Nikolaos Trokanas

An ontological approach towards enabling processing technologies participation in industrial symbiosis

Abstract A new ontological framework which supports processing technologies participation in Industrial Symbiosis (IS) is proposed. The framework uses semantic web service formalism to describe technology based on tacit knowledge embedded in the domain ontology and explicit knowledge acquired from the users. To enhance technology discovery, IS relevant processing technology classification and characterization is proposed. Technology participation in IS is addressed. Partial semantic input–output matching is used to propose complex and innovative networks assessed and ranked by their technological, economic and environmental benefits. The proposed framework is implemented as a web service and operation demonstrated using a case study.

Semantic input/output matching for waste processing in industrial symbiosis

Industrial symbiosis (IS) is a subdiscipline of Industrial Ecology that aims to bring together companies from different sectors to share resources, namely energy, materials, and water. The main goal of IS is to improve resource (materials, waste, energy) efficiency and lead to mutual environmental, financial and social benefits to participants.In this paper we present a semantic approach for IS input/output matching. This approach is based on knowledge modelling and ontologies.Ontologies are used to model all resources - waste, water, energy - along with details about their composition, characteristics (chemical and physical) and tacit knowledge about their flow.The input/output matching algorithm presented enables the valorisation of resources through industrial symbiosis networks.

Semantic Formalism for Waste and Processing Technology Classifications Using Ontology Models

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.

Semantic algorithm for Industrial Symbiosis network synthesis

Abstract The paper introduces a semantic algorithm for building Industrial Symbiosis networks. Built around ontology modelling of knowledge in the domain of Industrial Symbiosis, the algorithm enables the acquisition of the explicit knowledge from the user through ontology instantiation and input/output matching based on semantic relevance between the participants. Formation of innovative Industrial Symbiosis networks is enabled by decomposition of properties characterising respective resources and solutions, the process optimised for set environmental criteria. The proposed algorithm is implemented as a web service. The potential of the algorithm is demonstrated by several case studies using real-life data.

Ontology evaluation for reuse in the domain of Process Systems Engineering

Ontologies are a useful tool for knowledge representation, sharing and reuse. Although the number of available ontologies is increasing, the concomitant reuse activities are not following respectively. This is particularly true in the domain of Process Systems Engineering where the ontology development has been proven to be a challenging task and respective reusability is at its infancy. This paper presents a framework for evaluation of ontology for reuse. 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. The framework was demonstrated using a Chemical and Process Engineering case.

OFIS – Ontological Framework for Industrial Symbiosis

This paper proposes an ontological framework to support Industrial Symbiosis (IS) operation. The framework exploits semantic knowledge modeling and enables structural data transformation for identification of potential synergies between various industries and hence formation of one to one and complex symbiotic networks.

A semantic framework for enabling model integration for biorefining

This paper introduces a new paradigm for establishing a framework that enables interoperability between process models and datasets using ontology engineering. Semantics are used to model the knowledge in the domain of biorefining including both tacit and explicit knowledge, which supports registration and instantiation of the models and datasets. Semantic algorithms allow the formation of model integration through input/output matching based on semantic relevance between the models and datasets. In addition, partial matching is employed to facilitate flexibility to broaden the horizon to find opportunities in identifying an appropriate model and/or dataset. The proposed algorithm is implemented as a web service and demonstrated using a case study.

Semantic Support for Industrial Symbiosis Process

Abstract This paper introduces a knowledge based web platform (eSymbiosis 1 ), which allows the automation of Industrial Symbiosis practice and semantic discovery of potential synergies between different industries.

Semantically-enabled Formalisation to Support and Automate the Application of Industrial Symbiosis

Abstract Industrial Symbiosis (IS) is an innovative approach that brings together companies from different sectors in an effort to improve resource efficiency. This paper introduces a semantically enabled web platform that supports and automates the application of IS. The platform is based on the semantic formalisms for the waste and processing technology classifications, further supported by the semantic web services technology in the process of establishing synergies.

BiOnto: An Ontology for Biomass and Biorefining Technologies

This paper presents design and implementation of the BiOnto ontology in the domain of biorefining. The ontology models both biomass types and composition and biorefining processing technologies. The designed ontology is verified by a case study in the domain of Industrial Symbiosis.