Agora: A hybrid P2P approach for knowledge description and discovery in distributed repositories

Georgolios, P-P; Kafentzis, K; Metaxiotis, K

dc.contributor.author	Georgolios, P-P	en
dc.contributor.author	Kafentzis, K	en
dc.contributor.author	Metaxiotis, K	en
dc.date.accessioned	2014-03-01T01:55:21Z
dc.date.available	2014-03-01T01:55:21Z
dc.date.issued	2006	en
dc.identifier.issn	03055728	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27695
dc.subject	Knowledge management	en
dc.subject	Knowledge sharing	en
dc.title	Agora: A hybrid P2P approach for knowledge description and discovery in distributed repositories	en
heal.type	journalArticle	en
heal.identifier.primary	10.1108/03055720610716683	en
heal.identifier.secondary	http://dx.doi.org/10.1108/03055720610716683	en
heal.publicationDate	2006	en
heal.abstract	Purpose - The purpose of this paper is to propose an approach for describing and discovering knowledge resources in distributed environments. Design/methodology/approach - The paper proposes a solution that includes a framework model and a technological infrastructure to achieve distributed knowledge discovery. It provides the solution based on a combination of research from knowledge management and distributed processing areas. Findings - The paper finds a faceted ontology and three discrete models that best achieve distributed processing in terms of knowledge items and knowledge objects. By these mechanisms are provided to: represent knowledge in a generic manner that will unchain knowledge from tight links to specific contexts, purposes and audiences; discover and retrieve knowledge stored in distributed sources; interpret different knowledge representations to enable comprehension of knowledge on the recipient side and tackle the heterogeneity problem; and simplify and accelerate knowledge exchange in distributed environments. Research limitations/implications - The utilization of knowledge in distributed environments (intra- or inter-organizational) presupposes the existence of a representation of knowledge in a commonly understandable manner. Knowledge resources are distributed in the web and databases in an unstructured manner. Practical implications - The paper can be used as the basic consensus and infrastructure for the development of a coherent, manageable semantic web. The three models should be addressed in terms of commercial applications. Originality/value - Knowledge management and distributed processing research fields are combined in order to provide a solution that best addresses the problem of distributed knowledge.	en
heal.journalName	VINE	en
dc.identifier.doi	10.1108/03055720610716683	en
dc.identifier.volume	36	en
dc.identifier.issue	4	en
dc.identifier.spage	432	en
dc.identifier.epage	444	en