Knowledge representation with KnowLang: the marXbot Case Study

dc.contributor.author	Vassev, Emil
dc.contributor.author	Hinchey, Mike
dc.date.accessioned	2012-12-04T14:32:02Z
dc.date.available	2012-12-04T14:32:02Z
dc.date.issued	2012
dc.identifier.uri	http://hdl.handle.net/10344/2730
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	ASCENS	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