An Ontology Selection and Ranking System Based on the Analytic Hierarchy Process.

Adrian GrozaAdrian Groza, Irina DragosteIrina Dragoste, Iulia SincaiIulia Sincai, Ioana JimboreanIoana Jimborean, Vasile MoraruVasile Moraru

ISBN: 978-1-4799-8447-3
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Adrian Groza, Irina Dragoste, Iulia Sincai, Ioana Jimborean, Vasile Moraru
An Ontology Selection and Ranking System Based on the Analytic Hierarchy Process.
In Franz Winkler, Viorel Negru, Tetsuo Ida, Tudor Jebelean, Dana Petcu, Stephen M. Watt, Daniela Zaharie, eds., 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014, Timisoara, Romania, September 22-25, 2014, 293--300, September 2014. IEEE Computer Society

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KurzfassungAbstract
Selecting the desired ontology from a collection of available ones is essential for ontology reuse. We address the problem of evaluating, ranking and selecting ontologies according to user preferences. We exploit the Analytic Hierarchy Process (AHP) to solve the multiple-criteria decision problem and to model the preferences of the users. We use AHP to analyze the available ontologies from different perspectives and at different abstraction levels. The decision is based on the concrete end-node measurements and their relative importance at higher levels. For supporting the selection decision, we developed an ontology representation, reasoning and management system. The system applies different metrics on ontologies in order to feed the Analytic Hierarchy Process with facts. The running scenario applies our method to the task of reusing ontologies from the tourism domain.
Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems

@inproceedings{DBLP:conf/synasc/GrozaDSJM14,
  author    = {Adrian Groza and
               Irina Dragoste and
               Iulia Sincai and
               Ioana Jimborean and
               Vasile Moraru},
  title     = {An Ontology Selection and Ranking System Based on the Analytic Hierarchy
               Process},
  booktitle = {16th International Symposium on Symbolic and Numeric Algorithms for
               Scientific Computing, {SYNASC} 2014, Timisoara, Romania, September
               22-25, 2014},
  pages     = {293--300},
  year      = {2014},
  crossref  = {DBLP:conf/synasc/2014},
  url       = {http://dx.doi.org/10.1109/SYNASC.2014.47},
  doi       = {10.1109/SYNASC.2014.47},
  timestamp = {Tue, 10 May 2016 15:52:09 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/synasc/GrozaDSJM14},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}