An Approach to Probabilistic Data Integration for the Semantic Web
<p>In previous work, we have introduced probabilistic description logic programs for the Semantic Web, which combine description logics, normal programs under the answer set (resp., well-founded) semantics, and probabilistic uncertainty. In this paper, we continue this line of research. We pro...
Main Authors: | , |
---|---|
Format: | Conference item |
Published: |
CEUR−WS.org
2006
|
_version_ | 1826279029804630016 |
---|---|
author | Calì, A Lukasiewicz, T |
author_facet | Calì, A Lukasiewicz, T |
author_sort | Calì, A |
collection | OXFORD |
description | <p>In previous work, we have introduced probabilistic description logic programs for the Semantic Web, which combine description logics, normal programs under the answer set (resp., well-founded) semantics, and probabilistic uncertainty. In this paper, we continue this line of research. We propose an approach to probabilistic data integration for the Semantic Web that is based on probabilistic description logic programs, where probabilistic uncertainty is used to handle inconsistencies between different data sources. It is inspired by recent works on probabilistic data integration in the database and web community.</p> |
first_indexed | 2024-03-06T23:52:45Z |
format | Conference item |
id | oxford-uuid:732aaebf-690d-4ec1-b050-59ed156cea2a |
institution | University of Oxford |
last_indexed | 2024-03-06T23:52:45Z |
publishDate | 2006 |
publisher | CEUR−WS.org |
record_format | dspace |
spelling | oxford-uuid:732aaebf-690d-4ec1-b050-59ed156cea2a2022-03-26T19:54:40ZAn Approach to Probabilistic Data Integration for the Semantic WebConference itemhttp://purl.org/coar/resource_type/c_5794uuid:732aaebf-690d-4ec1-b050-59ed156cea2aDepartment of Computer ScienceCEUR−WS.org2006Calì, ALukasiewicz, T<p>In previous work, we have introduced probabilistic description logic programs for the Semantic Web, which combine description logics, normal programs under the answer set (resp., well-founded) semantics, and probabilistic uncertainty. In this paper, we continue this line of research. We propose an approach to probabilistic data integration for the Semantic Web that is based on probabilistic description logic programs, where probabilistic uncertainty is used to handle inconsistencies between different data sources. It is inspired by recent works on probabilistic data integration in the database and web community.</p> |
spellingShingle | Calì, A Lukasiewicz, T An Approach to Probabilistic Data Integration for the Semantic Web |
title | An Approach to Probabilistic Data Integration for the Semantic Web |
title_full | An Approach to Probabilistic Data Integration for the Semantic Web |
title_fullStr | An Approach to Probabilistic Data Integration for the Semantic Web |
title_full_unstemmed | An Approach to Probabilistic Data Integration for the Semantic Web |
title_short | An Approach to Probabilistic Data Integration for the Semantic Web |
title_sort | approach to probabilistic data integration for the semantic web |
work_keys_str_mv | AT calia anapproachtoprobabilisticdataintegrationforthesemanticweb AT lukasiewiczt anapproachtoprobabilisticdataintegrationforthesemanticweb AT calia approachtoprobabilisticdataintegrationforthesemanticweb AT lukasiewiczt approachtoprobabilisticdataintegrationforthesemanticweb |