Expertini Research Research
Artificial Intelligence And Data Science PDF Available DOI: 10.1017/S1471068410000268 Non-peer-reviewed Preprint

Loop Formulas for Description Logic Programs

Yisong Wang, Jia-Huai You, Li Yan Yuan, Yi-Dong Shen  ·  Published 2010-07-23

Abstract

Description Logic Programs (dl-programs) proposed by Eiter et al. constitute an elegant yet powerful formalism for the integration of answer set programming with description logics, for the Semantic Web. In this paper, we generalize the notions of completion and loop formulas of logic programs to description logic programs and show that the answer sets of a dl-program can be precisely captured by the models of its completion and loop formulas. Furthermore, we propose a new, alternative semantics for dl-programs, called the {\em canonical answer set semantics}, which is defined by the models of completion that satisfy what are called canonical loop formulas. A desirable property of canonical answer sets is that they are free of circular justifications. Some properties of canonical answer sets are also explored.
📄 Full Paper Available as PDF
This paper is available as a downloadable PDF.
📄 Download PDF

✨ AI Plain-English Summary

Get a plain-English summary of this paper generated by AI (5 free per day).

Comments (0)

No comments yet. Be the first to comment.

Related Papers

Artificial Intelligence And Data Science PDF

An Efficient Algorithm for Computing Interventional Distributions in ...

2012
Artificial Intelligence And Data Science PDF

Sparse matrix-variate Gaussian process blockmodels for network modeling

2012
Artificial Intelligence And Data Science PDF

Hierarchical Maximum Margin Learning for Multi-Class Classification

2012
Artificial Intelligence And Data Science PDF

Tightening MRF Relaxations with Planar Subproblems

2012