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Nowadays the vast amount of text-based information stored in organizations requires different approaches and new tools in order to manage it adequately. This paper presents Hypatia, a support expert system for documentation departments and regular users that exploits not only local information, but also external resources from the Web (e.g., Linked Data). The expert system uses different modules:...
Ontology databases in Semantic Grid can grow very large making it more complex and difficult to manage. Sub-ontology extraction in compliance with the user requirements paves the way for sub-ontology reuse in sub-ontology/ontology tailoring. As new developments and discoveries are unleashed, or when sub-ontology will be reused, the need to update the extracted sub-ontology is deemed necessary. In...
Knowledge discovery is the non-trivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data. The complicated computational environment with ultra-large-scale, heterogeneous, highly-dynamic, and semantic-implicit data in the 21st century puts forward new problems and challenges for traditional knowledge discovery. As a solution, Semantic Web and Cloud...
Web pages are typical semi-structure data. Some tree-based models have been proposed to describe the semantic content structure of web pages in order to facilitate further content analysis. However, most existing models only present the segmentation hierarchy of content blocks rather than the semantic relationships among them. In this work, we propose a novel web page semantic structure model, called...
Delivering successful projects and system in a sustaining way becomes more and more the focus of systems and software developing organizations. New approaches in the field of assessment and standardization application led to an increase of assessment and self assessment systems. But these systems are only the first step on a long way. If the assessment system itself is not supported by a learning...
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