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DBpedia: A Multilingual Cross-domain Knowledge Base

Summary

Wikipedia holds a vast amount of world knowledge, but mostly as free text and inconsistently structured templates, which makes it hard to use directly in NLP. This LREC'12 paper presents DBpedia, which converts Wikipedia editions in 97 languages into one multilingual, cross-domain knowledge base. An open-source extraction framework gives every page a URI and stores infobox fields, categories, page links and other structured content as RDF triples. Volunteer communities then map differing infobox templates and attribute names, across languages, onto a single shared DBpedia Ontology. As a result, facts from different language editions can be merged, and smaller editions can be enriched from larger ones. Beyond the core resource, the authors describe auxiliary data sets built for computational linguistics: Lexicalization, Topic Signatures, Thematic (Topical) Concepts and Grammatical Gender. SPARQL examples show how these support entity linking, disambiguation, question answering (QALD-1), slot filling, relation extraction and query auto-suggestion. All data can be downloaded freely, and part of it can be queried online. This makes DBpedia a ready-made reference resource for language technology.

Key points

  • Titles and abstracts cover up to 97 languages, and infobox facts come from 15 editions. Mapping communities existed for 23 languages as of March 2012, and English, Greek, Polish, Portuguese and Spanish had mapped templates covering about 80% of template usage.
  • The DBpedia Ontology has 320 classes and 1,650 properties. It describes 3.64M things, of which 1.83M are classified, including 416,000 persons and 526,000 places.
  • The Lexicalization Data Set draws on titles, redirects, disambiguation pages and link anchor texts. It holds 6.6M scores, given as p(uri|sf), p(sf|uri), PMI and p(uri), and it feeds DBpedia Spotlight.
  • Lexicalization statistics:
    • Roughly 4.4M surface forms point to only one resource, while 392,000 can refer to more than one.
    • Average ambiguity is 1.22 overall and 2.52 among ambiguous forms.
    • Each resource has about 2.32 alternative names on average.
  • The Grammatical Gender data set assigns gender by counting English pronouns, requiring a 200% frequency margin. Setting the minimum pronoun count to 5, 4 or 3 covers 68%, 75% or 81% of persons, and roughly 85% of assigned persons are labelled male.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Fields: AI & machine learning

Topics Multilingual & cross-lingual NLP Knowledge graphs & ontologies

 Institutions

🎓Freie Universität BerlinBerlin · Germany8 works · 273 citations

Cite

Cite as Pablo Mendes, Max Jakob and Christian Bizer. 2012. DBpedia: A Multilingual Cross-domain Knowledge Base. Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12).

The paper itself, not this page. BibTeX from the library's record of the work.

@inproceedings{mendes2012dbpedia,
  title = {{DBpedia: A Multilingual Cross-domain Knowledge Base}},
  author = {Pablo Mendes, Max Jakob and Christian Bizer},
  booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  doi = {10.63317/4b94v6njihis},
  url = {https://doi.org/10.63317/4b94v6njihis}
}

References

22 references, 2 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, and Sebastian Hellmann. 2009. DBpedia - A crystallization point for the Web of Data. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, (7):154– 165. find
  2. Christiane Fellbaum, editor. 1998. WordNet An Electronic Lexical Database. The MIT Press, Cambridge, MA ; London, May. find
  3. Paolo Ferragina and Ugo Scaiella. 2010. Tagme: on-the-fly annotation of short text fragments (by wikipedia entities). In Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM ’10, pages 1625–1628, New York, NY, USA. ACM. our card
  4. Andrés García-Silva, Max Jakob, Pablo N. Mendes, and Christian Bizer. 2011. Multipedia: enriching DBpedia with multimedia information. In Proceedings of the sixth international conference on Knowledge capture, K-CAP ’11, pages 137–144, New York, NY, USA. ACM. find
  5. Claudio Giuliano, Alfio Massimiliano Gliozzo, and Carlo Strapparava. 2009. Kernel methods for minimally supervised wsd. Comput. Linguist., 35:513–528, December. find
  6. Xianpei Han and Le Sun. 2011. A generative entity-mention model for linking entities with knowledge base. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 945–954, Portland, Oregon, USA, June. Association for Computational… find
  7. Zellig Harris. 1954. Distributional structure. Word, 10(23):146–162. http://dbpedia.org/downloads http://dbpedia.org/sparql ↗
  8. Heng Ji, Ralph Grishman, and Hoa Dang. 2011. Overview of the TAC2011 Knowledge Base Population Track. In Proceedings of the Text Analysis Conference (TAC 2011). find
  9. Douglas Lenat. 1995. Cyc: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33–38, November. find
  10. Chin-Yew Lin and Eduard H. Hovy. 2000. The automated acquisition of topic signatures for text summarization. In COLING, pages 495–501. our card
  11. Zemanta Ltd. 2009. Zemanta api overview. http://www.zemanta.com/api/. ↗
  12. Paul McNamee, Hoa Trang Dang, Heather Simpson, Patrick Schone, and Stephanie Strassel. 2010. An evaluation of technologies for knowledge base population. In LREC. find
  13. Pablo N. Mendes, Joachim Daiber, Max Jakob, and Christian Bizer. 2011a. Evaluating dbpedia spotlight for the tac-kbp entity linking task. In Proceedings of the TAC-KBP 2011 Workshop. find
  14. Pablo N. Mendes, Max Jakob, Andrés García-Silva, and Christian Bizer. 2011b. DBpedia Spotlight: Shedding Light on the Web of Documents. In Proceedings of the 7th International Conference on Semantic Systems (I-Semantics). find
  15. Vivi Nastase. 2008. Topic-driven multi-document summarization with encyclopedic knowledge and spreading activation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP ’08, pages 763–772, Stroudsburg, PA, USA. Association for Computational Linguistics. find
  16. Christopher Olston, Benjamin Reed, Utkarsh Srivastava, Ravi Kumar, and Andrew Tomkins. 2008. Pig latin: a not-so-foreign language for data processing. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data, SIGMOD ’08, pages 1099–1110, New York, NY, USA. ACM. find
  17. Orchestr8 LLC. 2009. AlchemyAPI. http://www.alchemyapi.com/, retrieved on 11.12.2010. 2011. Proceedings of 1st Workshop on Question Answering over Linked Data (QALD-1), collocated with the 8th Extended Semantic Web Conference (ESWC 2011), Heraklion, Greece, 6. ↗
  18. Lev-Arie Ratinov, Dan Roth, Doug Downey, and Mike Anderson. 2011. Local and global algorithms for disambiguation to wikipedia. In ACL, pages 1375–1384. find
  19. Thomson Reuters. 2008. OpenCalais: Connect. Everything. http://www.opencalais.com/about, retrieved on 11.12.2010. ↗
  20. G. Salton, A. Wong, and C. S. Yang. 1975. A vector space model for automatic indexing. Communications of the ACM, 18:613–620, November. find
  21. Evan Sandhaus. 2008. The New York Times Annotated Corpus. find
  22. Eugenio Tacchini, Andreas Schultz, and Christian Bizer. 2009. Experiments with wikipedia cross-language data fusion. volume 449 of CEUR Workshop Proceedings ISSN 1613-0073, June. find

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