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.
A Taxonomy learning Method and its Application to Characterize a Scientific Web Community / Velardi, Paola; Alessandro, Cucchiarelli; Michael, Petit. - In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. - ISSN 1041-4347. - 19:(2007), pp. 1-16. [10.1109/TKDE.2007.21]
A Taxonomy learning Method and its Application to Characterize a Scientific Web Community
VELARDI, Paola;
2007
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
