Rewriting Conjunctive Queries over Description Logic Knowledge Bases.

We consider the problems of conjunctive query answering and rewriting for information integration systems in which a Description Logic ontology is used to provide a global view of the data. We present a resolution-based query rewriting algorithm for DL-Lite∈+∈ ontologies, and use it to show that que...

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Main Authors: Pérez-Urbina, H, Motik, B, Horrocks, I
Other Authors: Schewe, K
Format: Journal article
Language:English
Published: Springer 2008
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author Pérez-Urbina, H
Motik, B
Horrocks, I
author2 Schewe, K
author_facet Schewe, K
Pérez-Urbina, H
Motik, B
Horrocks, I
author_sort Pérez-Urbina, H
collection OXFORD
description We consider the problems of conjunctive query answering and rewriting for information integration systems in which a Description Logic ontology is used to provide a global view of the data. We present a resolution-based query rewriting algorithm for DL-Lite∈+∈ ontologies, and use it to show that query answering in this setting is NLogSpace-complete with respect to data complexity. We also show that our algorithm produces an optimal rewriting when the input ontology is expressed in the language DL-Lite. Finally, we sketch an extended version of the algorithm that would, we are confident, be optimal for several DL languages with data complexity of query answering ranging from LogSpace to PTime-complete. © 2008 Springer Berlin Heidelberg.
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spelling oxford-uuid:869db2f5-5fd3-499a-a4da-de9efede33592022-03-26T22:05:05ZRewriting Conjunctive Queries over Description Logic Knowledge Bases.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:869db2f5-5fd3-499a-a4da-de9efede3359EnglishSymplectic Elements at OxfordSpringer2008Pérez-Urbina, HMotik, BHorrocks, ISchewe, KThalheim, BWe consider the problems of conjunctive query answering and rewriting for information integration systems in which a Description Logic ontology is used to provide a global view of the data. We present a resolution-based query rewriting algorithm for DL-Lite∈+∈ ontologies, and use it to show that query answering in this setting is NLogSpace-complete with respect to data complexity. We also show that our algorithm produces an optimal rewriting when the input ontology is expressed in the language DL-Lite. Finally, we sketch an extended version of the algorithm that would, we are confident, be optimal for several DL languages with data complexity of query answering ranging from LogSpace to PTime-complete. © 2008 Springer Berlin Heidelberg.
spellingShingle Pérez-Urbina, H
Motik, B
Horrocks, I
Rewriting Conjunctive Queries over Description Logic Knowledge Bases.
title Rewriting Conjunctive Queries over Description Logic Knowledge Bases.
title_full Rewriting Conjunctive Queries over Description Logic Knowledge Bases.
title_fullStr Rewriting Conjunctive Queries over Description Logic Knowledge Bases.
title_full_unstemmed Rewriting Conjunctive Queries over Description Logic Knowledge Bases.
title_short Rewriting Conjunctive Queries over Description Logic Knowledge Bases.
title_sort rewriting conjunctive queries over description logic knowledge bases
work_keys_str_mv AT perezurbinah rewritingconjunctivequeriesoverdescriptionlogicknowledgebases
AT motikb rewritingconjunctivequeriesoverdescriptionlogicknowledgebases
AT horrocksi rewritingconjunctivequeriesoverdescriptionlogicknowledgebases