Skip to main content
Article thumbnail
Location of Repository

Using Ontologies to Discover Fact IDs

By Alberto Abelló and Oscar Romero


Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. However, not all of them guarantee the entity identity. Many works have been introduced in the literature for discovering meaningful IDs, but all of them work at the logical or data level and they share some constraints inherent to the kind of approach. Addressing it at the logical level, we may miss some important data dependencies, while the cost to identify data dependencies at the data level may not be affordable. In this paper, we propose an approach for discovering fact IDs from domain ontologies. In our approach, we guide the process at the conceptual level and we introduce a set of pruning rules for improving the performance by reducing the number of ID hypotheses generated and to be verified with data. Finally, we also introduce a simulation over a case study to show the feasibility of our method

Topics: Reengineering, Ontologies
Year: 2011
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.