In this paper we describe a clustering process selecting a set of typical instances from a document flow. These representatives are viewed as semi-structured descriptions of domain categories expressed in a standard semantic web format, such as OWL. The resulting bottom-up ontology may be used to check and/or update existing domain ontologies used by the e-business infrastructure.
Detecting ontology change from application data flows / P. Ceravolo, E. Damiani - In: On the move to meaningful Internet systems 2005: OTM Workshops : OTM Confederated Internationl Workshops and Posters, AWeSOMe, CAMS, GADA, MIOS+INTEROP, ORM, PhDS, SeBGIS, SWWS, and WOSE 2005, Agia Napa, Cyprus, October 31 - November 4, 2005 : proceedings / Robert Meersman, Zahir Tari, Pilar Herrero. - Berlin : Springer, 2005. - ISBN 3540297391. - pp. 987-996 (( convegno OTM Workshops 2005 tenutosi a Agia Napa, Cyprus nel 2005.
Detecting ontology change from application data flows
P. Ceravolo;E. Damiani
2005
Abstract
In this paper we describe a clustering process selecting a set of typical instances from a document flow. These representatives are viewed as semi-structured descriptions of domain categories expressed in a standard semantic web format, such as OWL. The resulting bottom-up ontology may be used to check and/or update existing domain ontologies used by the e-business infrastructure.
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