Knowledge structuring to support facet-based ontology visualization

摘要: The huge growth of data on the Web and requirement semantic content analysis make knowledge management mining very difficult activities. elicitation, codification, storage need not trivial techniques to improve formal information structuring Internet. Ontologies provide conceptualization processing knowledge, sharing consolidate understanding, reusing domain codification for many applications. Manual construction a domain-specific ontology is an intensive time-consuming process, which requires accurate expertise, because structural logical difficulties in definition concepts, as well conceivable relationships. At same time, visualization process similar endeavors support management, exploration, browsing. This work describes automatic method design from resources. approach exploits fuzzy extension concept model elicited viz. concepts relations embedded resources content. Final result effective through navigable, facet-based view built across extracted their own population. Furthermore, proposes simple labeling sketched intuitive process. © 2010 Wiley Periodicals, Inc.