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Ontologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications. However, the process of ontology building is still a lengthy and error-prone task. Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been...
In the current age of recession, human resource department of every organization is facing a real challenging task of recruiting right talent peoples who can do the project in different problem domain and complete it within timeline. The main responsibility of any HR personnel is to propose right talent pool to the interviewers to save their time in selecting the right talent for their organization...
In semantic Web, ontology mapping is the basis of the interoperation of heterogeneous ontologies. Ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. The current ontology mapping methods merely use massive Web pages in the Internet and they are unpractical to subsequent interoperation and integration of heterogeneous...
Discovering the semantic relationships in knowledgebase is critical in information processing and knowledge management. Previous studies of discovering semantic relationships are mainly based on the information extraction using manually annotated training set and predefined semantic relationship patterns. In this paper, we propose a new method to automatically discover the semantic relationships between...
We consider a digital business ecosystem environment where SMEs cooperate and compete. We aim to provide to each SME and the ecosystem with knowledge management mechanisms to support their needs for information, service findings and recommendations. We present the design and implementation of a platform that supports the knowledge management needs in this environment. We describe the business related...
This work describes the architectural framework of a clinical process management system. It supports the extraction, from textual documents, of ontologies, clinical processes and guidelines and allows their formal description using ontology and workflow representation languages. Clinical processes and guidelines are stored in a knowledge base and classified w.r.t. the concepts contained in the ontologies...
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