Authors:
Kunalè Kudagba
1
;
Omar El Beqqali
1
and
Hassan Badir
2
Affiliations:
1
USMBA University, Morocco
;
2
National School of Applied Science (ENSA), Morocco
Keyword(s):
Proteomics, Ontology, XML, Trees, Semantic Web, Query Rewriting, Minimal Transversals.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Middleware Integration
;
Middleware Platforms
;
Modeling Formalisms, Languages and Notations
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
;
Technology Platforms
Abstract:
Querying and sharing Web proteomics data is not an easy task. Given that, several data sources can be used to answer the same sub-goals in the Global query, it is obvious that we can have many candidates rewritings. The user-query is formulated using Concepts and Properties related to Proteomics research (Domain Ontology). Semantic mappings describe the contents of underlying sources. In this paper, we propose a characterization of query rewriting problem using semantic mappings as an associated hypergraph. Hence, the generation of candidates’ rewritings can be formulated as the discovery of minimal Transversals of an hypergraph. We exploit and adapt algorithms available in Hypergraph Theory to find all candidates rewritings from a query answering problem. Then, in future work, some relevant criteria could help to determine optimal and qualitative rewritings, according to user needs, and sources performances.