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Internet‐Based Integrated Environmental Assessment Using Ontologies to Share Computational Models

Bibliographic Data

ID19466972
AuthorsSteven Kraines (0000-0002-4406-9099, The University of Tokyo, corresponding author), Rafael Batres (0000-0002-8934-5632, Toyohashi University of Technology), Michihisa Koyama (0000-0003-4347-9923, Tohoku University), David Wallace (0000-0003-2385-5979), David R Wallace (0000-0002-8596-7338, Massachusetts Institute of Technology), Hiroshi Komiyama (The University of Tokyo)
Year2005
Volume9
Issue3
Pages31-50
Publication date2005-07-01
Open AccessYes
TypeARTICLE
VenueJournal of Industrial Ecology (JOURNAL)
Journal identifiersISSN: 1088-1980 • E-ISSN: 1530-9290
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1162/1088198054821690
OpenAlexW2076908232
LanguageEN
Citations received10
References cited30

New advances in Internet technologies and computer modeling provide opportunities for collaborative systems to support research and development in the field of industrial ecology. In particular, new information technologies such as semantic search engines based on ontologies could help researchers to link fragments of knowledge generated at research centers from around the world. Using a storyline of four imaginary researchers who hope to find collaborators in order to develop their research findings, we illustrate two levels of a four‐level architecture for an Internet‐based knowledge integration and collaboration environment for integrated environmental assessment. The foundation of the proposed architecture is a belief that computational models are an effective medium for conveying expert knowledge of various phenomena. Drawing from this premise, the first level of the architecture stands on a base of computational models that in some way represent the expert knowledge of the model builder. At the second level, we provide markup and interface definition tools to describe the type of knowledge contained in each model, together with the types of information services that can be provided. The results of research at these two levels of an Internet‐based knowledge integration environment for integrated environmental assessment in industrial ecology are presented in this article. Our work on the third level of model searching and matching and the fourth level of parametric model integration and solving will be presented in subsequent articles

Data science · Knowledge base · Knowledge integration · Knowledge management · Markup language · Premise · The Internet · World Wide Web · XML · Advanced Database Systems and Queries · Computer Science · Scientific Computing and Data Management · Semantic Web and Ontologies · Architecture

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Citations per year0.56
Citation span2008 - 2025 (18)
Highly citedNo

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