Ontology Building Based on Two-layer Ontology Model
Tieli Sun, Fengqin Yang, Dapeng Zhang, Lin Yang
Abstract
Tieli Sun, Fengqin Yang, Dapeng Zhang, Lin Yang
Abstract
Ontology offers great potentials as a rich source of information, and has been applied to a wide area like semantic web, digital library, etc. But creating a desirable ontology is still quite challenging. In this paper, we propose a two-layer ontology model (TLOM), and a novel five-step method for ontology building base on TLOM. This method can facilitate the organization and the evolution of ontology.
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Ontology offers great potentials as a rich source of information, and has been applied to a wide area like semantic web, digital library, etc. But creating a desirable ontology is still quite challenging. In this paper, we propose a two-layer ontology model (TLOM), and a novel five-step method for ontology building base on TLOM. This method can facilitate the organization and the evolution of ontology.
Key concepts: Ontology, Ontology-based data integration, Computer science, Upper ontology, Process ontology, Ontology Inference Layer, OWL-S, Suggested Upper Merged Ontology