What is it about?

In the domain of IT benchmarking (ITBM), a variety of data and information are collected. Although these data serve as the basis for business analyses, no unified semantic representation of such data yet exists. Consequently, data analysis across different distributed data sets and different benchmarks is almost impossible. This paper presents a system architecture and prototypical implementation for an integrated data management of distributed databases based on a domain-specific ontology.

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Why is it important?

The expected result of this ontology-based approach of knowledge representation and data access is an increase in knowledge and data sharing in this domain, which will enhance existing business analysis methods.

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This page is a summary of: A web-based system architecture for ontology-based data integration in the domain of IT benchmarking, Enterprise Information Systems, May 2017, Taylor & Francis,
DOI: 10.1080/17517575.2017.1329552.
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