Title :
Ontology Mapping Meta-model Based on Set & Relation Theory
Author :
Qian, Pengfei ; Zhang, Shensheng
Author_Institution :
Dept. of Comput. Sci. & Technol., Shanghai Jiao Tong Univ.
Abstract :
In this paper, we propose to define an ontology mapping meta-model based on set and relation theory, and it is the foundation of managing mappings among heterogeneous ontology models. The ontology mapping meta-model is composed of ontology related elements (OntologyElement, OESet, OESetGroup, GroupDefinitionRule, etc), mapping related elements (Mapping, MappingClassification, MappingDefinitionRule etc). Just because set and relation theory is the theoretical foundation of mapping models, the powerful computation capability of set and relation theory can be used in ontology mapping models computation. Simultaneously, model synchronization among heterogeneous ontology models is also introduced as an ontology mapping model application example. The primary contribution of this paper is to define an ontology mapping meta-model based set and relation theory which can be regarded as the unified mechanism to manage the large number of ontology models and their relationships
Keywords :
ontologies (artificial intelligence); set theory; GroupDefinitionRule; MappingClassification; MappingDefinitionRule; OESet; OESetGroup; OntologyElement; mapping related element; ontology mapping meta-model; relation theory; set theory; Application software; Computational modeling; Computer science; Information management; Information resources; Ontologies; Resource management; Simultaneous localization and mapping; Technology management;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.97