||h-Techsight: a knowledge management platform for technology intensive industries
|| Kokossis, A., Bañares-Alcántara, R., Jiménez, L., Linke, P.
||Computer Aided Chemical Engineering, vol.20, no.C, p.1345-1350
||knowledge management; knowledge retrieval; ontology; web search
||In knowledge-intensive industries it is of crucial importance to keep an up-to-date knowledge map of their domain in order to take the most appropriate strategic decisions. The main objective of the knowledge management platform (KMP) is to improve the capabilities of chemical process industries to monitor, predict and respond to technological trends and changes. The search, retrieval, analysis, filtering, rating and presentation of information retrieved from the web (or any other type of document) are elucidated through the use of multi-agent systems, dynamic ontologies and learning techniques (conceptually similar documents are clustered and natural language processing techniques are used to retrieve new terms). Discovery of new knowledge leads to recommendations of modifications in the ontology (either classes or instances) by pruning irrelevant sections, refining its granularity and/or testing its consistency. The KMP works using an intelligent, asynchronous and concurrent process to achieve high quality results. © 2005 Elsevier B.V. All rights reserved.
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