N
Nikolaos Trokanas
Researcher at University of Surrey
Publications - 27
Citations - 394
Nikolaos Trokanas is an academic researcher from University of Surrey. The author has contributed to research in topics: Ontology (information science) & Industrial symbiosis. The author has an hindex of 10, co-authored 27 publications receiving 349 citations. Previous affiliations of Nikolaos Trokanas include University of Cambridge.
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Journal ArticleDOI
e-Symbiosis: technology-enabled support for Industrial Symbiosis targeting Small and Medium Enterprises and innovation
Franjo Cecelja,Tara Raafat,Nikolaos Trokanas,S. Innes,M. Smith,Aidong Yang,Y. Zorgios,A. Korkofygas,Antonis C. Kokossis +8 more
TL;DR: In this article, a new paradigm for industrial symbiosis by pioneering the use of ontology engineering in the field is introduced. And the approach has been implemented as a multilingual web service to support Industrial Symbiosis communities.
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Semantic input/output matching for waste processing in industrial symbiosis
TL;DR: The input/output matching algorithm presented enables the valorisation of resources through industrial symbiosis networks, based on knowledge modelling and ontologies.
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An ontological approach towards enabling processing technologies participation in industrial symbiosis
TL;DR: A new ontological framework which supports processing technologies participation in Industrial Symbiosis (IS) is proposed, which uses semantic web service formalism to describe technology based on tacit knowledge embedded in the domain ontology and explicit knowledge acquired from the users.
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Semantic approach for pre-assessment of environmental indicators in Industrial Symbiosis
TL;DR: A systemisation of IS relevant environmental metrics and a semantic approach based on knowledge modelling using ontologies to facilitate “a priori” calculation of respective indicators are presented.
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Ontology Evaluation for Reuse in the Domain of Process Systems Engineering
Nikolaos Trokanas,Franjo Cecelja +1 more
TL;DR: The proposed framework benefits from information about ontologies, such as terminology and ontology structure, to calculate a compatibility metric of ontology suitability for reuse and hence integration and was demonstrated using a Chemical and Process Engineering case.