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dc.contributor.authorHadzic, Fedja
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.date.accessioned2017-01-30T11:31:05Z
dc.date.available2017-01-30T11:31:05Z
dc.date.created2008-11-12T23:32:49Z
dc.date.issued2007
dc.identifier.citationHadzic, Fedja and Dillon, Tharam and Chang, Elizabeth. 2007. : Tree mining application to matching of hetereogeneous knowledge, 2007 IEEE International Conference on Granular Computing (GcC2007), 02 Nov 2007, pp. 351-357. Silicon Valley, USA: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/12500
dc.identifier.doi10.1109/GRC.2007.158
dc.description.abstract

Matching of heterogeneous knowledge sources is of increasing importance in areas such as scientific knowledge management, e-commerce, enterprise application integration, and many emerging Semantic Web applications. With the desire of knowledge sharing and reuse in these fields, it is common that the knowledge coming from different organizations from the same domain is to be matched. We propose a knowledge matching method based on our previously developed tree mining algorithms for extracting frequently occurring subtrees from a tree structured database such as XML. Using the method the common structure among the different representations can be automatically extracted. Our focus is on knowledge matching at the structural level and we use a set of example XML schema documents from the same domain to evaluate the method. We discuss some important issues that arise when applying tree mining algorithms for detection of common document structures. The experiments demonstrate the usefulness of the approach.

dc.publisherIEEE Computer Society
dc.relation.urihttp://doi.ieeecomputersociety.org/10.1109/GRC.2007.158
dc.titleTree mining application to matching of hetereogeneous knowledge
dc.typeConference Paper
dcterms.source.startPage351
dcterms.source.endPage357
dcterms.source.titleProceedings of 2007 IEEE international conference on granular computing (GcC2007)
dcterms.source.conference2007 IEEE International Conference on Granular Computing (GcC2007)
dcterms.source.conference-start-date02 Nov 2007
dcterms.source.conferencelocationSilicon Valley, USA
dcterms.source.placeSan Jose, California
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Copyright 2007 IEEE

curtin.note

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-2595
curtin.accessStatusOpen access
curtin.facultyCurtin Business School


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