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| Content Provider | Springer Nature Link |
|---|---|
| Author | Du, Jianfeng Qi, Guilin Shen, Yi Dong |
| Copyright Year | 2012 |
| Abstract | Non-standard query mechanisms that work under inconsistency are required in some important description logic (DL)-based applications, including those involving an inconsistent DL knowledge base ( KB) whose intensional knowledge is consistent but is violated by its extensional knowledge. This paper proposes a weight-based semantics for querying such an inconsistent KB. This semantics defines an answer of a conjunctive query posed upon an inconsistent KB as a tuple of individuals whose substitution for the variables in the query head makes the query body entailed by any subbase of the KB consisting of the intensional knowledge and a weight-maximally consistent subset of the extensional knowledge. A novel computational method for this semantics is proposed, which works for extensionally reduced $${\mathcal {SHIQ}}$$ KBs and conjunctive queries without non-distinguished variables. The method first compiles the given KB to a propositional program; then, for any given conjunctive query, it reduces the problem of computing all answers of the given query to a set of propositional satisfiability (SAT) problems with PB-constraints, which are then solved by SAT solvers. A decomposition-based framework for optimizing the method is also proposed. The feasibility of this method is demonstrated in our experiments. |
| Starting Page | 335 |
| Ending Page | 371 |
| Page Count | 37 |
| File Format | |
| ISSN | 02191377 |
| Journal | Knowledge and Information Systems |
| Volume Number | 34 |
| Issue Number | 2 |
| e-ISSN | 02193116 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2012-03-15 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Semantic Web Description logics Query answering Inconsistency-tolerant reasoning Weight-based semantics Information Systems and Communication Service Business Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Information Systems Human-Computer Interaction Hardware and Architecture Software |
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