Authors:
Deise de Brum Saccol
;
Rodrigo Perozzo Noll
;
Nina Edelweiss
and
Renata de Matos Galante
Affiliation:
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Brazil
Keyword(s):
Ontology, peer-to-peer, schema matching, similarity.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Object-Oriented Database Systems
Abstract:
In peer-to-peer (P2P) systems, files from the same application domain are spread over the network. When the user poses a query, the processing relies mainly on the flooding technique, which is quite inefficient for optimization purposes. To solve this issue, our work proposes to cluster documents from the same application domain into super peers. Thus, files related to the same universe of discourse are grouped and the query processing is restricted to a subset of the network. The clustering task involves: ontology generation, document and ontology matching, and metadata management. In this paper, we focus on the matching step.