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A professional career selection is a complicated process for university student candidates and often little technical tolls are available for who aim to enter to the superior education system, since it is necessary to consider the incidence of a multiplicity of variables to obtain a “satisfactory answer” that comes near to the idea that they have(More)
  • Richard Gil
  • 2015 IEEE/ACM 37th IEEE International Conference…
  • 2015
Self-adaptation has been proposed as a viable solution to alleviate the management burden that is induced by the dynamic nature and increasing complexity of computer systems. In this context, architectural-based self-adaptation has emerged as one of the most promising approaches to automatically manage such systems, resorting to a control loop that includes(More)
Organizations are demanding an efficacious knowledge management. Consequently, they are increasing their system innovation investments to turn information into useful knowledge for decision making obtained from heterogeneous Knowledge Sources (KSOs) such as databases, documents, and even ontologies. Methodological Resources (MRs) for the required knowledge(More)
Semantic engineering is currently being adopted to support the knowledgemanagement processes needed by organizational users for decision-making and task-intensive knowledge activities. Such optional engineering strategies consider that some systems, such as the Knowledge Support System (KSS) fulfill the needs of the knowledge user, by providing the services(More)
The increasing demand of quality information has forced that the methodological resources of system engineering come perfecting gradually. The practical materialization of diverse concepts and relations, are requiring that the semantic technology and ontological engineering obtain all their advance and potential. The University Institutions must be at the(More)
Knowledge representation for specific dominions through ontologies has received great interest, although it is no yet evident an appropriate integration of sub-dominions that contemplate complementary spaces of interpretation. From ontology of dominion of university institutions developed by the authors, it is tried to improve that supported on integration(More)
Ontology Learning (OL) arises as an area to support semantic engineering because it enables to recover and to extract knowledge from the Web documents to improve the development of domain ontologies. One of the most fruitful fields of OL is Artificial Intelligence (AI), since it sustains new methods, techniques and tools, particularly related with Web- and(More)
Adapting to user’s requirements is a key factor for enterprise success. Despite the existence of several approaches that point in this direction, simplifying integration and interoperability among users, suppliers and the enterprise during product lifecycle, is still an open issue. Ontologies have been used in some manufacturing applications and they(More)
Important knowledge can be recovered from relational database (RDB) associated with some information system specific domains and converted to semantics. Studying the processes and Methodological Resources (MR) for this conversion has gained relevance in Knowledge Engineering and, particularly, in the Ontology Learning (OL) field. Such MR, organized in an(More)