Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Methodological Guidelines for Reusing General Ontologies
Year:2013
Research Areas
  • Computer systems
Information
Abstract
Currently, there is a great deal of well-founded explicit knowledge formalizing general notions, such as time concepts and the part_of relation. Yet, it is often the case that instead of reusing ontologies that implement such notions (the so-called general ontologies), engineers create procedural programs that implicitly implement this knowledge. They do not save time and code by reusing explicit knowledge, and devote effort to solve problems that other people have already adequately solved. Consequently, we have developed a methodology that helps engineers to: (a) identify the type of general ontology to be reused; (b) find out which axioms and definitions should be reused; (c) make a decision, using formal concept analysis, on what general ontology is going to be reused; and (d) adapt and integrate the selected general ontology in the domain ontology to be developed. To illustrate our approach we have employed use-cases. For each use case, we provide a set of heuristics with examples. Each of these heuristics has been tested in either OWL or Prolog. Our methodology has been applied to develop a pharmaceutical product ontology. Additionally, we have carried out a controlled experiment with graduated students doing a MCs in Artificial Intelligence. This experiment has yielded some interesting findings concerning what kind of features the future extensions of the methodology should have.
International
Si
JCR
Si
Title
Data & Knowledge Engineering
ISBN
0169-023X
Impact factor JCR
1,519
Impact info
Volume
86
Journal number
From page
242
To page
275
Month
JULIO
Ranking
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS: Q2
Participants
  • Autor: Mariano Fernández López (CEU San Pablo)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Autor: M. Carmen Suarez de Figueroa Baonza (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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