Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Joint Embedding Method for Entity Alignment of Knowledge Bases Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Large Scale Semantic Relation Discovery: Toward Establishing the Missing Link Between Wikipedia and Semantic Network

Authors : Xianpei Han, Xiliang Song, Le Sun

Published in: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wikipedia has been the largest knowledge repository on the Web. However, most of the semantic knowledge in Wikipedia is documented in natural language, which is mostly only human readable and incomprehensible for computer processing. To establish the missing link from Wikipedia to semantic network, this paper proposes a relation discovery method, which can: (1) discover and characterize a large collection of relations from Wikipedia by exploiting the relation pattern regularity, the relation distribution regularity and the relation instance redundancy; and (2) annotate the hyperlinks between Wikipedia articles with the discovered semantic relations. Finally we discover 14,299 relations, 105,661 relation patterns and 5,214,175 relation instances from Wikipedia, and this will be a valuable resource for many NLP and AI tasks.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Boosting to Build a Large-Scale Cross-Lingual Ontology
next chapter Biomedical Event Trigger Detection Based on Hybrid Methods Integrating Word Embeddings
Footnotes
Literature
Agichtein, E., Gravano, L.: Snowball: extracting relations from large plain-text collections. In: Proceedings of the Fifth ACM Conference on Digital Libraries, pp. 85–94. ACM, New York (2000)
Amigo, E., Gonzalo, J., Artiles, J., Verdejo, F.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. Ident. Common Mol. Subsequences 12, 461–486 (2009)
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC/ISWC -2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007). doi:10.​1007/​978-3-540-76298-0_​52 CrossRef
Baker, C.F., Charles, J.F., John, B.L.: The Berkeley framenet project. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, pp. 86–90. Association for Computational Linguistics, Stroudsburg (1998)
Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction from the web. In: IJCAI, vol. 7, pp. 2670–2676 (2007)
Bunescu, R., Mooney, R.: A shortest path dependency kernel for relation extraction. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 724–731. Association for Computational Linguistics, Stroudsburg (2005)
Brin, S.: Extracting patterns and relations from the world wide web. In: International Workshop on the World Wide Web and Databases, pp. 172–183 (1999)
Carlson, A., Betteridge, J., et al.: Toward an architecture for never-ending language learning. In: Proceedings of the Conference on Artificial Intelligence (AAAI 2010), p. 3. AAAI Press, Palo Alto (2010)
Chan, Y.S., Roth, D.: Exploiting syntactico-semantic structures for relation extraction. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 551–560 (2011)
Chen, H., Benson, E., et al.: In-domain relation discovery with meta-constraints via posterior regularization. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 530–540. Association for Computational Linguistics, Stroudsburg (2011)
De Marneffe, M.C., Manning, C.D.: Stanford typed dependencies manual. Technical report, Stanford University, pp. 338–345 (2008)
Doddington, G., et al.: The automatic content extraction (ACE) program–tasks, data, and evaluation. In: Proceedings of LREC (2004)
Etzioni, O., Banko, M., et al.: Open information extraction from the web. Commun. ACM 51, 68–74 (2008)CrossRef
Etzioni, O., et al.: Web-scale information extraction in knowitall: (preliminary results). In: Proceedings of the 13th International Conference on World Wide Web, pp. 100–110. ACM, New York (2004)
Grishman, R., Sundheim, B.: Message understanding conference-6: a brief history. In: Proceedings of the 16th International Conference on Computational Linguistics, pp. 466–471 (1996)
Han, X., Sun, L.: An entity-topic model for entity linking. In: Proceedings of EMNLP-CoNLL, pp. 105–115. Association for Computational Linguistics, Stroudsburg (2012)
Li, P., Jiang, J., et al.: Generating templates of entity summaries with an entity-aspect model and pattern mining. In: Proceedings of ACL, pp. 640–649. Association for Computational Linguistics, Stroudsburg (2010)
Matuszek, C., Cabral, J., Witbrock, M., DeOliveira, J.: An introduction to the syntax and content of Cyc. In: Proceedings of the 2006 AAAI Spring Symposium on Formalizing and Compiling Background Knowledge and its Applications to Knowledge Representation and Question Answering, pp. 44–49. AAAI Press, Palo Alto (2006)
Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38, 39–41 (1995)CrossRef
Mintz, M., Bills, S., Snow, R., Jurafsky D.: Distant supervision for relation extraction without labeled data. In: Proceedings ACL-IJCNLP, pp. 1003—1011. Association for Computational Linguistics, Stroudsburg (2009)
Mohamed, T.P., Hruschka, J.E.R., et al.: Discovering relations between noun categories. In: Proceedings of EMNLP, pp. 1447–1455. Association for Computational Linguistics, Stroudsburg (2011)
Nakashole, N., Weikum, G., Suchanek, F.: PATTY: a taxonomy of relational patterns with semantic types. In: Proceedings of EMNLP, pp. 1135–1145 (2012)
Ponzetto, S.P., Navigli, R.: Large-scale taxonomy mapping for restructuring and integrating Wikipedia. In: Proceedings of the 21th IJCAI, pp. 2083–2088. AAAI Press, Palo Alto (2009)
Suchanek, F.M., Kasneci, G., et al.: Yago: a large ontology from wikipedia and wordnet. Web Semant.: Sci. Serv. Agents World Wide Web 6, 203–217 (2008)CrossRef
Wang, C., Kalyanpur, A., et al.: Relation extraction and scoring in DeepQA. IBM J. Res. Dev. 56, 9:1–9:12 (2012)CrossRef
Wu, F., Weld, D.S.: Autonomously semantifying wikipedia. In: Proceedings of CIKM, pp. 41–50. ACM, New York (2007)
Yates, A., et al.: TextRunner: open information extraction on the web. In: Proceedings of HLT-NAACL, pp. 25–26. Association for Computational Linguistics, Stroudsburg (2007)
Metadata
Title
Large Scale Semantic Relation Discovery: Toward Establishing the Missing Link Between Wikipedia and Semantic Network
Authors
Xianpei Han
Xiliang Song
Le Sun
Copyright Year
2016
Publisher
Springer Singapore
Book
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

Print ISBN: 978-981-10-3167-0

Electronic ISBN: 978-981-10-3168-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-3168-7_6

Premium Partner

    Image Credits