Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process

According to the distribution, autonomy and heterogeneity of the university database, we designed the structure, main arithmetic, query distribution device, result processor and wrapper of the university heterogeneous data integration middle ware by using Java, XML and middle ware. We emphasized on introducing the designation of query distribution device, result processor and wrapper.

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The Research of Integration Technology of Heterogeneous Data Sources on Campus

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.160.234 ◽

2012 ◽

Vol 160 ◽

pp. 234-239

Author(s):

Xiao Xiao Liang

Keyword(s):

Information Technology ◽

Information System ◽

Information Systems ◽

Heterogeneous Data ◽

Data Sources ◽

Key Technology ◽

Integration Technology ◽

Heterogeneous Data Sources ◽

Data Source Integration ◽

Data Source

With the deeply development of campus information technology, it needs to store and manage vast amounts of information. However, the information is often stored in different structures of information systems, how to achieve the integration of heterogeneous data sources is the problem to be solved in university information system. In this article, the most commonly used integration technology of heterogeneous data sources is described, and then data source integration patterns which could be used in campus are studied, the design of XML-based integration of heterogeneous data sources and some key technology are in-depth studied.

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Bioinformatics Data Source Integration Based on Semantic Relationships Across Species

Data Mining and Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/11960669_8 ◽

2006 ◽

pp. 78-93 ◽

Cited By ~ 1

Author(s):

Badr Al-Daihani ◽

Alex Gray ◽

Peter Kille

Keyword(s):

Semantic Relationships ◽

Data Source Integration ◽

Data Source

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Integrating Knowledge Sources

International Journal of Knowledge Management ◽

10.4018/jkm.2013010104 ◽

2013 ◽

Vol 9 (1) ◽

pp. 60-75

Author(s):

Hayden Wimmer ◽

Victoria Yoon ◽

Roy Rada

Keyword(s):

Conceptual Model ◽

Conceptual Models ◽

Academic Research ◽

Knowledge Sources ◽

Data Source Integration ◽

Data Source ◽

Disparate Data

There has been a plethora of research in the area of knowledge portals, knowledge warehouses, ontologies, ontology creation and mapping, as well as the automatic creation and mapping of ontologies. While research exists in each respective area there is a lack of conceptual models that will integrate ontologies as a tool for disparate data source integration into knowledge portals or enterprise knowledge warehouses. The purpose of this work is to discuss different tools that have been developed in academic research and provide a conceptual model of how to implement these tools in relation to knowledge portals and warehouses.

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