A model-driven approach for designing distributed web information systems

R. Vdovják, G.J.P.M. Houben

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

4 Citations (Scopus)

Abstract

There is an apparent need for specifying the integration of multiple knowledge sources during the design of Web Information Systems (WIS) where the actual data is often retrieved from several content providers. Despite that, there exists very little work on integration within the context of WIS engineering and the related design methodologies in particular. We argue that this new context brings several additional requirements which must be dealt with in order to be able to successfully deploy distributed WIS. In this paper we elaborate a model that covers the integration phase of the WIS design trajectory. We centered our approach around the emerging data standard on the Semantic Web – RDF. The proposed integration model is able to reconcile many semantic heterogeneities that frequently occur among disparate RDF sources. We also address the issues of distributed RDF query processing and optimization, and test the performance of our framework.
Original languageEnglish
Title of host publicationWeb Engineering
Subtitle of host publication5th International Conference, ICWE 2005, Sydney, Australia, July 27-29, 2005. Proceedings
EditorsD. Lowe, M. Gaedke
Place of PublicationBerlin
PublisherSpringer
Chapter58
Pages453-464
Number of pages12
ISBN (Electronic)978-3-540-31484-4
ISBN (Print)3-540-27996-2, 978-3-540-27996-9
DOIs
Publication statusPublished - 2005

Publication series

NameLecture Notes in Computer Science (LNCS)
Volume3579
ISSN (Print)0302-9743

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    Vdovják, R., & Houben, G. J. P. M. (2005). A model-driven approach for designing distributed web information systems. In D. Lowe, & M. Gaedke (Eds.), Web Engineering: 5th International Conference, ICWE 2005, Sydney, Australia, July 27-29, 2005. Proceedings (pp. 453-464). (Lecture Notes in Computer Science (LNCS); Vol. 3579). Springer. https://doi.org/10.1007/11531371_58