A Tool for Filtering Large Conceptual Schemas

  • Antonio Villegas
  • Maria-Ribera Sancho
  • Antoni Oliv
Conference paper

DOI: 10.1007/978-3-642-24574-9_49

Volume 6999 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Villegas A., Sancho MR., Oliv A. (2011) A Tool for Filtering Large Conceptual Schemas. In: De Troyer O., Bauzer Medeiros C., Billen R., Hallot P., Simitsis A., Van Mingroot H. (eds) Advances in Conceptual Modeling. Recent Developments and New Directions. ER 2011. Lecture Notes in Computer Science, vol 6999. Springer, Berlin, Heidelberg

Abstract

The wealth of knowledge the conceptual schemas of many real-world information systems contain makes them very useful to their potential target audience. However, the sheer size of those schemas makes it difficult to extract knowledge from them. There are many information system development activities in which people needs to get a piece of the knowledge contained in a large conceptual schema. We present an information filtering tool in which a user focuses on one or more entity types of interest for her task at hand, and the tool automatically filters the schema in order to obtain a reduced conceptual schema including a set of entity and relationship types (and other knowledge) relevant to that task.

Keywords

Large Schemas Filtering Entity Types Importance 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Antonio Villegas
    • 1
  • Maria-Ribera Sancho
    • 1
  • Antoni Oliv
    • 1
  1. 1.Department of Service and Information System EngineeringPolytechnic University of CataloniaBarcelonaSpain