Is it possible to enrich ontologies with a specialized domain linguistic resource?

María A. Barrios; Luis M. Vilches-Blázquez

Is it possible to enrich ontologies with a specialized domain linguistic resource?

María A. Barrios, Luis M. Vilches-Blázquez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Enriching ontologies with linguistic resources is considered one important target in natural language applications. These linguistic resources should contain not only linguistic but knowledge information. However the linguistic resources available, such as WordNet, are built around lexical relations such as synonymy, antonym, hyponymy, etc. and they do not provide information enough for ontology building. On the other hand, ontologies building claims more deep and accurate knowledge than general vocabulary contains and, consequently, demands specialized domain resources. This paper presents a linguistic resource developed for Spanish that has been built following some Meaning-Text Theory principles in order to contain as much as possible knowledge related to several specialized domains.

Original language	English
Title of host publication	TKE 2010
Subtitle of host publication	Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges
Pages	459-477
Number of pages	19
State	Published - 2010
Externally published	Yes
Event	Terminology and Knowledge Engineering Conference 2010, TKE 2010 - Dublin, Ireland Duration: 12 Aug 2010 → 13 Aug 2010

Publication series

Name	TKE 2010: Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges

Conference

Conference	Terminology and Knowledge Engineering Conference 2010, TKE 2010
Country/Territory	Ireland
City	Dublin
Period	12/08/10 → 13/08/10

Keywords

Linguistic resource
Meaning-text theory
Ontologies enrichment

Cite this

@inproceedings{1f7fff80abc44c17bcadf9fc6c36bc40,

title = "Is it possible to enrich ontologies with a specialized domain linguistic resource?",

abstract = "Enriching ontologies with linguistic resources is considered one important target in natural language applications. These linguistic resources should contain not only linguistic but knowledge information. However the linguistic resources available, such as WordNet, are built around lexical relations such as synonymy, antonym, hyponymy, etc. and they do not provide information enough for ontology building. On the other hand, ontologies building claims more deep and accurate knowledge than general vocabulary contains and, consequently, demands specialized domain resources. This paper presents a linguistic resource developed for Spanish that has been built following some Meaning-Text Theory principles in order to contain as much as possible knowledge related to several specialized domains.",

keywords = "Linguistic resource, Meaning-text theory, Ontologies enrichment",

author = "Barrios, {Mar{\'i}a A.} and Vilches-Bl{\'a}zquez, {Luis M.}",

year = "2010",

language = "Ingl{\'e}s",

isbn = "9780956631404",

series = "TKE 2010: Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges",

pages = "459--477",

booktitle = "TKE 2010",

note = "Terminology and Knowledge Engineering Conference 2010, TKE 2010 ; Conference date: 12-08-2010 Through 13-08-2010",

}

Barrios, MA & Vilches-Blázquez, LM 2010, Is it possible to enrich ontologies with a specialized domain linguistic resource? in TKE 2010: Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges. TKE 2010: Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges, pp. 459-477, Terminology and Knowledge Engineering Conference 2010, TKE 2010, Dublin, Ireland, 12/08/10.

Is it possible to enrich ontologies with a specialized domain linguistic resource? / Barrios, María A.; Vilches-Blázquez, Luis M.
TKE 2010: Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges. 2010. p. 459-477 (TKE 2010: Presenting Terminology and Knowledge Engineering Resources Online: Models and Challenges).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review