Visual support for ontology learning: an experience report

Sabou, Marta (2005). Visual support for ontology learning: an experience report. In: The 9th International Conference on Information Visualisation (IV05), 6-8 Jul 2005, London, UK.

Full text available as:

Preview

PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (296kB)

Google Scholar:	Look up in Google Scholar

Abstract

Ontology learning methods aim to automate ontology
construction. They are complex methods involving several
elements such as documents, terms and concepts. During the development of an ontology learning method, as well as during its deployment, several situations occur where
understanding the relations between these elements is crucial. Our hypothesis is that visual techniques can be used to aid this understanding. To support this claim, we present a set of such complex situations and describe the visual solutions that we developed to support them.

Item Type:	Conference or Workshop Item
Keywords:	Semantic Web, Ontology Learning, Visualisation, Cluster Map
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID:	3026
Depositing User:	Users 12 not found.
Date Deposited:	23 Jun 2006
Last Modified:	15 May 2018 14:58
URI:	http://oro.open.ac.uk/id/eprint/3026
Share this page:

Actions (login may be required)

RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationRefMan RIS Format (UTF-8)OpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLRefMan RIS FormatRDF+N3