Publication details

Title	A knowledge management platform to extract and process information from the web
Document Type	Article
Year	2003
Authors	Bañares-Alcántara, R., Kokossis, A., Aldea, A., Jiménez, L., Linke, P.
Source	Computer Aided Chemical Engineering, vol.15, no.C, p.1262-1267
Keywords	Knowledge Management; Multi-Agent Systems; Ontologies
Abstract	In technology intensive industries new domains emerge, evolve, mature and decline very fast. Thus, managers have to make strategic business decisions based not only on well-established information but also on uncertain, dynamic and incomplete information. This paper describes a support tool that extracts, processes, classifies and updates the knowledge contained in the Web with little supervision from the user. As a result, we expect companies that use these knowledge management practices to benefit by improving their capability to monitor, predict and respond to technological, product and market trends and changes. Two techniques are used: ontologies to represent the domain knowledge and software agents to perform the search. A biosensor ontology was used as a case study for the web search prototype described in this paper. © 2003 Elsevier B.V. All rights reserved.
More info	Publication link