Home // SEMAPRO 2015, The Ninth International Conference on Advances in Semantic Processing // View article

Semantic Location Models for Bioenergy and Biofuel Projects

Authors:
Krishna Sapkota
Pathmeswaran Raju
William Byrne
Craig Chapman
Lynsey Melville

Keywords: bioenergy ontology; location model; semantic location model; ontology-based location model; biomass; bioenergy; renewable energy

Abstract:
The five fundamental for a successful bioenergy project are feedstock, technology, off-take, finance and help from experts. In order to realize the essence of these fundamentals, recently, many governments and organizations are providing Decision Support Tools (DST) to the experts and project developers. One of such tools is Location Model, which helps the developers to identify the prime location for a project. The model comprises the concepts, relations, logics, constants and equations related to bioenergy and location. The model is currently represented in non-semantic means, such as spreadsheets and programming code. Representing the knowledge in non-semantic format will make the model less reusable and extendable. In order to alleviate the issues, in this paper, we present semantic location models. In particular, we have leveraged the Semantic Web technologies to represent the knowledge about the bioenergy and biofuel plant location and inferred the equations and other values required for location related calculations. The results, observed in two INTERREG IVB projects, have been found encouraging.

Pages: 44 to 50

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-420-6

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015