DocumentCode
892735
Title
A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community
Author
Velardi, Paola ; Cucchiarelli, Alessandro ; Petit, Michaël
Author_Institution
Dept. of Comput. Sci., Univ. of Roma La Sapienza
Volume
19
Issue
2
fYear
2007
Firstpage
180
Lastpage
191
Abstract
The need to extract and manage domain-specific taxonomies has become increasingly relevant in recent years. A taxonomy is a form of business intelligence used to integrate information, reduce semantic heterogeneity, describe emergent communities and interest groups, and facilitate communication between information systems. We present a semiautomated strategy to extract domain-specific taxonomies from Web documents and its application to model a network of excellence in the emerging research field of enterprise interoperability
Keywords
Internet; information systems; knowledge acquisition; open systems; Web document; business intelligence; domain-specific taxonomy extraction; enterprise interoperability; information system; scientific Web community; taxonomy learning; Collaboration; Computer science; Data mining; Educational institutions; Indexing; Knowledge management; Learning systems; Ontologies; Taxonomy; Text analysis; Interoperability; Web text analysis; knowledge publishing; ontology design.;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/TKDE.2007.21
Filename
4039282
Link To Document