Detecting ontology change from application data flows

Paolo Ceravolo, Ernesto Damiani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 [15]. The resulting bottom-up ontology may be used to check and/or update existing domain ontologies used by the e-business infrastructure.

Original languageBritish English
Title of host publicationOn the Move to Meaningful Internet Systems 2005
Subtitle of host publicationOTM Workshops - OTM Confederated Int. Workshops and Posters, AWeSOMe, CAMS, GADA, MIOS+INTEROP, ORM, PhDS, SeBGIS, SWWS, and WOSE 2005, Proceedings
Pages987-996
Number of pages10
DOIs
StatePublished - 2005
EventOTM Confederated Internationl Workshops and Posters, AWeSOMe, CAMS, GADA, MIOS+INTEROP, ORM, PhDS, SeBGIS, SWWS, and WOSE 2005 - Agia Napa, Cyprus
Duration: 31 Oct 20054 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3762 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceOTM Confederated Internationl Workshops and Posters, AWeSOMe, CAMS, GADA, MIOS+INTEROP, ORM, PhDS, SeBGIS, SWWS, and WOSE 2005
Country/TerritoryCyprus
CityAgia Napa
Period31/10/054/11/05

Keywords

  • Knowledge Representation
  • Ontology Construction

Fingerprint

Dive into the research topics of 'Detecting ontology change from application data flows'. Together they form a unique fingerprint.

Cite this