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The big volume of knowledge, info, and data to be had in electronic shape on the net or in the organizational wisdom base calls for a greater strategy to keep an eye on it. The Semantic net and its turning out to be complexity calls for a source for the knowledge of right instruments for administration.
Semantic wisdom administration: An Ontology-Based Framework addresses the Semantic net from an operative perspective utilizing theoretical techniques, methodologies, and software program purposes as leading edge ideas to precise wisdom administration. This complicated name presents readers with serious steps and instruments for constructing a semantic dependent wisdom administration process.
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Additional resources for Semantic Knowledge Management: An Ontology-based Framework
Stepwise ontology design of our ontology design (see Figure 3) will later be extended and enriched to become general design guidelines. Several computer-based tools are available to help people in ontology design (in the rest of this chapter, we shall use OntoMaker). OntoMaker is an implementation highly inspired from Protégé2000, a free tool developed at Stanford University (Noy, 2001) which supports users in constructing domain ontologies, customizing knowledgeacquisition forms, and entering domain knowledgei.
Nature, 401(6749):131-131. Netcraft (2007). com/archives/web_server_survey. html Bennett, B. & Fellbaum, C. ), (2006). Formal ontology in information systems. In Proceedings of the4th International Conference (FOIS 2006), Volume 150, Frontiers in Artificial Intelligence and Applications. IOS Press. endnoTes a b Malone, T. W. (2004). The future of work: How the new order of business will shape your organization, your managementsStyle and yourlLife. Harvard Business School Press. , & Takeuchi, H.
Any study on descriptive languages is devoted only to acquiring their structure as we assume the importance to use a widespread standard that only international bodies like the W3C can guarantee. The final aim of the project is to sketch a methodology for developing ontology and describing knowledge resources and to develop an integrated set of tools for enabling users without deep technological skills to use them for building their semantic knowledge base. The strategy that is pursued is based on the awareness that the Semantic Web needs two types of skills: a technical expertise for using languages, tools and systems and knowledge expertise in order to develop effective ontologies.