Paper Info
Title
A Taxonomy Construction Approach Supported by Web Content.
Abstract
The growth of unstructured information available inside organizations and on the Web has motivated the building of structures for represent and manipulate such information. Particularly, an ontology provide a structural organizational knowledge to support the exchange and sharing. A crucial element within an ontology is the taxonomy. For building a taxonomy, the identification of hypernymy/hyponymy relations between terms is essential. Lexical patterns have been used in analysis of text for recovering hypernyms. In addition, the Web has been used as source of collective knowledge and it seems a good option for finding appropriate hypernyms. This paper describes an approach to get hypernymy relations between terms belonging to a specific domain knowledge. This approach combines Word Net synsets and context information for building an extended query set. This query set is sent to a web search engine in order to retrieve the most representative hypernym for a term.
Year
DOI
Venue
2012
10.1007/978-3-642-28765-7_55
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Knowledge representation,knowledge management,search heuristics
Web search engine,Ontology,Data mining,World Wide Web,Knowledge representation and reasoning,Information retrieval,Domain knowledge,Computer science,Web standards,Web modeling,WordNet,Web content
Conference
Volume
ISSN
Citations 
151
1867-5662
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Ana B. Rios-Alvarado1286.51
Ivan López-arévalo22914.56
Victor Sosa-sosa35013.57