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Issue No.02 - February (2007 vol.19)
pp: 180-191
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.
INDEX TERMS
Interoperability, knowledge publishing, Web text analysis, ontology design.
CITATION
Paola Velardi, Alessandro Cucchiarelli, Micha? Petit, "A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community", IEEE Transactions on Knowledge & Data Engineering, vol.19, no. 2, pp. 180-191, February 2007, doi:10.1109/TKDE.2007.21
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