DocumentCode :
2864846
Title :
The Rewriting Algorithm for Disjunctive Queries between Peer Ontologies
Author :
Biao Qin ; Shan Wang
Author_Institution :
Renmin Univ. of China, Beijing
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
68
Lastpage :
73
Abstract :
We study the problem of answering queries given a set of mappings between peer ontologies. In addition to the schema mapping between peer ontologies, there are axioms to give constraints to classes and properties. We propose a set of rules to build graphs for the axioms. Because the axioms have different properties, the generated graphs are classified into four sets. In each peer, its RDF/OWL query languages can support regular expressions. If it wants to be transitive along semantic paths in peer knowledge management systems, we must rewrite conjunctive and disjunctive queries between peers. Because conjunctive queries are well-understood, we focus on a novel algorithm to rewrite disjunctive queries along semantic paths based on the graphs. For all atoms of a disjunctive query, we consider its union as a set and find the maximum rewritings over peers through a graphical way. Finally we do extensive simulation experiments. The simulation results show our algorithm can generate more rewritings than the naive rewriting algorithm at each distance.
Keywords :
graph theory; knowledge management; knowledge representation languages; ontologies (artificial intelligence); peer-to-peer computing; query languages; query processing; rewriting systems; RDF/OWL query languages; disjunctive query answering; graph generation algorithm; peer knowledge management system; peer ontologies; regular expressions; rewriting algorithm; Computer science; Connectors; Database languages; Extraterrestrial measurements; Knowledge management; Laboratories; OWL; Ontologies; Resource description framework; Terminology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
Type :
conf
DOI :
10.1109/SKG.2007.50
Filename :
4438512
Link To Document :
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