Title
Methodological guidelines for reusing general ontologies.
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.
Year
DOI
Venue
2013
10.1016/j.datak.2013.03.006
Data & Knowledge Engineering
Keywords
Field
DocType
General ontology,Time ontology,Mereology,Ontology reuse,Ontology methodological development,Formal concept analysis
Ontology (information science),Ontology,Ontology-based data integration,Ontology alignment,Data mining,Process ontology,Computer science,Suggested Upper Merged Ontology,Upper ontology,Ontology components,Database
Journal
Volume
Issue
ISSN
86
1
0169-023X
Citations 
PageRank 
References 
12
0.60
26
Authors
3