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Towards Enriching DBpedia from Vertical Enumerative Structures Using a Distant Learning Approach

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Knowledge Engineering and Knowledge Management (EKAW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11313))

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Abstract

Automatic construction of semantic resources at large scale usually relies on general purpose corpora as Wikipedia. This resource, by nature rich in encyclopedic knowledge, exposes part of this knowledge with strongly structured elements (infoboxes, categories, etc.). Several extractors have targeted these structures in order to enrich or to populate semantic resources as DBpedia, YAGO or BabelNet. The remain semi-structured textual structures, such as vertical enumerative structures (those using typographic and dispositional layout) have been however under-exploited. However, frequent in corpora, they are rich sources of specific semantic relations, such as hypernyms. This paper presents a distant learning approach for extracting hypernym relations from vertical enumerative structures of Wikipedia, with the aim of enriching DBpedia. Our relation extraction approach achieves an overall precision of 62%, and 99% of the extracted relations can enrich DBpedia, with respect to a reference corpus.

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Notes

  1. 1.

    A hypernym relation link two entities \(E_1\) and \(E_2\) when \(E_2\) (hyponym) is subordinate to \(E_1\) (hypernym). From a lexical point of view, this relation is called “isa”.

  2. 2.

    http://www.irit.fr/Sempedia.

  3. 3.

    http://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style.

  4. 4.

    http://opennlp.apache.org/.

  5. 5.

    https://github.com/attardi/wikiextractor.

  6. 6.

    https://gate.ac.uk/sale/tao/splitch6.html#chap:annie.

  7. 7.

    https://www.DBpedia-spotlight.org/.

  8. 8.

    https://github.com/DBpedia-spotlight/spotlight-docker/tree/master/nightly-build/french.

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Authors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Mouna Kamel & Cassia Trojahn

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  1. Mouna Kamel
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  2. Cassia Trojahn
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Correspondence to Cassia Trojahn .

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Editors and Affiliations

  1. Université Côte d’Azur, CNRS, Inria, I3S, Sophia Antipolis, France

    Catherine Faron Zucker

  2. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

  3. University of Lorraine, CNRS, Inria, LORIA, Nancy, France

    Amedeo Napoli

  4. University of Lorraine, CNRS, Inria, LORIA, Nancy, France

    Yannick Toussaint

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Kamel, M., Trojahn, C. (2018). Towards Enriching DBpedia from Vertical Enumerative Structures Using a Distant Learning Approach. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds) Knowledge Engineering and Knowledge Management. EKAW 2018. Lecture Notes in Computer Science(), vol 11313. Springer, Cham. https://doi.org/10.1007/978-3-030-03667-6_12

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  • DOI: https://doi.org/10.1007/978-3-030-03667-6_12

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