A Method for Filtering Large Conceptual Schemas

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 u...

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Bibliographic Details
Published inConceptual Modeling – ER 2010 pp. 247 - 260
Main Authors Villegas, Antonio, Olivé, Antoni
Format Book Chapter Publication
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
Springer
SeriesLecture Notes in Computer Science
Subjects
Artificial intelligence
Enginyeria del software
Entity Types
Filtering
Filters and filtration
Importance
Informàtica
Large Schemas
Software engineering
Theoretical computer science
Àrees temàtiques de la UPC
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Summary: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 entity types 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 the measures 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.
ISBN:9783642163722
3642163726
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-16373-9_18