Show simple item record

dc.contributor.authorWu, Chen
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.contributor.editorPaul Hofmann
dc.date.accessioned2017-01-30T11:55:04Z
dc.date.available2017-01-30T11:55:04Z
dc.date.created2010-03-02T20:02:04Z
dc.date.issued2009
dc.identifier.citationWu, Chen and Dillon, Tharam and Chang, Elizabeth. 2009. Intelligent matching for public internet web services - towards semi-automatic internet services mashup, in Paul Hofmann (ed), IEEE International Conference on Web Services (ICWS 2009), Jul 6 2009, pp. 759-766.Los Angeles, USA: IEEE
dc.identifier.urihttp://hdl.handle.net/20.500.11937/16315
dc.description.abstract

In this paper, we propose an Internet public Web service matching approach that paves the way for(semi-)automatic service mashup. We will first provide the overview of the solution, which requires a detailed review of two fundamental models ? schema/graph matching and semantic space. Based on the conceptual model and the literature study, the complete service matching approach is then provided with four essential steps ? semantic space, parameter tree, similarity measures, and WSDL operation matching. The system demonstration that proves the concept proposed in this approach is finally presented. The solution has the potential to facilitate the Internet services mashup.

dc.publisherIEEE
dc.relation.urihttp://doi.ieeecomputersociety.org/10.1109/ICWS.2009.116
dc.titleIntelligent matching for public internet web services ? towards semi-automatic internet services mashup
dc.typeConference Paper
dcterms.source.startPage759
dcterms.source.endPage766
dcterms.source.titleProceedings of the IEEE international conference on web services (ICWS 2009)
dcterms.source.seriesProceedings of the IEEE international conference on web services (ICWS 2009)
dcterms.source.isbn9780769537092
dcterms.source.conferenceIEEE International Conference on Web Services (ICWS 2009)
dcterms.source.conference-start-dateJul 6 2009
dcterms.source.conferencelocationLos Angeles, USA
dcterms.source.placeUSA
curtin.note

Copyright © 2009 IEEE 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.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record