NDLI: A Domain Ontology Approach in the ETL Process of Data Warehousing

Content Provider	IEEE Xplore Digital Library
Author	Lihong Jiang Hongming Cai Boyi Xu
Copyright Year	2010
Abstract	Extract-Transform-Loading (ETL) tools integrate data from source side to target in building data warehouse. However data structure and semantic heterogeneity exits widely in the enterprise information systems. On the purpose of eliminate data heterogeneity so as to construct data warehouse, this paper introduces domain ontology into ETL process of finding the data sources, defining the rules of data transformation, and eliminating the heterogeneity. In this method, the domain ontology is embedded in the metadata of the data warehouse. Hence, the data record could be mapped from data bases to ontology classes of Web Ontology Language (OWL). As result, the accessing of information resources could be done more efficiently. The method is testing in a hospital data warehouse project, and the result shows that ontology method plays an important role in the process of data integration by providing common descriptions of the concepts and relationships of data items, and medical domain ontology in the ETL process is of practical feasibility.
Starting Page	30
Ending Page	35
File Size	683978
Page Count	6
File Format	PDF
ISBN	9781424483860
DOI	10.1109/ICEBE.2010.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Semantics Ontologies Data warehouses Data models Domain Ontology Hospital Data Warehouse Data mining ETL Business
Content Type	Text
Resource Type	Article

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