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
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.;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
DOI :
10.1109/TKDE.2007.21