Linguistic patterns for information extraction in OntoCmaps

Amal Zouaq, Dragan Gasevic, Marek Hatala

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

12 Citations (Scopus)

Abstract

Linguistic patterns have proven their importance for the knowledge engineering field especially with the ever-increasing amount of available data. This is especially true for the Semantic Web, which relies on a formalization of knowledge into triples and linked data. This paper presents a number of syntactic patterns, based on dependency grammars, which output triples useful for the ontology learning task. Our experimental results show that these patterns are a good starting base for text mining initiatives in general and ontology learning in particular.

Original languageEnglish
Title of host publicationProceedings of the 3rd Canadian Semantic Web Symposium
Pages61-72
Number of pages12
Volume929
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event3rd Workshop on Ontology Patterns, WOP 2012 - In Conjunction with the 11th International Semantic Web Conference 2012, ISWC 2012 - Boston, MA, United States of America
Duration: 12 Nov 201212 Nov 2012

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V
ISSN (Print)1613-0073

Conference

Conference3rd Workshop on Ontology Patterns, WOP 2012 - In Conjunction with the 11th International Semantic Web Conference 2012, ISWC 2012
CountryUnited States of America
CityBoston, MA
Period12/11/1212/11/12

Keywords

  • Dependency grammars
  • Knowledge extraction
  • Linguistic patterns
  • Ontology learning
  • Triples

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