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Streamlining Semantic Integration Systems

Streamlining Semantic Integration Systems

Yannis Kalfoglou, Bo Hu
Copyright: © 2010 |Pages: 24
ISBN13: 9781605668949|ISBN10: 160566894X|ISBN13 Softcover: 9781616923983|EISBN13: 9781605668956
DOI: 10.4018/978-1-60566-894-9.ch005
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MLA

Kalfoglou, Yannis, and Bo Hu. "Streamlining Semantic Integration Systems." Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications, edited by Yannis Kalfoglou, IGI Global, 2010, pp. 83-106. https://doi.org/10.4018/978-1-60566-894-9.ch005

APA

Kalfoglou, Y. & Hu, B. (2010). Streamlining Semantic Integration Systems. In Y. Kalfoglou (Ed.), Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications (pp. 83-106). IGI Global. https://doi.org/10.4018/978-1-60566-894-9.ch005

Chicago

Kalfoglou, Yannis, and Bo Hu. "Streamlining Semantic Integration Systems." In Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications, edited by Yannis Kalfoglou, 83-106. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-894-9.ch005

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Abstract

Yannis Kalfoglou and Bo Hu argue for the use of a streamlined approach to integrate semantic integration systems. The authors elaborate on the abundance and diversity of semantic integration solutions and how this impairs strict engineering practice and ease of application. The versatile and dynamic nature of these solutions comes at a price: they are not working in sync with each other neither is it easy to align them. Rather, they work as standalone systems often leading to diverse and sometimes incompatible results. Hence the irony that we might need to address the interoperability issue of tools tackling information interoperability. Kalfoglou and Hu also report on an exemplar case from the field of ontology mapping where systems that used seemingly similar integration algorithms and data, yield different results which are arbitrary formatted and annotated making interpretation and reuse of the results difficult. This makes it difficult to apply semantic integration solutions in a principled manner. The authors argue for a holistic approach to streamline and glue together different integration systems and algorithms. This will bring uniformity of results and effective application of the semantic integration solutions. If the proposed streamlining respects design principles of the underlying systems, then the engineers will have maximum configuration power and tune the streamlined systems in order to get uniform and well understood results. The authors propose a framework for building such streamlined system based on engineering principles and an exemplar, purpose built system, CROSI Mapping System (CMS), which targets the problem of ontology mapping.

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