Quete: Ontology-Based Query System for Distributed Sources

The exponential growth of the web and the extended use of database management systems in widely distributed information systems has brought to the fore the need for seamless interconnection of diverse and large numbers of information sources. Our contribution is a system that provides a flexible approach for integrating and transparently querying multiple data sources, using a reference ontology. Global semantic queries are automatically mapped to queries local to the participating sources. The query system is capable of handling complex join constructs and of choosing the appropriate attributes, relations, and join conditions to preserve user query semantics. Moreover, the query engine exploits information on horizontal, vertical, and hybrid fragmentation of database tables, distributed over the various data sources. This optimization improves system's recall and boosts its effectiveness and performance.

[1]  Deborah L. McGuinness,et al.  OWL Web ontology language overview , 2004 .

[2]  Dimitris Plexousakis,et al.  A Tool for Semi-Automated Semantic Schema Mapping: Design and Implementation , 2006, DISWEB.

[3]  Ramon Lawrence,et al.  Dynamic Database Integration in a JDBC Driver , 2005, ICEIS.

[4]  I. G. Tollis,et al.  Breast Cancer and Biomedical Informatics : The PrognoChip Project , 2004 .

[5]  Ken Barker,et al.  MULTIDATABASE QUERYING BY CONTEXT , 2000 .

[6]  Jeremy J. Carroll,et al.  Resource description framework (rdf) concepts and abstract syntax , 2003 .

[7]  Maurizio Lenzerini,et al.  Data integration: a theoretical perspective , 2002, PODS.

[8]  Carole A. Goble,et al.  TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources , 1998, ISMB.

[9]  Jennifer Widom,et al.  Integrating and Accessing Heterogeneous Information Sources in TSIMMIS , 1994 .

[10]  H Billhardt,et al.  An agent- and ontology-based system for integrating public gene, protein, and disease databases , 2007, J. Biomed. Informatics.

[11]  Patrick Valduriez,et al.  Principles of Distributed Database Systems, Second Edition , 1999 .

[12]  Patrick Valduriez,et al.  Scaling Access to Heterogeneous Data Sources with DISCO , 1998, IEEE Trans. Knowl. Data Eng..

[13]  Walter V. Sujansky,et al.  Heterogeneous Database Integration in Biomedicine , 2001, J. Biomed. Informatics.

[14]  Raghu Ramakrishnan,et al.  Database Management Systems , 1976 .

[15]  Joann J. Ordille,et al.  Querying Heterogeneous Information Sources Using Source Descriptions , 1996, VLDB.

[16]  Diego Calvanese,et al.  Survey on methods for query rewriting and query answering using views , 2001 .

[17]  Patrick Valduriez,et al.  Principles of Distributed Database Systems , 1990 .

[18]  Patrick Valduriez,et al.  Principles of distributed database systems (2nd ed.) , 1999 .

[19]  Omran A. Bukhres,et al.  BACIIS: Biological and Chemical Information Integration System , 2005, J. Database Manag..