Paper Info
Title
Ontology evolution in data integration: query rewriting to the rescue
Abstract
The evolution of ontologies is an undisputed necessity in ontologybased data integration. In such systems ontologies are used as global schema in order to formulate queries that are answered by the data integration systems. Yet, few research efforts have focused on addressing the need to reflect ontology evolution onto the underlying data integration systems. In most of these systems, when ontologies change their relations with the data sources, i.e., the mappings, are recreated manually, a process which is known to be error-prone and timeconsuming. In this paper, we provide a solution that allows query answering under evolving ontologies without mapping redefinition. To achieve that, query rewriting techniques are exploited in order to produce equivalent rewritings among ontology versions. Whenever equivalent rewritings cannot be produced we a) guide query redefinition or b) provide the best "over-approximations". We show that our approach can greatly reduce human effort spent since continuous mapping redefinition on evolving ontologies is no longer necessary.
Year
DOI
Venue
2011
10.1007/978-3-642-24606-7_29
ER
Keywords
Field
DocType
guide query redefinition,ontology evolution,data integration system,mapping redefinition,ontologybased data integration,equivalent rewritings,underlying data integration system,continuous mapping redefinition,systems ontology,query answering,data source
Ontology (information science),Data integration,Ontology,Ontology-based data integration,Query Rewriting,Data mining,Conjunctive query,Information retrieval,Query expansion,Computer science,Ontology evolution,Database
Conference
Volume
ISSN
Citations 
6998
0302-9743
8
PageRank 
References 
Authors
0.52
15
2
Name
Order
Citations
PageRank
Haridimos Kondylakis132536.63
Dimitris Plexousakis22586326.38