Inproceedings1243
Knowledge Elicitation Plug-in for Protege: Card Sorting and Laddering
Knowledge Elicitation Plug-in for Protege: Card Sorting and Laddering
Published: 2006
September
Herausgeber: R. Mizoguchi, Z. Shi, and F. Giunchiglia
Buchtitel: Asian Semantic Web Conference (ASWC'06)
Ausgabe: 4185
Nummer: LNCS 4185Der Datenwert „LNCS“ kann einem Attribut des Datentyps Zahl nicht zugeordnet werden sondern bspw. der Datenwert „4185“.
Reihe: LNCS
Seiten: 552-565
Verlag: Springer-Verlag Berlin Heidelberg
Erscheinungsort: Beijing, China
Referierte Veröffentlichung
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Kurzfassung
Ontologies have been widely accepted as the primary method of
representing knowledge in the Semantic Web. Knowledge Elicitation (KE)
is usually one of the first steps in building ontologies. A number
of ontology editors such as Protege have been developed to
assist users in building ontologies efficiently. However,
traditional KE techniques, such as card sorting
and laddering, are not yet supported, but performed manually and
outside of such tools. In this paper we present a methodology and
a corresponding plug-in for Protege that allows
graphical ellicitation knowledge from documents using card sorting
and laddering approaches. Our aim is to seamlessly integrate the
KE techniques into the ontology building
process to make ontology building more efficient and less
error-prone. As a side-effect the persistent storage of card
sorting and laddering results allows for later traceability of ontology development.
KE largely depends on user interaction with the
plug-in, therefore we employed user-centred design principles to
capture requirements. After implementation, the plug-in was
evaluated thoroughly against the requirements. The evaluation
shows that this KE plug-in meets many of the
user's expectations and indeed saves them considerable time when
building ontologies.
ISBN: 3-540-38329-8
Download: Media:2006_1243_Wang_Knowledge_Elici_1.pdf
Ontologiemodellierung, Semantic Web, Web Science