Richard Gil

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  • Richard Gil
  • 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)
Semantic engineering is currently being adopted to support the knowledge-management 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(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)
The development of new products 1 is a challenging activity that demands highly flexible and adaptable enterprises. Approaches, such as flexible manufacturing systems (FMS) [1], concurrent engineering (CE) [2] and design for manufacturing (DfM) [3] among others, aim to contribute to this challenge. Nevertheless, these approaches are centered in previously(More)
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)
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)