期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：56
期号：3
出版社：Journal of Theoretical and Applied
摘要：Database integration technology has been developed for more than 20 years. The difficulties of database integration are the integration of heterogeneous data sources, with respect to the schemas and their data, as well as the query processing time that can take longer than expected. In this study, we present a semantic database integration framework using an integrated mediated and data warehouse approach to search for query words or sentences in a database and determine the accuracy of the search results. This method exploits semantic annotation, which overcomes some of the traditional database integration problems such as syntactic heterogeneity, structural or schematic heterogeneity and semantic heterogeneity. In this approach, semantic annotation is extracted from two types of ontologies, local and global ontology. The former is used to provide semantic annotation of data sources, and the latter is used to provide the shared vocabulary of a particular domain. With the help of domain ontology, the searching process will be more meaningful as it caters for the semantic aspects of a search query. This approach can enhance the efficiency and effectiveness of the search for the desired information.
关键词：Semantic; Database Integration; Local Ontology; Global Ontology; WordNet; SPARQL Query; Warehouse; Mediated
