Title :
Entity-Relationship semantic meta-model based on ontology
Author :
Han, Liquan ; Xu, Jianchao ; Yao, Qing´an
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
Entity-Relationship ideas are commonly used to characterize and design information systems. They use the entity-relationship diagram to display the objects of the system and relationships among them. But the diagram model is not called in running by the program, at the same time entity-attributes belong to a specific entity and is a local definition. Ontology is defined as an explicit formal specification of a shared conceptualization. It can provide semantic meaning through relations between concepts. The paper mainly discusses the Entity-Relationship relationship with ontology, propose a Entity-Relationship semantic meta-model to solve the problem. With the method, ontology is the basic of semantic on entity-relationship diagram, and may catch the commonness among the entity-relationships in the same domain. Finally we describe the prototype of a tool and how it fits with the development methodology.
Keywords :
entity-relationship modelling; formal specification; information systems; ontologies (artificial intelligence); entity-relationship diagram; entity-relationship semantic metamodel; formal specification; information systems; ontology; Computational modeling; Data models; Erbium; Information systems; OWL; Ontologies; Semantics; Semantic meta-model; conceptual modeling; entity-relationship diagram; relational database;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623220