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Knowledge representation with KnowLang: the marXbot Case Study

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Show simple item record Vassev, Emil Hinchey, Mike 2012-12-04T14:32:02Z 2012-12-04T14:32:02Z 2012
dc.description peer-reviewed en_US
dc.description.abstract Intelligent systems are capable of AI exhibited via knowledge representation and reasoning, which helps to connect abstract knowledge symbols to real-world meanings. This paper presents a formal language for knowledge representation called KnowLang. The language implies a multi-tier specification model emphasizing knowledge corpuses, knowledge base operators and inference primitives. The approach allows for efficient and comprehensive knowledge structuring where ontologies are integrated with rules and Bayesian networks. The paper presents the KnowLang specification constructs formally along with a case study based on a mobile robotics platform. en_US
dc.language.iso eng en_US
dc.publisher IEEE Computer Society en_US
dc.relation info:eu-repo/grantAgreement/EC/FP7/257414 en_US
dc.relation.ispartofseries Proceedings of the 11th IEEE International Conference on Cybernetic Intelligent Systems;
dc.rights “© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en_US
dc.subject knowledge representation en_US
dc.subject reasoning robotics en_US
dc.title Knowledge representation with KnowLang: the marXbot Case Study en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor ERC en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid ASCENS en_US
dc.relation.projectid 03/CE2/I303_1 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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