Loading...
Date
2012
Abstract
Constraints are widely used in information technologies and research elds such as programming languages, arti cial in- telligence, databases, information security, web technologies, etc. In this paper, we present our preliminary steps of using soft constraints for knowledge representation. We integrate soft constraints in KnowLang, a formal language for knowl- edge representation in self-adaptive systems. KnowLang al- lows for e cient and comprehensive knowledge structuring where ontologies are integrated with rules and Bayesian net- works. The approach targets at a technique where knowl- edge can be represented as special restrictive rules that may require full or partial satisfaction, i.e., restrictions are rep- resented as some sort of good-to-have properties.
Supervisor
Description
peer-reviewed
Publisher
Association for Computing Machinery
Citation
Proceedings of C* Conference on Computer Science & Software Engineering (C3S2E '12);pp. 99-103
Files
Loading...
Montanair_2012_soft.pdf
Adobe PDF, 307.01 KB
ULRR Identifiers
Funding code
Funding Information
European Research Council (ERC), Science Foundation Ireland (SFI)