Browse our site
About
People
Research Areas
Projects
Publications
Books
Book chapters
Journal articles
In proceedings
M. Sc. Dissertations
Ph. D. Dissertations
Technical reports
Seminars
News
You are here:
Home
Publications
View
Publication details
Go back
Publication details
Main information
Title:
Towards Tractable Local Closed World Reasoning for the Semantic Web
Publication date:
December 2007
Citation:
kah07:epia
Abstract:
Recently, the logics of minimal knowledge and negation as failure MKNF was used to introduce hybrid MKNF knowledge bases, a powerful formalism for combining open and closed world reasoning for the Semantic Web. We present an extension based on a new three-valued framework including an alternating fixpoint, the well-founded MKNF model. This approach, the well-founded MKNF semantics, derives its name from the very close relation to the corresponding semantics known from logic programming. We show that the well-founded MKNF model is the least model among all (three-valued) MKNF models, thus soundly approximating also the two-valued MKNF models. Furthermore, its computation yields better complexity results (up to polynomial) than the original semantics where models usually have to be guessed.
In proceedings
Authors:
Matthias Knorr
,
José Júlio Alferes
, P. Hitzler
Editors:
J. Maia Neves, M. F. Santos, J. M. Machado
Book title:
Progress in Artificial Intelligence, Procs. 13th Portuguese Intl.Conf. on Artificial Intelligence
Series:
LNAI
Publisher:
Springer
Address:
Guimarães, Portugal
Volume:
-
Pages:
-
ISBN:
-
ISSN:
-
Note:
-
Url address:
-
Publication files
File #1:
- click here to download -
pdf 354 KB
Export formats
Plain text:
Matthias Knorr and José Júlio Alferes and P. Hitzler, Towards Tractable Local Closed World Reasoning for the Semantic Web, in: J. Maia Neves and M. F. Santos and J. M. Machado (eds), Progress in Artificial Intelligence, Procs. 13th Portuguese Intl.Conf. on Artificial Intelligence, LNAI, Springer, Guimarães, Portugal, December 2007.
HTML:
<a href="/people/members/view.php?code=69f33c830f67494d14d40325975eb39b" class="author">Matthias Knorr</a>, <a href="/people/members/view.php?code=6c74cfdbe88c7f9522c44ebcef69c8e7" class="author">José Júlio Alferes</a> and P. Hitzler, <b>Towards Tractable Local Closed World Reasoning for the Semantic Web</b>, in: J. Maia Neves, M. F. Santos and J. M. Machado (eds), <u>Progress in Artificial Intelligence, Procs. 13th Portuguese Intl.Conf. on Artificial Intelligence</u>, LNAI, <a href="http://www.springer.com" title="Link to external entity..." target="_blank" class="publisher">Springer</a>, Guimarães, Portugal, December 2007.
BibTeX:
@inproceedings {kah07:epia, author = {Matthias Knorr and Jos{\'e} J{\'u}lio Alferes and P. Hitzler}, editor = {J. Maia Neves and M. F. Santos and J. M. Machado}, title = {Towards Tractable Local Closed World Reasoning for the Semantic Web}, booktitle = {Progress in Artificial Intelligence, Procs. 13th Portuguese Intl.Conf. on Artificial Intelligence}, series = {LNAI}, publisher = {Springer}, address = {Guimar{\~a}es, Portugal}, abstract = {Recently, the logics of minimal knowledge and negation as failure MKNF was used to introduce hybrid MKNF knowledge bases, a powerful formalism for combining open and closed world reasoning for the Semantic Web. We present an extension based on a new three-valued framework including an alternating fixpoint, the well-founded MKNF model. This approach, the well-founded MKNF semantics, derives its name from the very close relation to the corresponding semantics known from logic programming. We show that the well-founded MKNF model is the least model among all (three-valued) MKNF models, thus soundly approximating also the two-valued MKNF models. Furthermore, its computation yields better complexity results (up to polynomial) than the original semantics where models usually have to be guessed.}, month = {December}, year = {2007}, }
Publication's urls
Full url:
/publications/view.php?code=3bb8c6405976476427d1e5eb1e889bec
Friendly url:
/publications/view.php?code=kah07:epia
Go back
Departamento de Informática, FCT/UNL
Quinta da Torre 2829-516 CAPARICA - Portugal
Tel. (+351) 21 294 8536 FAX (+351) 21 294 8541