Paper Info
Title
Query processing in a three-level ontology-based data integration system
Abstract
In this paper, we present a three-level ontology-based framework for effectively designing GAV data integration systems. In our approach, the mediated schema is represented by a domain ontology, which provides a conceptual representation of the application. Each local source is described by an application ontology, whose vocabulary is restricted to be a subset of the vocabulary of domain ontology. The three-level architecture permits dividing the mapping definition in two stages: local mappings and mediated mappings. Due to this architecture the problem of query answering can also be broken into two steps. First, the query is decomposed, using the mediated mappings, into a set of elementary sub-queries expressed in terms of the application ontologies. Then, these sub-queries are rewritten, using the local mappings, in terms of their local sources schemas. This paper focus on a method for query processing that addresses the problem of efficient query answering. Our approach is illustrated by an example of a virtual store mediating access to online booksellers.
Year
DOI
Venue
2010
10.1145/1967486.1967532
iiWAS
Keywords
Field
DocType
domain ontology,local mapping,application ontology,three-level ontology-based data integration,local source,mediated schema,efficient query answering,mediated mapping,query processing,query answering,local sources schema,semantic web,data integration,rdf,data integrity,sparql,ontologies
Query optimization,Ontology (information science),Data mining,Ontology-based data integration,Process ontology,Query expansion,Information retrieval,Computer science,Web query classification,Suggested Upper Merged Ontology,Upper ontology,Database
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
6
Name
Order
Citations
PageRank
João C. Pinheiro180.87
Vânia M. P. Vidal2111.90
José Antônio Fernandes de Macêdo346551.40
Eveline R. Sacramento4122.78
Marco A. Casanova51007979.09
Fábio A. M. Porto600.34