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Encyclopedia of Machine Learning and Data Mining pp 1132–1137Cite as

Semantic Annotation of Text Using Open Semantic Resources

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Abstract

In this article, we present the topic of semantic annotation of text using open semantic resources. We present an introduction to the concept and its history, provide basic notions around semantic annotations and open semantic resources, in particular illustrating commonly used open semantic resources repositories such as Wikipedia, Wordnet, or DBPedia. Further, we discuss the issues around creating open semantic resources, both from the annotation perspective, and from the format perspective. Finally, we introduce two well-known semantic annotation tasks, entity linking (or named entity disambiguation), and semantic parsing, with corresponding sample implementations, explaining in particular how they work and how make use of open semantic resources.

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Notes

  1. 1.

    • Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen F”urstenau Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, and Gerhard Weikum. Robust Disambiguation of Named Entities in Text. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011, Edinburgh, Scotland, pages 782–792, 2011.

    • David Milne and Ian H. Witten. Learning to link with wikipedia. In Proceedings of the 17th ACM Conference on Information and Knowledge Management, pages 509–518. ACM, 2008.

    • Roberto Navigli. Word sense disambiguation: A survey. ACM Comput. Surv., 41(2):10:1–10:69, February 2009.

    • Luke S Zettlemoyer and Michael Collins. Learning context-dependent mappings from sentences to logical form. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2, pages 976–984. Association for Computational Linguistics, 2009.

Recommended Reading

  • Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen F”urstenau Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, and Gerhard Weikum. Robust Disambiguation of Named Entities in Text. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP 2011, Edinburgh, Scotland, pages 782–792, 2011.

  • David Milne and Ian H. Witten. Learning to link with wikipedia. In Proceedings of the 17th ACM Conference on Information and Knowledge Management, pages 509–518. ACM, 2008.

  • Roberto Navigli. Word sense disambiguation: A survey. ACM Comput. Surv., 41(2):10:1–10:69, February 2009.

  • Luke S Zettlemoyer and Michael Collins. Learning context-dependent mappings from sentences to logical form. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2, pages 976–984. Association for Computational Linguistics, 2009.

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Author information

Authors and Affiliations

  1. Jožef Stefan Insitute, Ljubljana, Slovenia

    Stefano Pacifico, Janez Starc, Janez Brank & Luka Bradesko

  2. Artificial Intelligence Laboratory, Jožef Stefan Insitute, Ljubljana, Slovenia

    Marko Grobelnik

Authors
  1. Stefano Pacifico
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  2. Janez Starc
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  3. Janez Brank
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  4. Luka Bradesko
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  5. Marko Grobelnik
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Corresponding author

Correspondence to Stefano Pacifico .

Editor information

Editors and Affiliations

  1. The University of New South Wales, Sydney, NSW, Australia

    Claude Sammut

  2. Faculty of Information Technology, Monash University, Melbourne, VIC, Australia

    Geoffrey I. Webb

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Pacifico, S., Starc, J., Brank, J., Bradesko, L., Grobelnik, M. (2017). Semantic Annotation of Text Using Open Semantic Resources. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_903

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