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Título:
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A method for filtering large conceptual schemas
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Autor/a:
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Villegas Niño, Antonio; Olivé Ramon, Antoni
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació; Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
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Abstract:
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We focus on the problem of filtering a fragment of the knowledge contained in a large conceptual schema. The problem appears in many information systems development activities in which people need to operate with a piece of the knowledge contained in that schema. We propose a new method in which a user focuses on one or more entitytypes of interest for her task at hand, and the method automatically filters the schema in order to obtain a set of entity and relationship types (and other knowledge) relevant to that task, taking into account the interest of each entity type with respect to the focus, computed from themeasures of importance and closeness of entity types. The method has been implemented in a prototype tool, and it has been experimented with the schema of the osCommerce and the ResearchCyc ontology. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
-Artificial intelligence
-Software engineering
-Theoretical computer science
-Large schemas
-Filters and filtration
-Entity types
-Enginyeria del software |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Objeto de conferencia |
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Editor:
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Springer
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Compartir:
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