TY - JOUR
T1 - GEONTO-MET
T2 - An approach to conceptualizing the geographic domain
AU - Torres, Miguel
AU - Quintero, Rolando
AU - Moreno-Ibarra, Marco
AU - Menchaca-Mendez, Rolando
AU - Guzman, Giovanni
N1 - Funding Information:
This work was partially sponsored by the Mexican National Polytechnic Institute (IPN), Mexican National Council for Science and Technology (CONACyT) under grant 106692, and Research and Postgraduate Secretary (SIP) under grants 20101282, 20101069, 20101088, 20100371, and 20100417. Additionally, we are thankful to the reviewers for their invaluable and constructive feedback that helped improve the quality of the paper.
PY - 2011/10
Y1 - 2011/10
N2 - To date, there are different ontologies for many domains and applications. Users can access them to share information, reuse knowledge, and integrate data sources for several purposes and applications such as semantic web, data warehousing, e-learning, ecommerce, knowledge representation, and so on. Ontology engineering is rapidly becoming a mature discipline, having produced tools and methodologies for building and managing ontologies. However, even with a clearly defined engineering methodology, building an ontology remains a challenging, time-consuming, and error-prone task, because it forces ontology builders to conceptualize their expert knowledge explicitly and to re-organize it in typical ontological categories such as concepts, properties, and axioms. In this article, an approach to conceptualizing the geographic domain is described. It is oriented toward formalizing a geographic domain conceptualization according to specifications from the Mexican Institute of Statistics, Geography and Informatics. The main goal is to provide semantic and ontological descriptions, which represent the properties and relationships that describe the behavior of geographic objects by means of concepts. GEONTO-MET is focused on developing geographic application ontologies for sharing and integrating geospatial information.
AB - To date, there are different ontologies for many domains and applications. Users can access them to share information, reuse knowledge, and integrate data sources for several purposes and applications such as semantic web, data warehousing, e-learning, ecommerce, knowledge representation, and so on. Ontology engineering is rapidly becoming a mature discipline, having produced tools and methodologies for building and managing ontologies. However, even with a clearly defined engineering methodology, building an ontology remains a challenging, time-consuming, and error-prone task, because it forces ontology builders to conceptualize their expert knowledge explicitly and to re-organize it in typical ontological categories such as concepts, properties, and axioms. In this article, an approach to conceptualizing the geographic domain is described. It is oriented toward formalizing a geographic domain conceptualization according to specifications from the Mexican Institute of Statistics, Geography and Informatics. The main goal is to provide semantic and ontological descriptions, which represent the properties and relationships that describe the behavior of geographic objects by means of concepts. GEONTO-MET is focused on developing geographic application ontologies for sharing and integrating geospatial information.
KW - Axiomatic relation
KW - GEONTO-MET
KW - Geographic domain conceptualization
KW - Ontological description
UR - http://www.scopus.com/inward/record.url?scp=84855723623&partnerID=8YFLogxK
U2 - 10.1080/13658816.2010.539183
DO - 10.1080/13658816.2010.539183
M3 - Artículo
AN - SCOPUS:84855723623
SN - 1365-8816
VL - 25
SP - 1633
EP - 1657
JO - International Journal of Geographical Information Science
JF - International Journal of Geographical Information Science
IS - 10
ER -