Towards semantic-driven, flexible and scalable framework for peering and querying e-catalog communities

Given that e-catalogs are often autonomous and heterogeneous, effectively integrating and querying them is a delicate and time-consuming task. More importantly, the number of e-catalogs to be integrated and queried may be large and continuously changing. Conventional approaches where the development...

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Bibliographic Details
Published in:Information systems (Oxford) 2006-06, Vol.31 (4), p.266-294
Main Authors: Benatallah, Boualem, Hacid, Mohand-Said, Paik, Hye-young, Rey, Christophe, Toumani, Farouk
Format: Article
Language:English
Subjects:
Algorithms
Computer Science
Description logics
E-catalogs communities
Integrated systems
Online catalogues
P2P and networked data management
Peer review
Query formulation
Query rewriting
Semantic relations
Semantic Web
User friendly systems
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Summary:Given that e-catalogs are often autonomous and heterogeneous, effectively integrating and querying them is a delicate and time-consuming task. More importantly, the number of e-catalogs to be integrated and queried may be large and continuously changing. Conventional approaches where the development of an integrated e-catalog requires the understanding of each of the underlying catalog are inappropriate. In this paper, we use the concept of e-catalog communities and peer relationships among them to facilitate the querying of a potentially large number of dynamic e-catalogs. E-catalog communities are essentially containers of related e-catalogs. We propose a flexible and user-centric query matching algorithm that exploits both community descriptions and peer relationships to find e-catalogs that best match a user query. The user query is formulated using a description of a given community.
ISSN:0306-4379
1873-6076
DOI:10.1016/j.is.2005.02.009