Basics of ontology modeling in FunGramKB. the case of burn

  1. Rosca, A. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    GRID grid.119021.a

Journal:
Vigo International Journal of Applied Linguistics

ISSN: 1697-0381

Year of publication: 2014

Volume: 11

Issue: 1

Pages: 169-184

Type: Article

Export: RIS
Institutional repository: lock_openOpen access editor

Metrics

Cited by

  • Scopus Cited by: 0 (30-11-2021)

JCR (Journal Impact Factor)

  • Year 2014
  • Journal Impact Factor: 0.091
  • Best Quartile: Q4
  • Area: LINGUISTICS Quartile: Q4 Rank in area: 154/172 (Ranking edition: SSCI)

SCImago Journal Rank

  • Year 2014
  • SJR Journal Impact: 0.345
  • Best Quartile: Q2
  • Area: Language and Linguistics Quartile: Q2 Rank in area: 173/737
  • Area: Linguistics and Language Quartile: Q2 Rank in area: 187/756

CIRC

  • Social Sciences: A
  • Human Sciences: A

CiteScore

  • Year 2014
  • CiteScore of the Journal : 1.3
  • Area: Linguistics and Language Percentile: 76
  • Area: Language and Linguistics Percentile: 76

Abstract

The aim of the present study is two-fold. Firstly, we discuss the advantages of a conceptual approach to meaning representation within the framework of a multipurpose Natural Language Processing (NLP) system known as FunGramKB (Periñán and Arcas, 2004, 2005, 2006; Periñán and Mairal, 2009ab, 2010, to name a few). FunGramKB solves some of the problems encountered in relational databases in that it provides morphosyntactic and pragmatic information about lexical units, it avoids language dependency by working with concepts and not words, and it minimizes redundancy by cognitive clustering. Secondly, we offer an outline of the ontological modeling of concepts related to the change-of-state verb burn. FunGramKB is aninvaluable knowledge base that can be later used for the development of numerousNLP applications, such as intelligent question-answer systems or cross-linguistic information retrieval applications.