Tractable Probabilistic Description Logic Programs

<p>We propose tractable probabilistic description logic programs (or probabilistic dl-programs) for the Semantic Web, which combine tractable description logics, normal programs under the answer set semantics, and probabilities. In particular, we introduce the total well-founded semantics for...

Full description

Bibliographic Details
Main Author: Lukasiewicz, T
Format: Conference item
Published: Springer 2007
_version_ 1826258606636400640
author Lukasiewicz, T
author_facet Lukasiewicz, T
author_sort Lukasiewicz, T
collection OXFORD
description <p>We propose tractable probabilistic description logic programs (or probabilistic dl-programs) for the Semantic Web, which combine tractable description logics, normal programs under the answer set semantics, and probabilities. In particular, we introduce the total well-founded semantics for probabilistic dl-programs. Contrary to the previous answer set and well-founded semantics, it is defined for all probabilistic dl-programs and all probabilistic queries. Furthermore, tight (resp., tight literal) query processing under the total well-founded semantics coincides with tight (resp., tight literal) query processing under the previous well-founded (resp., answer set) semantics whenever the latter is defined. We then present an anytime algorithm for tight query processing in probabilistic dl-programs under the total well-founded semantics. We also show that tight literal query processing in probabilistic dl-programs under the total well-founded semantics can be done in polynomial time in the data complexity and is complete for EXP in the combined complexity. Finally, we describe an application of probabilistic dl-programs in probabilistic data integration for the Semantic Web.</p>
first_indexed 2024-03-06T18:36:37Z
format Conference item
id oxford-uuid:0b775726-741a-4911-8aa8-c142f1ec5236
institution University of Oxford
last_indexed 2024-03-06T18:36:37Z
publishDate 2007
publisher Springer
record_format dspace
spelling oxford-uuid:0b775726-741a-4911-8aa8-c142f1ec52362022-03-26T09:29:31ZTractable Probabilistic Description Logic ProgramsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:0b775726-741a-4911-8aa8-c142f1ec5236Department of Computer ScienceSpringer2007Lukasiewicz, T<p>We propose tractable probabilistic description logic programs (or probabilistic dl-programs) for the Semantic Web, which combine tractable description logics, normal programs under the answer set semantics, and probabilities. In particular, we introduce the total well-founded semantics for probabilistic dl-programs. Contrary to the previous answer set and well-founded semantics, it is defined for all probabilistic dl-programs and all probabilistic queries. Furthermore, tight (resp., tight literal) query processing under the total well-founded semantics coincides with tight (resp., tight literal) query processing under the previous well-founded (resp., answer set) semantics whenever the latter is defined. We then present an anytime algorithm for tight query processing in probabilistic dl-programs under the total well-founded semantics. We also show that tight literal query processing in probabilistic dl-programs under the total well-founded semantics can be done in polynomial time in the data complexity and is complete for EXP in the combined complexity. Finally, we describe an application of probabilistic dl-programs in probabilistic data integration for the Semantic Web.</p>
spellingShingle Lukasiewicz, T
Tractable Probabilistic Description Logic Programs
title Tractable Probabilistic Description Logic Programs
title_full Tractable Probabilistic Description Logic Programs
title_fullStr Tractable Probabilistic Description Logic Programs
title_full_unstemmed Tractable Probabilistic Description Logic Programs
title_short Tractable Probabilistic Description Logic Programs
title_sort tractable probabilistic description logic programs
work_keys_str_mv AT lukasiewiczt tractableprobabilisticdescriptionlogicprograms