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Content available Personalized Knowledge Mining in Large Text Sets
EN
The paper starts with a discussion of the concept of knowledge engineering, in particular ontological engineering. Consequently, the paper presents assumptions accepted as a basis for a group research on a radically personalized system of ontological knowledge mining, relying on the perspective of human centered computing and combining ontological concepts of the user with an ontology resulting from an automatic classification of a given set of textual data. The paper presents a pilot system PrOnto that supports research work in two aspects: searching for information interesting for a user according to her/his personalized ontological profile, and supporting research cooperation in a group of users (Virtual Research Community) according, e.g., to a comparison of such personalized ontological profiles. The paper concludes with suggestions concerning diverse applications of ontological engineering tools and future work.
EN
Though the issue of knowledge management is a hot subject of interest in nowadays market companies, integrated solutions fit to the specific needs of research institutes still require more attention. This paper documents a part of the research activities performed at National Institute of Telecommunications, related to development of research institute knowledge management support system. The ideas lying in the background of the system come from the recent theories of knowledge creation and creativity support and from experience with everyday practice of knowledge management in market companies. Main focus is put here on the issue of creation of a research topics ontology that is meant to be a semantic backbone of the system. Three-stage approach is proposed, aiming at the construction of ontologies for different levels of organizational hierarchy, from individual researcher, through group or unit, up to the whole institute. Created ontologies are linked to knowledge resources and support diverse activities performed at those levels.
EN
The development of a new research area known as Knowledge Engineering and a growing popularity of the problem of knowledge management, representation and sharing lead to the development of a domain knowledge description tool called ontology. As there is still no single, homogenous definition of ontology, it is necessary to analyze the existing definitions, as well as ontology categorization methods. The growing popularity of this tool resulted in creation of ontology building languages and tools designed for working with ontologies. In this paper authors discuss the different ontology definitions, present an example, from the queuing systems domain which shows the importance, and complexity of the process of mapping an ontology of one domain into an ontology of another domain and also describe a number of existing solutions allowing the description and use of an ontology. They also point out the biggest, at the moment, shortcoming of the existing solutions.
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