Authors:
Jorge Santos
1
;
Luís Braga
1
and
Anthony Cohn
2
Affiliations:
1
Instituto Superior de Engenharia, Portugal
;
2
Leeds University, United Kingdom
Keyword(s):
Ontologies, Knowledge engineering, Temporal/Spatial reasoning and representation.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
Humans have a natural ability to reason about scenarios including spatial and temporal information but for several reasons the process of developing complex ontologies including time and/or space is still not well developed and it remains a one-off, labor intensive experience. In this paper we present FONTE (Factorising ONTology Engineering complexity), an ontology engineering methodology that relies on a divide and conquer strategy. The targeted complex ontology will be built by assembling modular ontologies that capture temporal,
spatial and domain (atemporal and aspatial) aspects. In order to support the proposed methodology we developed a plugin for Protégé, one of the most widely used open source ontology editor and knowledge-base framework.