├── .gitignore ├── LICENSE ├── README.md ├── data └── aksw-bib │ ├── aksw-bib-test_output.txt │ ├── aksw-bib.test.nt │ ├── aksw-bib.train+valid.nt │ ├── aksw-bib.w2v │ ├── aksw-bib_dictionary.txt │ ├── aksw-bib_output.txt │ ├── aksw-bib_output.txt.w2v │ └── aksw-bib_sentences.txt ├── kg2vec ├── analogy_predict.py ├── kg2vec_analogy.sh ├── kg2vec_lstm.sh ├── lstm_neural_net.py ├── make_dictionary.py └── train_model.py ├── notebooks └── explore_results.ipynb ├── requirements.txt └── run_logs ├── analogy_run1.log └── lstm_run1.log /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | 28 | # PyInstaller 29 | # Usually these files are written by a python script from a template 30 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 31 | *.manifest 32 | *.spec 33 | 34 | # Installer logs 35 | pip-log.txt 36 | pip-delete-this-directory.txt 37 | 38 | # Unit test / coverage reports 39 | htmlcov/ 40 | .tox/ 41 | .coverage 42 | .coverage.* 43 | .cache 44 | nosetests.xml 45 | coverage.xml 46 | *.cover 47 | .hypothesis/ 48 | 49 | # Translations 50 | *.mo 51 | *.pot 52 | 53 | # Django stuff: 54 | *.log 55 | local_settings.py 56 | 57 | # Flask stuff: 58 | instance/ 59 | .webassets-cache 60 | 61 | # Scrapy stuff: 62 | .scrapy 63 | 64 | # Sphinx documentation 65 | docs/_build/ 66 | 67 | # PyBuilder 68 | target/ 69 | 70 | # Jupyter Notebook 71 | .ipynb_checkpoints 72 | 73 | # pyenv 74 | .python-version 75 | 76 | # celery beat schedule file 77 | celerybeat-schedule 78 | 79 | # SageMath parsed files 80 | *.sage.py 81 | 82 | # dotenv 83 | .env 84 | 85 | # virtualenv 86 | .venv 87 | venv/ 88 | ENV/ 89 | 90 | # Spyder project settings 91 | .spyderproject 92 | .spyproject 93 | 94 | # Rope project settings 95 | .ropeproject 96 | 97 | # mkdocs documentation 98 | /site 99 | 100 | # mypy 101 | .mypy_cache/ 102 | 103 | #*.txt 104 | *.bak 105 | lib/ 106 | include/ 107 | bin/ 108 | pip-selfcheck.json 109 | 110 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2018 AKSW Research Group @ University of Leipzig 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # KG2Vec 2 | 🏎 KG2Vec: Expeditious Generation of Knowledge Graph Embeddings 3 | 4 | ## Usage 5 | 6 | * Download data from http://tsoru.aksw.org/kg2vec/ 7 | 8 | ```bash 9 | sh kg2vec_.sh 10 | ``` 11 | 12 | ### LSTM-based scoring function 13 | ```bash 14 | sh kg2vec_lstm.sh aksw-bib aksw-bib.train+valid.nt 10 aksw-bib.test.nt output random 100 15 | ``` 16 | 17 | ### Analogy-based scoring function 18 | ```bash 19 | sh kg2vec_analogy.sh aksw-bib aksw-bib.train+valid.nt 10 aksw-bib.test.nt output 20 | ``` 21 | 22 | ## Use cases 23 | 24 | * An add-on for the [Genesis Linked Data browser](https://github.com/dice-group/GENESIS/tree/diesel) uses a low-dimensional KG2Vec model trained on DBpedia for retrieving similar resources. 25 | 26 | ## Cite 27 | 28 | * Presented at the 5th European Conference on Data Analysis (ECDA 2018) as _"A Simple and Fast Approach to Knowledge Graph Embedding"_. 29 | * Working paper: https://arxiv.org/abs/1803.07828 30 | 31 | ```bib 32 | @proceedings{soru-kg2vec-2018, 33 | author = "Tommaso Soru and Stefano Ruberto and Diego Moussallem and Edgard Marx and Diego Esteves and Axel-Cyrille {Ngonga Ngomo}", 34 | title = "Expeditious Generation of Knowledge Graph Embeddings", 35 | year = "2018", 36 | } 37 | ``` 38 | -------------------------------------------------------------------------------- /data/aksw-bib/aksw-bib-test_output.txt: -------------------------------------------------------------------------------- 1 | id_0 pr_1 id_607 2 | id_0 pr_1 id_378 3 | id_396 pr_10 id_403 4 | id_0 pr_1 id_394 5 | id_12 pr_14 id_68 6 | id_234 pr_1 id_359 7 | id_365 pr_25 id_18 8 | id_26 pr_1 id_153 9 | id_46 pr_1 id_570 10 | id_7 pr_14 id_94 11 | id_400 pr_10 id_97 12 | id_543 pr_10 id_164 13 | id_554 pr_10 id_44 14 | id_377 pr_10 id_49 15 | id_0 pr_1 id_633 16 | id_83 pr_1 id_344 17 | id_7 pr_14 id_56 18 | id_579 pr_1 id_358 19 | id_181 pr_1 id_615 20 | id_32 pr_1 id_553 21 | id_107 pr_4 id_69 22 | id_108 pr_1 id_322 23 | id_562 pr_19 id_97 24 | id_915 pr_10 id_44 25 | id_53 pr_1 id_364 26 | id_108 pr_14 id_164 27 | id_157 pr_25 id_72 28 | id_315 pr_10 id_49 29 | id_7 pr_1 id_401 30 | id_320 pr_4 id_255 31 | id_12 pr_1 id_854 32 | id_0 pr_1 id_55 33 | id_216 pr_10 id_44 34 | id_349 pr_14 id_447 35 | id_0 pr_1 id_639 36 | id_626 pr_10 id_447 37 | id_181 pr_19 id_140 38 | id_218 pr_1 id_639 39 | id_32 pr_1 id_341 40 | id_132 pr_30 id_599 41 | id_26 pr_4 id_17 42 | id_0 pr_1 id_741 43 | id_46 pr_1 id_690 44 | id_0 pr_1 id_510 45 | id_254 pr_22 id_23 46 | id_7 pr_1 id_510 47 | id_29 pr_30 id_97 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-------------------------------------------------------------------------------- 1 | . 2 | . 3 | "NIF4OGGD" . 4 | . 5 | "SlideWiki.eu" . 6 | . 7 | "Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory" . 8 | . 9 | . 10 | "NIF Combinator: Combining NLP Tool Output" . 11 | . 12 | . 13 | . 14 | . 15 | "Git4Voc: Git-based Versioning for Collaborative Vocabulary Development" . 16 | . 17 | . 18 | . 19 | . 20 | "LOD2" . 21 | . 22 | . 23 | "Facete" . 24 | . 25 | . 26 | . 27 | . 28 | . 29 | . 30 | . 31 | . 32 | "The Catalogus Professorum Lipsiensis---Semantics-based Collaboration and Exploration for Historians" . 33 | . 34 | "Tapioca" . 35 | . 36 | . 37 | "Evaluating topic coherence measures" . 38 | . 39 | "Perspectives On Ontology Learning" . 40 | . 41 | . 42 | "Kontext-dynamische Informationsversorgung durch Prozesse und Ontologien" . 43 | "OLAP2DataCube: An Ontowiki Plugin for Statistical Data Publishing" . 44 | . 45 | . 46 | . 47 | . 48 | . 49 | . 50 | . 51 | "LinkedSpending" . 52 | . 53 | . 54 | . 55 | . 56 | . 57 | . 58 | "Combining Linked Data and Statistical Information Retrieval" . 59 | . 60 | . 61 | . 62 | "GeoKnow" . 63 | "Ronny Gey" . 64 | . 65 | . 66 | . 67 | "Semantische Datenintegration mit Hilfe von Semantic Web und Wiki-Technologien" . 68 | . 69 | "Effect of label noise in the complexity of classification problems" . 70 | . 71 | . 72 | . 73 | . 74 | "HANNE - A Holistic Application for Navigational Knowledge Engineering" . 75 | . 76 | . 77 | . 78 | . 79 | . 80 | . 81 | . 82 | . 83 | . 84 | . 85 | . 86 | . 87 | "LDAP 2 SPARQL" . 88 | . 89 | . 90 | . 91 | "Learning OWL Class Expressions" . 92 | "Kleanthi Georgala" . 93 | "The application of an ontology design pattern for functional abnormalities to phenotype ontologies and the extraction of an ontology of anatomical functions" . 94 | . 95 | . 96 | . 97 | . 98 | . 99 | . 100 | . 101 | "Overview of CLEF {Q}uestion {A}nswering Track 2014" . 102 | . 103 | "Hybrid Mobile Apps in the Google Play Store: an Exploratory Investigation" . 104 | . 105 | . 106 | . 107 | . 108 | . 109 | "Towards Federated, Semantics-based Supply Chain Analytics" . 110 | . 111 | . 112 | . 113 | "Inductive Lexical Learning of Class Expressions" . 114 | . 115 | . 116 | "Semantic Web Content Management" . 117 | . 118 | "LSQ: The Linked SPARQL Queries Dataset Technical Report" . 119 | . 120 | . 121 | . 122 | . 123 | . 124 | . 125 | . 126 | . 127 | . 128 | . 129 | "Databugger: A Test-driven Framework for Debugging the Web of Data" . 130 | . 131 | . 132 | . 133 | . 134 | "Enhanced generic information services using mobile messaging" . 135 | . 136 | . 137 | . 138 | "SparqlMap" . 139 | "I18n of Semantic Web Applications" . 140 | . 141 | . 142 | . 143 | . 144 | . 145 | . 146 | . 147 | . 148 | . 149 | . 150 | . 151 | . 152 | . 153 | "Multilingual Disambiguation of Named Entities Using Linked Data" . 154 | . 155 | . 156 | . 157 | "SparqlAnalytics" . 158 | . 159 | . 160 | "RDB2RDF: A relational to RDF plug-in for Eclipse." . 161 | . 162 | . 163 | . 164 | . 165 | "Dr. Andreas Both" . 166 | . 167 | "Implementing SPARQL Support for Relational Databases and Possible Enhancements" . 168 | . 169 | . 170 | . 171 | . 172 | . 173 | . 174 | . 175 | . 176 | . 177 | . 178 | . 179 | . 180 | . 181 | "Roy Meissner" . 182 | . 183 | . 184 | . 185 | . 186 | "TAIPAN: Automatic Property Mapping for Tabular Data" . 187 | . 188 | . 189 | . 190 | . 191 | . 192 | . 193 | . 194 | . 195 | . 196 | . 197 | "Web-Scale Extension of {RDF} Knowledge Bases from Templated Websites" . 198 | . 199 | . 200 | "Quit" . 201 | . 202 | . 203 | . 204 | . 205 | . 206 | . 207 | . 208 | . 209 | . 210 | . 211 | . 212 | . 213 | . 214 | . 215 | . 216 | . 217 | "Linked Data Reasoning" . 218 | "Rocker" . 219 | . 220 | . 221 | . 222 | . 223 | . 224 | . 225 | . 226 | . 227 | "Protecting Enterprise Linked Data - Enforcing scalable authorization on SPARQL queries" . 228 | "Johannes Schmidt" . 229 | . 230 | . 231 | . 232 | . 233 | . 234 | . 235 | . 236 | . 237 | "Unsupervised learning of link specifications: deterministic vs. non-deterministic" . 238 | "Border Flow---A local graph clustering algorithm for Natural Language Processing" . 239 | . 240 | "xOperator" . 241 | . 242 | . 243 | . 244 | "Strategies for Modelling and Representing Knowledge about Variant Rich Service Products" . 245 | "Diego Moussallem" . 246 | "Eine Schnittstelle f{\\\"u}r Arztpraxisdaten mittels einer Ontologie auf Basis von HL7 Version 3" . 247 | "AutoSPARQL" . 248 | . 249 | "DBpediaDQCrowd" . 250 | . 251 | "Exploring the Netherlands on a Semantic Path" . 252 | . 253 | . 254 | . 255 | . 256 | "A Fine-Grained Evaluation of {SPARQL} Endpoint Federation Systems" . 257 | . 258 | . 259 | . 260 | . 261 | . 262 | "Learning Semantic Web Technologies with the Web-Based SPARQLTrainer" . 263 | . 264 | . 265 | "Interlinking: Performance Assessment of User Evaluation vs. Supervised Learning Approaches" . 266 | . 267 | "Template-based {Q}uestion {A}nswering over {RDF} data" . 268 | "Semantic {S}earch {U}ser {I}nterface {P}atterns: {A}n {I}ntroduction" . 269 | . 270 | . 271 | . 272 | . 273 | . 274 | . 275 | . 276 | . 277 | . 278 | . 279 | . 280 | . 281 | . 282 | . 283 | . 284 | . 285 | . 286 | . 287 | . 288 | . 289 | . 290 | . 291 | . 292 | "Proceedings of the NLP and DBpedia Workshop in conjunction with the 12th International Semantic Web Conference (ISWC 2013) Sydney, Australia, October, 2013." . 293 | "GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research" . 294 | . 295 | "Crowdsourcing Linked Data quality assessment" . 296 | "Adaptive and Context-Sensitive Information Retrieval" . 297 | . 298 | . 299 | . 300 | . 301 | . 302 | "Using the One-vs-One decomposition to improve the performance of class\nnoise filters via an aggregation strategy in multi-class classification\nproblems" . 303 | "LSQ: The Linked SPARQL Queries Dataset" . 304 | . 305 | . 306 | "An Efficient Approach for the Generation of Allen Relations" . 307 | "The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud" . 308 | . 309 | . 310 | . 311 | . 312 | . 313 | "Balanced scoring method for multiple-mark questions" . 314 | . 315 | . 316 | "{Rapid OWL}---An Agile Knowledge Engineering Methodology" . 317 | . 318 | . 319 | . 320 | "Collaborative Development of Knowledge Bases in Distributed Requirements Elicitation." . 321 | . 322 | . 323 | . 324 | . 325 | . 326 | . 327 | . 328 | "{SoftWiki} - Agiles {Requirements-Engineering} f{\\\"u}r Softwareprojekte mit einer gro{\\ss}en Anzahl verteilter Stakeholder" . 329 | . 330 | . 331 | . 332 | . 333 | . 334 | . 335 | . 336 | "QualisBrasil" . 337 | . 338 | . 339 | "Clique-Based Clustering" . 340 | . 341 | . 342 | . 343 | "Andreas Both" . 344 | . 345 | . 346 | "Simon Bordewisch" . 347 | "Using DevOps Principles to Continuously Monitor RDF Data Quality" . 348 | . 349 | "Smart Data Web" . 350 | "Query Cache" . 351 | . 352 | . 353 | "The German {DBpedia}: A Sense Repository for Linking Entities" . 354 | . 355 | . 356 | . 357 | . 358 | . 359 | . 360 | "WYSIWYM authoring of structured content based on Schema.org" . 361 | "All That Glitters is not Gold -- Rule-Based Curation of Reference Datasets for Named Entity Recognition and Entity Linking" . 362 | . 363 | . 364 | . 365 | . 366 | . 367 | . 368 | . 369 | . 370 | . 371 | . 372 | . 373 | . 374 | "Proceedings of the first Workshop on Bio-Medical Semantic Indexing and {Q}uestion {A}nswering" . 375 | . 376 | . 377 | "re:publish" . 378 | . 379 | . 380 | . 381 | . 382 | . 383 | "Evaluating Entity Annotators Using GERBIL" . 384 | . 385 | . 386 | . 387 | . 388 | . 389 | "Involving the User in Semantic Search" . 390 | . 391 | . 392 | . 393 | -------------------------------------------------------------------------------- /data/aksw-bib/aksw-bib_dictionary.txt: -------------------------------------------------------------------------------- 1 | id_0 http://aksw.org/SoerenAuer 2 | 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id_136 pr_1 id_350 2612 | id_449 pr_4 id_17 2613 | id_487 pr_10 id_190 2614 | id_136 pr_14 id_452 2615 | id_542 pr_10 id_51 2616 | id_18 pr_14 id_21 2617 | id_761 pr_14 id_29 2618 | id_218 pr_19 id_485 2619 | id_151 pr_19 id_88 2620 | id_32 pr_19 id_277 2621 | id_462 pr_10 id_68 2622 | id_135 pr_22 id_941 2623 | id_234 pr_1 id_619 2624 | id_145 pr_14 id_492 2625 | id_349 pr_14 id_21 2626 | id_328 pr_10 id_159 2627 | id_942 pr_4 id_42 2628 | id_148 pr_1 id_875 2629 | id_35 pr_19 id_122 2630 | id_12 pr_1 id_943 2631 | id_320 pr_25 id_671 2632 | id_111 pr_10 id_113 2633 | id_393 pr_30 id_100 2634 | id_754 pr_10 id_387 2635 | id_263 pr_22 id_580 2636 | id_181 pr_1 id_487 2637 | id_12 pr_1 id_739 2638 | id_238 pr_10 id_404 2639 | id_675 pr_14 id_97 2640 | id_365 pr_4 id_67 2641 | id_0 pr_1 id_944 2642 | id_260 pr_25 id_587 2643 | id_32 pr_1 id_945 2644 | id_871 pr_10 id_49 2645 | id_450 pr_14 id_51 2646 | id_12 pr_1 id_79 2647 | id_227 pr_4 id_69 2648 | id_0 pr_1 id_946 2649 | id_54 pr_1 id_353 2650 | id_874 pr_4 id_5 2651 | id_931 pr_25 id_12 2652 | id_2 pr_10 id_44 2653 | id_448 pr_30 id_288 2654 | id_361 pr_1 id_645 2655 | id_31 pr_30 id_440 2656 | id_485 pr_4 id_67 2657 | id_0 pr_1 id_601 2658 | id_867 pr_10 id_66 2659 | id_428 pr_19 id_355 2660 | id_112 pr_10 id_387 2661 | id_0 pr_19 id_506 2662 | id_35 pr_1 id_669 2663 | id_12 pr_1 id_796 2664 | id_12 pr_1 id_882 2665 | id_537 pr_10 id_190 2666 | id_158 pr_10 id_45 2667 | id_485 pr_22 id_947 2668 | id_148 pr_1 id_197 2669 | id_207 pr_1 id_236 2670 | id_53 pr_14 id_263 2671 | id_12 pr_1 id_293 2672 | id_12 pr_1 id_948 2673 | id_778 pr_10 id_44 2674 | id_334 pr_14 id_146 2675 | id_949 pr_4 id_42 2676 | id_538 pr_14 id_509 2677 | id_7 pr_1 id_608 2678 | id_36 pr_1 id_553 2679 | id_12 pr_1 id_772 2680 | id_551 pr_4 id_17 2681 | id_35 pr_19 id_44 2682 | id_110 pr_4 id_5 2683 | id_354 pr_1 id_419 2684 | id_108 pr_14 id_21 2685 | id_26 pr_1 id_433 2686 | id_793 pr_10 id_44 2687 | id_505 pr_25 id_7 2688 | id_7 pr_14 id_479 2689 | id_288 pr_4 id_255 2690 | id_136 pr_14 id_88 2691 | id_82 pr_1 id_193 2692 | id_592 pr_10 id_44 2693 | id_607 pr_10 id_97 2694 | id_7 pr_1 id_342 2695 | id_46 pr_1 id_950 2696 | id_61 pr_4 id_69 2697 | id_89 pr_22 id_951 2698 | id_230 pr_14 id_498 2699 | id_7 pr_1 id_810 2700 | id_207 pr_19 id_20 2701 | id_57 pr_30 id_131 2702 | id_301 pr_4 id_595 2703 | id_263 pr_22 id_952 2704 | id_0 pr_1 id_139 2705 | id_806 pr_10 id_105 2706 | id_82 pr_1 id_806 2707 | id_847 pr_25 id_450 2708 | id_93 pr_30 id_49 2709 | id_173 pr_10 id_44 2710 | id_599 pr_4 id_69 2711 | id_298 pr_10 id_263 2712 | id_538 pr_14 id_122 2713 | id_584 pr_10 id_159 2714 | id_0 pr_1 id_357 2715 | id_18 pr_1 id_225 2716 | id_483 pr_4 id_595 2717 | id_7 pr_1 id_559 2718 | id_689 pr_10 id_326 2719 | id_326 pr_4 id_255 2720 | id_82 pr_14 id_29 2721 | id_82 pr_1 id_370 2722 | id_253 pr_10 id_44 2723 | id_551 pr_1 id_519 2724 | id_318 pr_1 id_715 2725 | id_382 pr_25 id_658 2726 | id_753 pr_10 id_51 2727 | id_181 pr_1 id_789 2728 | id_35 pr_1 id_391 2729 | id_12 pr_1 id_138 2730 | id_181 pr_1 id_274 2731 | id_49 pr_22 id_191 2732 | id_32 pr_1 id_400 2733 | id_436 pr_14 id_664 2734 | id_51 pr_30 id_278 2735 | id_132 pr_30 id_86 2736 | id_232 pr_10 id_44 2737 | id_82 pr_1 id_466 2738 | id_7 pr_1 id_357 2739 | id_35 pr_1 id_398 2740 | id_925 pr_10 id_28 2741 | id_143 pr_19 id_814 2742 | id_145 pr_14 id_68 2743 | id_148 pr_14 id_482 2744 | id_82 pr_14 id_440 2745 | id_72 pr_1 id_62 2746 | id_356 pr_1 id_274 2747 | id_36 pr_1 id_144 2748 | id_148 pr_1 id_534 2749 | id_334 pr_14 id_227 2750 | id_473 pr_10 id_190 2751 | id_26 pr_1 id_581 2752 | id_0 pr_1 id_953 2753 | id_642 pr_14 id_209 2754 | id_610 pr_10 id_254 2755 | -------------------------------------------------------------------------------- /kg2vec/analogy_predict.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | from gensim.models import KeyedVectors as kv 3 | import sys 4 | 5 | TRAINING = sys.argv[1] 6 | TEST = TRAINING + '-test' 7 | VERB_TYPE = sys.argv[2] 8 | 9 | model = kv.load_word2vec_format(TRAINING + '_' + VERB_TYPE + '.txt.w2v') 10 | 11 | # # collect properties 12 | # props = set() 13 | # with open(TRAINING + '_output.txt') as f: 14 | # for line in f: 15 | # triple = line[:-1].split(' ') 16 | # props.add(triple[1]) 17 | 18 | uri2id = {'&': '-2', '^': '-1'} 19 | id2uri = {'-2': '&', '-1': '^'} 20 | with open(TRAINING + '_dictionary.txt') as f: 21 | for line in f: 22 | sp = line.find(' ') 23 | line = [line[:sp], line[sp + 1:-1]] 24 | id2uri[line[0]] = line[1] 25 | uri2id[line[1]] = line[0] 26 | 27 | training = set() 28 | with open(TRAINING + '_output.txt') as data: 29 | for dline in data: 30 | training.add(dline) 31 | 32 | 33 | def is_in_training(s, p, o): 34 | string = "{} {} {}\n".format(s, p, o) 35 | if string in training: 36 | return True 37 | return False 38 | 39 | 40 | # c = 0 41 | with open(TEST + '_output.txt') as test: 42 | for tline in test: 43 | ttriple = tline[:-1].split(' ') 44 | s_uri = id2uri[ttriple[0]] 45 | p_uri = id2uri[ttriple[1]] 46 | # print [id2uri[x] for x in ttriple] 47 | 48 | # dict() object -> occurrences 49 | occur = dict() 50 | with open(TRAINING + '_output.txt') as data: 51 | for dline in data: 52 | dtriple = dline[:-1].split(' ') 53 | if dtriple[1] == uri2id[p_uri]: 54 | msim = model.most_similar(positive=[uri2id[s_uri], dtriple[2]], negative=[dtriple[0]], topn=1) 55 | # print ":", [train_id2uri[x] for x in dtriple] 56 | # print " {} : {} = {} : {}".format(s_uri, train_id2uri[dtriple[0]], "x", train_id2uri[dtriple[2]]) 57 | for asim in msim: 58 | obj, sim = asim[0], asim[1] 59 | if is_in_training(uri2id[s_uri], dtriple[1], obj): 60 | continue 61 | # print " x =", train_id2uri[obj], sim 62 | if obj not in occur: 63 | occur[obj] = 0 64 | occur[obj] += 1 65 | 66 | # compute triples confidence 67 | maxval = None 68 | for key, value in sorted(occur.items(), key=lambda kv: (kv[1], kv[0]), reverse=True)[:20]: 69 | if maxval is None: 70 | maxval = value 71 | print("{}\t<{}> <{}> <{}>".format(float(value) / maxval, s_uri, p_uri, id2uri[key])) 72 | 73 | # c += 1 74 | # if c > 10: 75 | # break 76 | -------------------------------------------------------------------------------- /kg2vec/kg2vec_analogy.sh: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env bash 2 | 3 | # arguments: 4 | echo "KG2Vec: dataset_id=$1 training_data=$2 dimensions=$3 test_data=$4 verbalization_type=$5 scoring=analogy" 5 | 6 | # learning 7 | python make_dictionary.py $2 $1 $4 8 | python train_model.py $1_$5.txt $3 9 | 10 | # prediction 11 | python analogy_predict.py $1 $5 12 | -------------------------------------------------------------------------------- /kg2vec/kg2vec_lstm.sh: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env bash 2 | 3 | # arguments: 4 | echo "KG2Vec: dataset_id=$1 training_data=$2 dimensions=$3 test_data=$4 verbalization_type=$5 neg_sampling=$6 epochs=$7 scoring=lstm" 5 | 6 | # learning 7 | python make_dictionary.py $2 $1 $4 8 | python train_model.py $1_$5.txt $3 9 | 10 | # prediction 11 | python lstm_neural_net.py $1 $5 $6 $7 12 | -------------------------------------------------------------------------------- /kg2vec/lstm_neural_net.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # LSTM for sequence classification 3 | import numpy 4 | # from keras.callbacks import Callback 5 | from keras.models import Sequential 6 | from keras.layers import Dense, LSTM 7 | # from keras.preprocessing import sequence 8 | import sys 9 | 10 | dsid = sys.argv[1] 11 | verb_type = sys.argv[2] 12 | neg_sampling = sys.argv[3] 13 | epochs = sys.argv[4] 14 | 15 | embeddings = "{}_{}.txt.w2v".format(dsid, verb_type) 16 | train_triples = "{}_output.txt".format(dsid) 17 | test_triples = "{}-test_output.txt".format(dsid) 18 | dictionary = "{}_dictionary.txt".format(dsid) 19 | 20 | # fix random seed for reproducibility 21 | numpy.random.seed(7) 22 | NEG_RATE = 1 23 | N_EPOCHS = int(epochs) 24 | 25 | X_train = list() 26 | y_train = list() 27 | vectors = dict() 28 | size = None 29 | with open(embeddings) as f: 30 | for line in f: 31 | line = line[:-1].split(' ') 32 | if len(line) == 2: 33 | continue 34 | vectors[line[0]] = line[1:] 35 | size = len(line[1:]) 36 | print("Embeddings loaded.") 37 | sys.stdout.flush() 38 | 39 | training = dict() 40 | with open(train_triples) as f: 41 | for line in f: 42 | line = line[:-1].split(' ') 43 | seq = [vectors[x] for x in line] 44 | key = (line[0], line[1]) 45 | if key not in training: 46 | training[key] = list() 47 | training[key].append(line[2]) 48 | X_train.append(seq) 49 | y_train.append(1.0) 50 | print("Training triples loaded and indexed.") 51 | sys.stdout.flush() 52 | 53 | X_test = list() 54 | y_test = list() 55 | idx_test = list() 56 | with open(test_triples) as f: 57 | for line in f: 58 | line = line[:-1].split(' ') 59 | seq = [vectors[x] for x in line] 60 | idx_test.append(line) 61 | X_test.append(seq) 62 | y_test.append(1.0) 63 | print("Test triples loaded and indexed.") 64 | sys.stdout.flush() 65 | 66 | vkeys = list(vectors.keys()) 67 | id2uri = dict() 68 | with open(dictionary) as f: 69 | for line in f: 70 | sp = line.find(' ') 71 | line = [line[:sp], line[sp+1:-1]] 72 | id2uri[line[0]] = line[1] 73 | print("Dictionary loaded.") 74 | print("Negative sampling:", neg_sampling) 75 | sys.stdout.flush() 76 | if neg_sampling == "random": 77 | 78 | tr_size = len(y_train) 79 | lenv = len(vectors) 80 | for i in range(NEG_RATE * tr_size): 81 | idx0 = None 82 | idx1 = None 83 | idx2 = None 84 | while True: 85 | idx0 = vkeys[int(numpy.random.random() * lenv)] 86 | if idx0.startswith("id_"): 87 | break 88 | while True: 89 | idx1 = vkeys[int(numpy.random.random() * lenv)] 90 | if idx1.startswith("pr_"): 91 | break 92 | if (idx0, idx1) not in training: 93 | while True: 94 | idx2 = vkeys[int(numpy.random.random() * lenv)] 95 | if idx2.startswith("id_"): 96 | break 97 | else: 98 | while True: 99 | idx2 = vkeys[int(numpy.random.random() * lenv)] 100 | if idx2.startswith("id_") and idx2 not in training[(idx0, idx1)]: 101 | break 102 | idx = [idx0, idx1, idx2] 103 | # print [id2uri[x] for x in idx] 104 | sys.stdout.flush() 105 | 106 | seq = [vectors[idx[x]] for x in range(3)] 107 | X_train.append(seq) 108 | y_train.append(0.0) 109 | if i % 1000 == 0: 110 | print("{} negative triples sampled.".format(i+1)) 111 | sys.stdout.flush() 112 | 113 | elif neg_sampling == "corrupt": 114 | 115 | for key in training: 116 | idx_orig = key 117 | for j in range(len(training[key])): 118 | added = set() 119 | while len(added) < NEG_RATE: 120 | random_obj = vkeys[int(numpy.random.random() * len(vectors))] 121 | if random_obj not in training[key]: 122 | added.add(random_obj) 123 | for random_obj in added: 124 | idx = list(idx_orig) 125 | idx.append(random_obj) 126 | print([id2uri[x] for x in idx]) 127 | sys.stdout.flush() 128 | 129 | seq = [vectors[idx[x]] for x in range(3)] 130 | X_train.append(seq) 131 | y_train.append(0.0) 132 | 133 | else: 134 | # will probably fail for having no negatives 135 | print("+++ WARNING: no negatives generated! +++") 136 | sys.stdout.flush() 137 | 138 | print("dimensions:", size) 139 | print("train size:", len(X_train)) 140 | # print "train y:", y_train 141 | print("test size:", len(X_test)) 142 | # print "test y:", y_test 143 | sys.stdout.flush() 144 | 145 | # X_train = sequence.pad_sequences(X_train) 146 | # X_test = sequence.pad_sequences(X_test) 147 | X_train = numpy.asarray(X_train) 148 | y_train = numpy.asarray(y_train) 149 | X_test = numpy.asarray(X_test) 150 | y_test = numpy.asarray(y_test) 151 | 152 | # class TestCallback(Callback): 153 | # def __init__(self, test_data): 154 | # self.test_data = test_data 155 | # 156 | # def on_epoch_end(self, epoch, logs={}): 157 | # x, y = self.test_data 158 | # loss, acc = self.model.evaluate(x, y, verbose=0) 159 | # print('\nTesting loss: {}, acc: {:.2f}\n'.format(loss, acc*100)) 160 | 161 | # create the model 162 | model = Sequential() 163 | model.add(LSTM(size, input_shape=(3, size))) #, return_sequences=True)) 164 | # model.add(LSTM(size)) 165 | model.add(Dense(1, activation='sigmoid')) 166 | model.compile(loss='mean_squared_error', optimizer='adam') #, metrics=['accuracy']) 167 | print(model.summary()) 168 | sys.stdout.flush() 169 | model.fit(X_train, y_train, epochs=N_EPOCHS, batch_size=16) #, callbacks=[TestCallback((X_test, y_test))]) 170 | 171 | # # # # Final evaluation of the model 172 | # for i in range(len(y_test)): 173 | # confidence = model.predict(X_test[i:i+1], verbose=1)[0][0] 174 | # triple = " ".join(["<" + id2uri[x] + ">" for x in idx_test[i]]) 175 | # print "{}\t{}".format(confidence, triple) 176 | # # scores = model.evaluate(X_test[i:i+1], y_test[i:i+1], verbose=0) 177 | # # print("example: {}\n\t{}\n\tlabel: {}\n\taccuracy: {:.2f}".format(i, [id2uri[x] for x in idx_test[i]], y_test[i], scores[1]*100)) 178 | 179 | hits1 = 0 180 | hits3 = 0 181 | hits10 = 0 182 | for ttriple in idx_test: 183 | x = list() 184 | tpl = list() 185 | s_uri = id2uri[ttriple[0]] 186 | p_uri = id2uri[ttriple[1]] 187 | o_uri = id2uri[ttriple[2]] 188 | # target link 189 | x0 = [[vectors[ttriple[0]], vectors[ttriple[1]], vectors[ttriple[2]]]] 190 | confid_x0 = model.predict(numpy.asarray(x0), verbose=0)[0][0] 191 | # print "{}\t<{}> <{}> <{}>".format(confid_x0, s_uri, p_uri, o_uri) 192 | 193 | for key in vkeys: 194 | if key.startswith("pr_") or ttriple[2] == key: 195 | continue 196 | if (ttriple[0], ttriple[1]) in training: 197 | if key in training[(ttriple[0], ttriple[1])]: 198 | continue # filtered hits@N 199 | x.append([vectors[ttriple[0]], vectors[ttriple[1]], vectors[key]]) 200 | tpl.append("<{}> <{}> <{}>".format(s_uri, p_uri, id2uri[key])) 201 | confidence = model.predict(numpy.asarray(x), verbose=0) 202 | score = 1 203 | for c, t in zip(confidence, tpl): 204 | # print "{}\t{}".format(c[0], t) 205 | if c > confid_x0: 206 | score += 1 207 | if score <= 10: 208 | hits10 += 1 209 | if score <= 3: 210 | hits3 += 1 211 | if score <= 1: 212 | hits1 += 1 213 | 214 | print("hits@1:", float(hits1) / len(idx_test)) 215 | print("hits@3:", float(hits3) / len(idx_test)) 216 | print("hits@10:", float(hits10) / len(idx_test)) 217 | -------------------------------------------------------------------------------- /kg2vec/make_dictionary.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | from rdflib.plugins.parsers.ntriples import NTriplesParser, Sink 3 | from rdflib.term import URIRef 4 | import random 5 | import math 6 | import sys 7 | 8 | #reload(sys) 9 | #sys.setdefaultencoding("utf-8") 10 | 11 | N_CONTEXTS = 1 12 | # SUBJECT_PRES = 0.2 13 | 14 | filename = sys.argv[1] 15 | dsid = sys.argv[2] 16 | if len(sys.argv) > 3: 17 | filename2 = sys.argv[3] 18 | else: 19 | filename2 = None 20 | 21 | class MyParser(NTriplesParser): 22 | def parse(self, f): 23 | super(MyParser, self).parse(f) 24 | 25 | class TrainingSink(Sink): 26 | 27 | def __init__(self): 28 | self.d = dict() 29 | self.f = open("{}_dictionary.txt".format(dsid), 'w') 30 | self.out = open("{}_output.txt".format(dsid), 'w') 31 | self.prox = dict() 32 | self.preds = dict() 33 | 34 | def finish(self): 35 | self.f.close() 36 | self.out.close() 37 | 38 | def triple(self, s, p, o): 39 | if not type(o) is URIRef: 40 | return # ignore literals 41 | 42 | # print s,p,o 43 | s_ = str(s) 44 | p_ = str(p) 45 | o_ = str(o) 46 | if s_ not in self.d: 47 | self.d[s_] = "id_" + str(len(self.d)) 48 | self.f.write("{} {}\n".format(self.d[s_], s_)) 49 | s_id = self.d[s_] 50 | 51 | if p_ not in self.d: 52 | self.d[p_] = "pr_" + str(len(self.d)) 53 | self.f.write("{} {}\n".format(self.d[p_], p_)) 54 | p_id = self.d[p_] 55 | 56 | if o_ not in self.d: 57 | self.d[o_] = "id_" + str(len(self.d)) 58 | self.f.write("{} {}\n".format(self.d[o_], o_)) 59 | o_id = self.d[o_] 60 | 61 | self.out.write("{} {} {}\n".format(s_id, p_id, o_id)) 62 | 63 | # index proximities 64 | if s_id not in self.prox: 65 | self.prox[s_id] = list() # with repetition ~ weighted 66 | # self.prox[s_id].append(o_id) 67 | # self.prox[s_id].append("{} {} {}".format(s_id, p_id, o_id)) 68 | self.prox[s_id].append("{} {} {}".format(s_id, p_id, o_id)) 69 | if o_id not in self.prox: 70 | self.prox[o_id] = list() 71 | # self.prox[o_id].append(s_id) 72 | # self.prox[o_id].append("{} {} -1 {}".format(o_id, p_id, s_id)) 73 | self.prox[o_id].append("{} {} {}".format(s_id, p_id, o_id)) 74 | 75 | # # index predicates 76 | # if p_id not in self.preds: 77 | # self.preds[p_id] = list() 78 | # self.preds[p_id].append((s_id, o_id)) 79 | 80 | class TestSink(Sink): 81 | 82 | def __init__(self, d): 83 | self.d = d 84 | self.out = open("{}-test_output.txt".format(dsid), 'w') 85 | 86 | def finish(self): 87 | self.out.close() 88 | 89 | def triple(self, s, p, o): 90 | if not type(o) is URIRef: 91 | return # ignore literals 92 | 93 | # print s,p,o 94 | s_ = str(s) 95 | p_ = str(p) 96 | o_ = str(o) 97 | try: 98 | s_id = self.d[s_] 99 | p_id = self.d[p_] 100 | o_id = self.d[o_] 101 | except KeyError: 102 | return # ignore resources not in training data 103 | 104 | self.out.write("{} {} {}\n".format(s_id, p_id, o_id)) 105 | 106 | src = TrainingSink() 107 | src_n = MyParser(src) 108 | with open(filename, "rb") as anons: 109 | src_n.parse(anons) 110 | 111 | if filename2 is not None: 112 | src2 = TestSink(src.d) 113 | src2_n = MyParser(src2) 114 | with open(filename2, "rb") as anons: 115 | src2_n.parse(anons) 116 | 117 | with open("{}_sentences.txt".format(dsid), 'w') as f: 118 | for subject in src.prox.keys(): 119 | # print subject, src.prox[subject] 120 | sentences = set() 121 | for c in range(N_CONTEXTS): 122 | pool = list(src.prox[subject]) 123 | sentence = "" 124 | # for j in range(int(math.ceil(SUBJECT_PRES * len(pool)))): 125 | # pool.append(subject) 126 | for i in range(len(pool)): 127 | # extract a random object from pool 128 | extr = pool[int(len(pool) * random.random())] 129 | sentence += " " + str(extr) 130 | # sentence += " " + str(extr) + " -2" 131 | # sentences.add(extr) 132 | pool.remove(extr) 133 | sentences.add(sentence.strip()) 134 | 135 | for s in sentences: 136 | f.write("{}\n".format(s)) 137 | 138 | -------------------------------------------------------------------------------- /kg2vec/train_model.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | import os 3 | import sys 4 | import logging 5 | 6 | program = os.path.basename(sys.argv[0]) 7 | logger = logging.getLogger(program) 8 | logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s') 9 | logging.root.setLevel(level=logging.INFO) 10 | 11 | def learn(inp, outp, size): 12 | from gensim.models.word2vec import LineSentence 13 | import multiprocessing 14 | from gensim.models import Word2Vec 15 | logger.info("running %s" % ' '.join(sys.argv)) 16 | model = Word2Vec(LineSentence(inp), size=int(size), window=3, sample=0, negative=5, min_count=1, workers=multiprocessing.cpu_count()) 17 | # trim unneeded model memory = use (much) less RAM 18 | model.init_sims(replace=True) 19 | model.wv.save_word2vec_format(outp) 20 | return model 21 | 22 | learn(sys.argv[1], sys.argv[1] + '.w2v', int(sys.argv[2])) 23 | -------------------------------------------------------------------------------- /notebooks/explore_results.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": {}, 7 | "outputs": [ 8 | { 9 | "name": "stdout", 10 | "output_type": "stream", 11 | "text": [ 12 | "LICENSE aksw-bib_output.txt lstm_neural_net.py\n", 13 | "README.md aksw-bib_output.txt.w2v \u001b[31mmake_dictionary.py\u001b[m\u001b[m*\n", 14 | "aksw-bib-test_output.txt aksw-bib_sentences.txt requirements.txt\n", 15 | "aksw-bib.test.nt \u001b[31manalogy_predict.py\u001b[m\u001b[m* \u001b[1m\u001b[36mrun_logs\u001b[m\u001b[m/\n", 16 | "aksw-bib.train+valid.nt explore_results.ipynb \u001b[31mtrain_model.py\u001b[m\u001b[m*\n", 17 | "aksw-bib.w2v \u001b[31mkg2vec_analogy.sh\u001b[m\u001b[m*\n", 18 | "aksw-bib_dictionary.txt \u001b[31mkg2vec_lstm.sh\u001b[m\u001b[m*\n" 19 | ] 20 | } 21 | ], 22 | "source": [ 23 | "ls" 24 | ] 25 | }, 26 | { 27 | "cell_type": "code", 28 | "execution_count": 2, 29 | "metadata": {}, 30 | "outputs": [], 31 | "source": [ 32 | "dictionary = {l.split()[0].strip():l.split()[1].strip() \n", 33 | " for l in open('aksw-bib_dictionary.txt', 'r').readlines()\n", 34 | " }" 35 | ] 36 | }, 37 | { 38 | "cell_type": "markdown", 39 | "metadata": {}, 40 | "source": [ 41 | "# Results" 42 | ] 43 | }, 44 | { 45 | "cell_type": "code", 46 | "execution_count": 3, 47 | "metadata": {}, 48 | "outputs": [], 49 | "source": [ 50 | "# output\n", 51 | "results = [(x.split()[0],x.split()[1],x.split()[2]) \n", 52 | " for x in open('aksw-bib_output.txt', 'r').readlines()]" 53 | ] 54 | }, 55 | { 56 | "cell_type": "code", 57 | "execution_count": 4, 58 | "metadata": {}, 59 | "outputs": [ 60 | { 61 | "name": "stdout", 62 | "output_type": "stream", 63 | "text": [ 64 | "triple 13:\n", 65 | "\th: http://aksw.org/SebastianHellmann\n", 66 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 67 | "\tt: http://aksw.org/Publication/DOJCHINOVSKI16.578\n", 68 | "triple 14:\n", 69 | "\th: http://aksw.org/Projects/Xturtle\n", 70 | "\tr: http://usefulinc.com/ns/doap#maintainer\n", 71 | "\tt: http://aksw.org/SebastianTramp\n", 72 | "triple 15:\n", 73 | "\th: http://aksw.org/DimitrisKontokostas\n", 74 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 75 | "\tt: http://aksw.org/Publication/kontokostasDatabugger\n", 76 | "triple 16:\n", 77 | "\th: http://aksw.org/AntjeSchlaf\n", 78 | "\tr: http://xmlns.com/foaf/0.1/currentProject\n", 79 | "\tt: http://aksw.org/Projects/SlideWikiEU\n", 80 | "triple 17:\n", 81 | "\th: http://aksw.org/StudentWorker/ViktorBefort\n", 82 | "\tr: http://www.w3.org/1999/02/22-rdf-syntax-ns#type\n", 83 | "\tt: http://aksw.org/StudentWorker\n", 84 | "triple 18:\n", 85 | "\th: http://hawk.aksw.org\n", 86 | "\tr: http://www.w3.org/1999/02/22-rdf-syntax-ns#type\n", 87 | "\tt: http://aksw.org/schema/Demo\n", 88 | "triple 19:\n", 89 | "\th: http://aksw.org/Publication/iglesias-j-2011--a\n", 90 | "\tr: http://purl.org/dc/terms/subject\n", 91 | "\tt: http://aksw.org/Projects/LOD2\n" 92 | ] 93 | } 94 | ], 95 | "source": [ 96 | "for triple in results[13:20]:\n", 97 | " h, r, t = triple\n", 98 | " idx = results.index(triple)\n", 99 | " print(f'triple {idx}:')\n", 100 | " print(f'\\th: {dictionary[h]}\\n\\tr: {dictionary[r]}\\n\\tt: {dictionary[t]}')" 101 | ] 102 | }, 103 | { 104 | "cell_type": "code", 105 | "execution_count": 5, 106 | "metadata": {}, 107 | "outputs": [], 108 | "source": [ 109 | "# test_output\n", 110 | "results = [(x.split()[0],x.split()[1],x.split()[2]) \n", 111 | " for x in open('aksw-bib-test_output.txt', 'r').readlines()]" 112 | ] 113 | }, 114 | { 115 | "cell_type": "code", 116 | "execution_count": 6, 117 | "metadata": {}, 118 | "outputs": [ 119 | { 120 | "name": "stdout", 121 | "output_type": "stream", 122 | "text": [ 123 | "triple 13:\n", 124 | "\th: http://aksw.org/Publication/Sherif-thesis-2016\n", 125 | "\tr: http://purl.org/dc/terms/subject\n", 126 | "\tt: http://aksw.org/Projects/GeoKnow\n", 127 | "triple 14:\n", 128 | "\th: http://aksw.org/SoerenAuer\n", 129 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 130 | "\tt: http://aksw.org/Publication/ermilov-t-2011--a\n", 131 | "triple 15:\n", 132 | "\th: http://aksw.org/MatthiasWauer\n", 133 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 134 | "\tt: http://aksw.org/Publication/wasabi_generator\n", 135 | "triple 16:\n", 136 | "\th: http://aksw.org/JensLehmann\n", 137 | "\tr: http://xmlns.com/foaf/0.1/currentProject\n", 138 | "\tt: http://aksw.org/Projects/DeFacto\n", 139 | "triple 17:\n", 140 | "\th: http://aksw.org/NormanHeino\n", 141 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 142 | "\tt: http://aksw.org/Publication/NGO+11\n", 143 | "triple 18:\n", 144 | "\th: http://aksw.org/MichaelMartin\n", 145 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 146 | "\tt: http://aksw.org/Publication/iermilov-2016-lodstats-iswc\n", 147 | "triple 19:\n", 148 | "\th: http://aksw.org/SebastianHellmann\n", 149 | "\tr: http://dblp.uni-trier.de/rdf/schema-2017-04-18#authorOf\n", 150 | "\tt: http://aksw.org/Publication/eswc_rdfunit_nlp\n" 151 | ] 152 | } 153 | ], 154 | "source": [ 155 | "for triple in results[13:20]:\n", 156 | " h, r, t = triple\n", 157 | " idx = results.index(triple)\n", 158 | " print(f'triple {idx}:')\n", 159 | " print(f'\\th: {dictionary[h]}\\n\\tr: {dictionary[r]}\\n\\tt: {dictionary[t]}')" 160 | ] 161 | } 162 | ], 163 | "metadata": { 164 | "kernelspec": { 165 | "display_name": "Python 3", 166 | "language": "python", 167 | "name": "python3" 168 | }, 169 | "language_info": { 170 | "codemirror_mode": { 171 | "name": "ipython", 172 | "version": 3 173 | }, 174 | "file_extension": ".py", 175 | "mimetype": "text/x-python", 176 | "name": "python", 177 | "nbconvert_exporter": "python", 178 | "pygments_lexer": "ipython3", 179 | "version": "3.6.5" 180 | } 181 | }, 182 | "nbformat": 4, 183 | "nbformat_minor": 2 184 | } 185 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | rdflib==4.2.2 2 | keras==2.2.4 3 | gensim==2.1.0 4 | tensorflow==1.15.2 5 | -------------------------------------------------------------------------------- /run_logs/lstm_run1.log: -------------------------------------------------------------------------------- 1 | (.env2) 11/8/18|3:23:46 ➜ KG2Vec git:(master) ✗ 2 | $ sh kg2vec_lstm.sh aksw-bib aksw-bib.train+valid.nt 10 aksw-bib.test.nt output random 100 3 | 4 | KG2Vec: dataset_id=aksw-bib training_data=aksw-bib.train+valid.nt dimensions=10 test_data=aksw-bib.test.nt verbalization_type=output neg_sampling=random epochs=100 scoring=lstm 5 | 2018-11-08 15:23:58,696 : INFO : 'pattern' package not found; tag filters are not available for English 6 | 2018-11-08 15:23:58,700 : INFO : running train_model.py aksw-bib_output.txt 10 7 | 2018-11-08 15:23:58,704 : WARNING : consider setting layer size to a multiple of 4 for greater performance 8 | 2018-11-08 15:23:58,704 : INFO : collecting all words and their counts 9 | 2018-11-08 15:23:58,704 : INFO : PROGRESS: at sentence #0, processed 0 words, keeping 0 word types 10 | 2018-11-08 15:23:58,715 : INFO : collected 954 word types from a corpus of 8262 raw words and 2754 sentences 11 | 2018-11-08 15:23:58,715 : INFO : Loading a fresh vocabulary 12 | 2018-11-08 15:23:58,720 : INFO : min_count=1 retains 954 unique words (100% of original 954, drops 0) 13 | 2018-11-08 15:23:58,720 : INFO : min_count=1 leaves 8262 word corpus (100% of original 8262, drops 0) 14 | 2018-11-08 15:23:58,723 : INFO : deleting the raw counts dictionary of 954 items 15 | 2018-11-08 15:23:58,723 : INFO : sample=0 downsamples 0 most-common words 16 | 2018-11-08 15:23:58,724 : INFO : downsampling leaves estimated 8262 word corpus (100.0% of prior 8262) 17 | 2018-11-08 15:23:58,724 : INFO : estimated required memory for 954 words and 10 dimensions: 553320 bytes 18 | 2018-11-08 15:23:58,726 : INFO : resetting layer weights 19 | 2018-11-08 15:23:58,744 : INFO : training model with 4 workers on 954 vocabulary and 10 features, using sg=0 hs=0 sample=0 negative=5 window=3 20 | 2018-11-08 15:23:58,836 : INFO : worker thread finished; awaiting finish of 3 more threads 21 | 2018-11-08 15:23:58,838 : INFO : worker thread finished; awaiting finish of 2 more threads 22 | 2018-11-08 15:23:58,838 : INFO : worker thread finished; awaiting finish of 1 more threads 23 | 2018-11-08 15:23:58,841 : INFO : worker thread finished; awaiting finish of 0 more threads 24 | 2018-11-08 15:23:58,842 : INFO : training on 41310 raw words (41310 effective words) took 0.1s, 434120 effective words/s 25 | 2018-11-08 15:23:58,842 : WARNING : under 10 jobs per worker: consider setting a smaller `batch_words' for smoother alpha decay 26 | 2018-11-08 15:23:58,842 : INFO : precomputing L2-norms of word weight vectors 27 | 2018-11-08 15:23:58,849 : INFO : storing 954x10 projection weights into aksw-bib_output.txt.w2v 28 | Using TensorFlow backend. 29 | Embeddings loaded. 30 | Training triples loaded and indexed. 31 | Test triples loaded and indexed. 32 | Dictionary loaded. 33 | ('Negative sampling:', 'random') 34 | 1 negative triples sampled. 35 | 1001 negative triples sampled. 36 | 2001 negative triples sampled. 37 | ('dimensions:', 10) 38 | ('train size:', 5508) 39 | ('test size:', 286) 40 | _________________________________________________________________ 41 | Layer (type) Output Shape Param # 42 | ================================================================= 43 | lstm_1 (LSTM) (None, 10) 840 44 | _________________________________________________________________ 45 | dense_1 (Dense) (None, 1) 11 46 | ================================================================= 47 | Total params: 851 48 | Trainable params: 851 49 | Non-trainable params: 0 50 | _________________________________________________________________ 51 | None 52 | Epoch 1/100 53 | 2018-11-08 15:24:01.964730: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 54 | 5508/5508 [==============================] - 2s 378us/step - loss: 0.2408 55 | Epoch 2/100 56 | 5508/5508 [==============================] - 1s 261us/step - loss: 0.1979 57 | Epoch 3/100 58 | 5508/5508 [==============================] - 1s 264us/step - loss: 0.1492 59 | Epoch 4/100 60 | 5508/5508 [==============================] - 1s 263us/step - loss: 0.1228 61 | Epoch 5/100 62 | 5508/5508 [==============================] - 1s 262us/step - loss: 0.1055 63 | Epoch 6/100 64 | 5508/5508 [==============================] - 1s 265us/step - loss: 0.0983 65 | Epoch 7/100 66 | 5508/5508 [==============================] - 1s 254us/step - loss: 0.0942 67 | Epoch 8/100 68 | 5508/5508 [==============================] - 1s 268us/step - loss: 0.0915 69 | Epoch 9/100 70 | 5508/5508 [==============================] - 1s 266us/step - loss: 0.0890 71 | Epoch 10/100 72 | 5508/5508 [==============================] - 1s 261us/step - loss: 0.0869 73 | Epoch 11/100 74 | 5508/5508 [==============================] - 1s 265us/step - loss: 0.0841 75 | Epoch 12/100 76 | 5508/5508 [==============================] - 2s 316us/step - loss: 0.0809 77 | Epoch 13/100 78 | 5508/5508 [==============================] - 2s 324us/step - loss: 0.0770 79 | Epoch 14/100 80 | 5508/5508 [==============================] - 2s 286us/step - loss: 0.0733 81 | Epoch 15/100 82 | 5508/5508 [==============================] - 2s 276us/step - loss: 0.0703 83 | Epoch 16/100 84 | 5508/5508 [==============================] - 2s 289us/step - loss: 0.0680 85 | Epoch 17/100 86 | 5508/5508 [==============================] - 2s 273us/step - loss: 0.0661 87 | Epoch 18/100 88 | 5508/5508 [==============================] - 2s 298us/step - loss: 0.0646 89 | Epoch 19/100 90 | 5508/5508 [==============================] - 2s 289us/step - loss: 0.0633 91 | Epoch 20/100 92 | 5508/5508 [==============================] - 2s 285us/step - loss: 0.0619 93 | Epoch 21/100 94 | 5508/5508 [==============================] - 2s 296us/step - loss: 0.0611 95 | Epoch 22/100 96 | 5508/5508 [==============================] - 2s 307us/step - loss: 0.0601 97 | Epoch 23/100 98 | 5508/5508 [==============================] - 2s 296us/step - loss: 0.0593 99 | Epoch 24/100 100 | 5508/5508 [==============================] - 2s 305us/step - loss: 0.0582 101 | Epoch 25/100 102 | 5508/5508 [==============================] - 2s 305us/step - loss: 0.0574 103 | Epoch 26/100 104 | 5508/5508 [==============================] - 2s 285us/step - loss: 0.0569 105 | Epoch 27/100 106 | 5508/5508 [==============================] - 2s 289us/step - loss: 0.0560 107 | Epoch 28/100 108 | 5508/5508 [==============================] - 2s 291us/step - loss: 0.0550 109 | Epoch 29/100 110 | 5508/5508 [==============================] - 2s 303us/step - loss: 0.0543 111 | Epoch 30/100 112 | 5508/5508 [==============================] - 2s 301us/step - loss: 0.0537 113 | Epoch 31/100 114 | 5508/5508 [==============================] - 2s 305us/step - loss: 0.0532 115 | Epoch 32/100 116 | 5508/5508 [==============================] - 1s 267us/step - loss: 0.0528 117 | Epoch 33/100 118 | 5508/5508 [==============================] - 2s 286us/step - loss: 0.0521 119 | Epoch 34/100 120 | 5508/5508 [==============================] - 2s 292us/step - loss: 0.0514 121 | Epoch 35/100 122 | 5508/5508 [==============================] - 2s 289us/step - loss: 0.0511 123 | Epoch 36/100 124 | 5508/5508 [==============================] - 2s 300us/step - loss: 0.0505 125 | Epoch 37/100 126 | 5508/5508 [==============================] - 2s 285us/step - loss: 0.0502 127 | Epoch 38/100 128 | 5508/5508 [==============================] - 2s 283us/step - loss: 0.0497 129 | Epoch 39/100 130 | 5508/5508 [==============================] - 1s 271us/step - loss: 0.0490 131 | Epoch 40/100 132 | 5508/5508 [==============================] - 2s 292us/step - loss: 0.0488 133 | Epoch 41/100 134 | 5508/5508 [==============================] - 2s 285us/step - loss: 0.0482 135 | Epoch 42/100 136 | 5508/5508 [==============================] - 2s 286us/step - loss: 0.0482 137 | Epoch 43/100 138 | 5508/5508 [==============================] - 2s 348us/step - loss: 0.0474 139 | Epoch 44/100 140 | 5508/5508 [==============================] - 2s 283us/step - loss: 0.0470 141 | Epoch 45/100 142 | 5508/5508 [==============================] - 2s 284us/step - loss: 0.0470 143 | Epoch 46/100 144 | 5508/5508 [==============================] - 2s 276us/step - loss: 0.0464 145 | Epoch 47/100 146 | 5508/5508 [==============================] - 2s 284us/step - loss: 0.0460 147 | Epoch 48/100 148 | 5508/5508 [==============================] - 2s 351us/step - loss: 0.0454 149 | Epoch 49/100 150 | 5508/5508 [==============================] - 2s 280us/step - loss: 0.0453 151 | Epoch 50/100 152 | 5508/5508 [==============================] - 2s 286us/step - loss: 0.0449 153 | Epoch 51/100 154 | 5508/5508 [==============================] - 2s 316us/step - loss: 0.0444 155 | Epoch 52/100 156 | 5508/5508 [==============================] - 2s 304us/step - loss: 0.0442 157 | Epoch 53/100 158 | 5508/5508 [==============================] - 2s 297us/step - loss: 0.0439 159 | Epoch 54/100 160 | 5508/5508 [==============================] - 2s 297us/step - loss: 0.0440 161 | Epoch 55/100 162 | 5508/5508 [==============================] - 2s 304us/step - loss: 0.0433 163 | Epoch 56/100 164 | 5508/5508 [==============================] - 2s 316us/step - loss: 0.0428 165 | Epoch 57/100 166 | 5508/5508 [==============================] - 2s 323us/step - loss: 0.0426 167 | Epoch 58/100 168 | 5508/5508 [==============================] - 2s 284us/step - loss: 0.0425 169 | Epoch 59/100 170 | 5508/5508 [==============================] - 2s 302us/step - loss: 0.0420 171 | Epoch 60/100 172 | 5508/5508 [==============================] - 2s 279us/step - loss: 0.0418 173 | Epoch 61/100 174 | 5508/5508 [==============================] - 2s 282us/step - loss: 0.0414 175 | Epoch 62/100 176 | 5508/5508 [==============================] - 2s 310us/step - loss: 0.0412 177 | Epoch 63/100 178 | 5508/5508 [==============================] - 1s 272us/step - loss: 0.0412 179 | Epoch 64/100 180 | 5508/5508 [==============================] - 1s 264us/step - loss: 0.0408 181 | Epoch 65/100 182 | 5508/5508 [==============================] - 2s 289us/step - loss: 0.0405 183 | Epoch 66/100 184 | 5508/5508 [==============================] - 2s 284us/step - loss: 0.0403 185 | Epoch 67/100 186 | 5508/5508 [==============================] - 2s 280us/step - loss: 0.0401 187 | Epoch 68/100 188 | 5508/5508 [==============================] - 2s 289us/step - loss: 0.0396 189 | Epoch 69/100 190 | 5508/5508 [==============================] - 2s 286us/step - loss: 0.0398 191 | Epoch 70/100 192 | 5508/5508 [==============================] - 2s 301us/step - loss: 0.0390 193 | Epoch 71/100 194 | 5508/5508 [==============================] - 2s 274us/step - loss: 0.0390 195 | Epoch 72/100 196 | 5508/5508 [==============================] - 2s 303us/step - loss: 0.0387 197 | Epoch 73/100 198 | 5508/5508 [==============================] - 2s 284us/step - loss: 0.0386 199 | Epoch 74/100 200 | 5508/5508 [==============================] - 2s 290us/step - loss: 0.0383 201 | Epoch 75/100 202 | 5508/5508 [==============================] - 2s 277us/step - loss: 0.0381 203 | Epoch 76/100 204 | 5508/5508 [==============================] - 2s 297us/step - loss: 0.0376 205 | Epoch 77/100 206 | 5508/5508 [==============================] - 1s 257us/step - loss: 0.0375 207 | Epoch 78/100 208 | 5508/5508 [==============================] - 1s 269us/step - loss: 0.0373 209 | Epoch 79/100 210 | 5508/5508 [==============================] - 1s 267us/step - loss: 0.0370 211 | Epoch 80/100 212 | 5508/5508 [==============================] - 1s 258us/step - loss: 0.0369 213 | Epoch 81/100 214 | 5508/5508 [==============================] - 2s 294us/step - loss: 0.0368 215 | Epoch 82/100 216 | 5508/5508 [==============================] - 2s 278us/step - loss: 0.0365 217 | Epoch 83/100 218 | 5508/5508 [==============================] - 2s 285us/step - loss: 0.0363 219 | Epoch 84/100 220 | 5508/5508 [==============================] - 2s 277us/step - loss: 0.0360 221 | Epoch 85/100 222 | 5508/5508 [==============================] - 2s 294us/step - loss: 0.0360 223 | Epoch 86/100 224 | 5508/5508 [==============================] - 2s 288us/step - loss: 0.0359 225 | Epoch 87/100 226 | 5508/5508 [==============================] - 2s 288us/step - loss: 0.0354 227 | Epoch 88/100 228 | 5508/5508 [==============================] - 2s 280us/step - loss: 0.0351 229 | Epoch 89/100 230 | 5508/5508 [==============================] - 2s 276us/step - loss: 0.0351 231 | Epoch 90/100 232 | 5508/5508 [==============================] - 1s 248us/step - loss: 0.0349 233 | Epoch 91/100 234 | 5508/5508 [==============================] - 2s 275us/step - loss: 0.0348 235 | Epoch 92/100 236 | 5508/5508 [==============================] - 2s 277us/step - loss: 0.0346 237 | Epoch 93/100 238 | 5508/5508 [==============================] - 2s 285us/step - loss: 0.0342 239 | Epoch 94/100 240 | 5508/5508 [==============================] - 2s 275us/step - loss: 0.0344 241 | Epoch 95/100 242 | 5508/5508 [==============================] - 1s 262us/step - loss: 0.0341 243 | Epoch 96/100 244 | 5508/5508 [==============================] - 1s 258us/step - loss: 0.0340 245 | Epoch 97/100 246 | 5508/5508 [==============================] - 2s 292us/step - loss: 0.0339 247 | Epoch 98/100 248 | 5508/5508 [==============================] - 2s 427us/step - loss: 0.0334 249 | Epoch 99/100 250 | 5508/5508 [==============================] - 2s 332us/step - loss: 0.0336 251 | Epoch 100/100 252 | 5508/5508 [==============================] - 1s 253us/step - loss: 0.0333 253 | ('hits@1:', 0.017482517482517484) 254 | ('hits@3:', 0.05944055944055944) 255 | ('hits@10:', 0.21678321678321677) 256 | (.env2) 11/8/18|3:27:30 ➜ KG2Vec git:(master) ✗ 257 | 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