Title :
Research on Ontology-Based Metadata Model
Author :
Jia, Qi ; Guo, ShouZhong ; Chen, HaiYong ; Li, Nan
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
In many researches, one of major challenges is to archive, access, and analyze various heterogeneous databases containing useful information gathered from a large volume of data. Metadata plays a critical role in database integration, so metadata model is put forward which comprises information of data content. Discussion on information integration solves the problem with manipulating the metadata in term of the semantics. An ontology is an explicit specification of the conceptualization of a domain, which allows various entities represented in different data sources to have the same shared semantic meaning. This paper presents and motivates an extended ontology-based metadata model which represents semantic information about concepts explicitly. The model can be used to solve ambiguities that can arise when applications with heterogeneous databases have to interoperate in order to perform a task.
Keywords :
data models; distributed databases; meta data; data content; database integration; explicit specification; extended ontology-based metadata model; heterogeneous database; information integration; ontology based metadata model; semantic information; Automation; Data analysis; Databases; Environmental management; Information analysis; Information science; OWL; Ontologies; Unified modeling language; Vocabulary;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.151