Semantic Formalism for Waste and Processing Technology Classifications Using Ontology Models

Trokanas, N; Raafat, T; Cecelja, F; Kokossis, A; Yang, A

dc.contributor.author	Trokanas, N	en
dc.contributor.author	Raafat, T	en
dc.contributor.author	Cecelja, F	en
dc.contributor.author	Kokossis, A	en
dc.contributor.author	Yang, A	en
dc.date.accessioned	2014-03-01T02:14:37Z
dc.date.available	2014-03-01T02:14:37Z
dc.date.issued	2012	en
dc.identifier.issn	15707946	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30067
dc.subject	Industrial Symbiosis	en
dc.subject	Knowledge Model	en
dc.subject	Ontology	en
dc.subject	Processing technology	en
dc.subject	Resource	en
dc.title	Semantic Formalism for Waste and Processing Technology Classifications Using Ontology Models	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/B978-0-444-59519-5.50034-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/B978-0-444-59519-5.50034-4	en
heal.publicationDate	2012	en
heal.abstract	Ontologies and semantics are widely used in many areas in an effort to enable the sharing, reusability and interoperability of knowledge. Industrial Symbiosis (IS) is an area which can be highly benefited by such technologies in order to eliminate the jargon barriers that exist in the resource/waste and processing technologies domains. In this paper, we present the use of these technologies in IS practice by demonstrating the development of different knowledge models that exploit the potential of semantics in order to automate the IS practice and make it more effective. © 2012 Elsevier B.V.	en
heal.journalName	Computer Aided Chemical Engineering	en
dc.identifier.doi	10.1016/B978-0-444-59519-5.50034-4	en
dc.identifier.volume	30	en
dc.identifier.spage	167	en
dc.identifier.epage	171	en