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lemon-tree: Representing Topical Thesauri on the Semantic Web

Author Sander Stolk

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Author Details

Sander Stolk
  • Leiden University, Leiden, The Netherlands

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Sander Stolk. lemon-tree: Representing Topical Thesauri on the Semantic Web. In 2nd Conference on Language, Data and Knowledge (LDK 2019). Open Access Series in Informatics (OASIcs), Volume 70, pp. 16:1-16:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/OASIcs.LDK.2019.16

Abstract

An increasing number of dictionaries are represented on the Web in the form of linguistic linked data using the lemon vocabulary. Such a representation facilitates interoperability across linguistic resources, has the potential to increase their visibility, and promotes their reuse. Lexicographic resources other than dictionaries have thus far not been the main focus of efforts surrounding lemon and its modules. In this paper, fundamental needs are analysed for representing topical thesauri specifically and a solution is provided for two important areas hitherto problematic: (1) levels that can be distinguished in their topical system and (2) a looser form of categorization than lexicalization. The novel lemon-tree model contains terminology to overcome these issues and acts as bridge between existing Web standards in order to bring topical thesauri, too, to the Semantic Web.

Subject Classification

ACM Subject Classification
  • Information systems → Semantic web description languages
  • Information systems → Thesauri
Keywords
  • lemon-tree
  • lemon
  • OntoLex
  • SKOS
  • thesaurus
  • topical thesaurus
  • onomasiological ordering
  • linked data

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