Towards a More Scalable Schema Matching: A Novel Approach

Towards a More Scalable Schema Matching: A Novel Approach

Sana Sellami, Aïcha-Nabila Benharkat, Youssef Amghar
ISBN13: 9781466609068|ISBN10: 1466609060|EISBN13: 9781466609075
DOI: 10.4018/978-1-4666-0906-8.ch002
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MLA

Sellami, Sana, et al. "Towards a More Scalable Schema Matching: A Novel Approach." Technology Integration Advancements in Distributed Systems and Computing, edited by Nik Bessis, IGI Global, 2012, pp. 17-41. https://doi.org/10.4018/978-1-4666-0906-8.ch002

APA

Sellami, S., Benharkat, A., & Amghar, Y. (2012). Towards a More Scalable Schema Matching: A Novel Approach. In N. Bessis (Ed.), Technology Integration Advancements in Distributed Systems and Computing (pp. 17-41). IGI Global. https://doi.org/10.4018/978-1-4666-0906-8.ch002

Chicago

Sellami, Sana, Aïcha-Nabila Benharkat, and Youssef Amghar. "Towards a More Scalable Schema Matching: A Novel Approach." In Technology Integration Advancements in Distributed Systems and Computing, edited by Nik Bessis, 17-41. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0906-8.ch002

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Abstract

With the development and the use of a large variety of DB schemas and ontologies, in many domains (e.g. semantic web, digital libraries, life science, etc), matching techniques are called to overcome the challenge of aligning and reconciling these different interrelated representations. Matching field is becoming a very attractive research topic. In this paper, the authors are interested in studying scalable matching problem. The authors survey the approaches and tools of large scale matching, when a large number of schemas/ontologies and attributes are involved. They attempt to cover a variety of techniques for schema matching called Pair-wise and Holistic. One can acknowledge that this domain is on top of effervescence and scalable matching needs many more advances. Therefore, they propose our scalable schema matching methodology that deals with the creation of a hybrid approach combining these techniques. Their architecture includes a pre-matching approach based on XML schemas decomposition. As shown by their experiments, their proposed methodology has been evaluated and implementing in a PLASMA (Platform for LArge Scale MAtching) prototype.

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