Master data

Title: Efficient Projection of Ontologies
Subtitle:
Abstract:

In collaborative and interoperable information systems it is frequently necessary to export a subset of an ontology, in particular to export all instances and axioms subsumed by a shared domain ontology. Technically this can be realized by projecting the Abox axioms of the private instances to the vocabulary of the shared ontology using a reasoner. We show that the direct application of this method results in a very redundant export. Therefore, we propose methods to generate a much smaller equivalent export in an efficient way. These methods are based on a deep analysis of properties of axiom sets that can be used to efficiently filter redundancies during the export process and provide methods to further minimize redundancies in the result. We evaluate the performance and the degree of minimality that can be reached with our approach with standard benchmarking ontologies with large Aboxes and a use case of the bio-medical domain.

Keywords:
Publication type: Article in journal (Authorship)
Publication date: 2015 (Print)
Published by: Journal on Data Semantics
Journal on Data Semantics
to publication
 ( Springer Verlag GmbH; D. Dou, P. De Leenheer )
Title of the series: Journal on Data Semantics
Volume number: 4
Issue: 2
First publication: Yes
Version: -
Page: pp. 103 - 116

Versionen

Keine Version vorhanden
Publication date:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1007/s13740-014-0043-7
Homepage: -
Open access
  • No open access
Publication date: 2015
ISBN: -
ISSN: 1861-2032
Homepage: http://link.springer.com/article/10.1007/s13740-014-0043-7

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 102001 - Artificial intelligence
  • 102010 - Database systems
  • 102015 - Information systems
Research Cluster No research Research Cluster selected
Citation index
  • n.a.
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Information and Communication Systems (ICS)

Cooperations

No partner organisations selected

Articles of the publication

No related publications