TY - GEN
T1 - Towards a methodology to conceptualize the geographic domain
AU - Torres, Miguel
AU - Quintero, Rolando
AU - Levachkine, Serguei
AU - Guzmán, Giovanni
AU - Moreno, Marco
PY - 2008
Y1 - 2008
N2 - To date, there are different ontologies for many domains and applications. Users can access them in order to share information, reuse knowledge and integrate data sources for several purposes such as semantic web, data warehouse, e-learning, e-commerce, 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 a large ontology remains a challenging, time-consuming and error-prone task, since 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. An approach to conceptualizing the geographic domain is described. It is oriented to formalize the geographic domain conceptualization according to specifications from the INEGI. The main goal is to provide semantic and ontological descriptions, which represent the properties and relations that describe the behavior of geographic objects by means of concepts. GEONTO-MET is focused on developing geographic application ontologies for the sharing and integrating of geospatial information.
AB - To date, there are different ontologies for many domains and applications. Users can access them in order to share information, reuse knowledge and integrate data sources for several purposes such as semantic web, data warehouse, e-learning, e-commerce, 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 a large ontology remains a challenging, time-consuming and error-prone task, since 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. An approach to conceptualizing the geographic domain is described. It is oriented to formalize the geographic domain conceptualization according to specifications from the INEGI. The main goal is to provide semantic and ontological descriptions, which represent the properties and relations that describe the behavior of geographic objects by means of concepts. GEONTO-MET is focused on developing geographic application ontologies for the sharing and integrating of geospatial information.
UR - http://www.scopus.com/inward/record.url?scp=57049166974&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-88636-510
DO - 10.1007/978-3-540-88636-510
M3 - Contribución a la conferencia
AN - SCOPUS:57049166974
SN - 3540886354
SN - 9783540886358
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 111
EP - 122
BT - MICAI 2008
T2 - 7th Mexican International Conference on Artificial Intelligence, MICAI 2008
Y2 - 27 October 2008 through 31 October 2008
ER -