Automatic extraction of is-a relations in taxonomy learning

Mahmood Neshati, Hassan Abolhassani, Hassan Fatemi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Taxonomy learning is a prerequisite step for ontology learning. In order to create a taxonomy, first of all, existing 'is-a' relations between words should be extracted. A known way to extract 'is-a' relations is finding lexicosyntactic patterns in large text corpus. Although this approach produces results with high precision but it suffers from low values of recall. Furthermore developing a comprehensive set of patterns is tedious and cumbersome. In this paper, firstly, we introduce an approach for developing lexico-syntactic patterns automatically using the snippets of search engine results and then, challenge the law recall of this approach using a combined model, which is based on cooccurrence of pair words in the web and neural network classifier. Using our approach both precision and recall of extracted 'is-a' relations improved and FMeasure value reaches 0.72.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Engineering - 13th International CSI Computer Conference, CSICC 2008, Revised Selected Papers
Pages17-24
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2008
Event13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008 - Kish Island, Iran, Islamic Republic of
Duration: 9 Mar 200811 Mar 2008

Publication series

NameCommunications in Computer and Information Science
Volume6 CCIS
ISSN (Print)1865-0929

Conference

Conference13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008
CountryIran, Islamic Republic of
CityKish Island
Period9/3/0811/3/08

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Keywords

  • Ontology Engineering
  • Semantic Web
  • Taxonomy Learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this

Neshati, M., Abolhassani, H., & Fatemi, H. (2008). Automatic extraction of is-a relations in taxonomy learning. In Advances in Computer Science and Engineering - 13th International CSI Computer Conference, CSICC 2008, Revised Selected Papers (pp. 17-24). (Communications in Computer and Information Science; Vol. 6 CCIS). https://doi.org/10.1007/978-3-540-89985-3_3