Implementing Master-Slave P2P Mapping Paradigm in Semantic Enterprise Information Integration: An Illustrative Case Study

Abstract

Master-slave P2P mapping principle proposed in our previous work [ is a semantic P2P mapping paradigm with modularity and loosely coupled characteristics. The intent of this paper is to define a common case study of this paradigm for the semantic information integration. The domain of the case study is a semantic P2P information integration system called SGII[, i.e., system that help in information coordinating and interoperating by orchestrating the content and formalization expression of master-slave P2P mapping between elements from different peer node models which represent the data exposed (shared) by data sources. Furthermore, an illustrative example of master-slave P2P mapping paradigm is given to explain how the mappings are implemented and to demonstrate the paradigm can hence be applied in semantic information integration scenarios.

P2P Mapping Creation by Semantic Discovering and Mapping

“…According to the mapping content of master-slave P2P mapping [1], the mapping between peer model is mainly embodied in mapping between the concepts, properties, relations, between concepts and attributes, between concepts and relations. Obviously, the artificial mapping establishment method is still a time-consuming and labor-intensive process.…”

“…In order to achieve loosely-coupled semantic interoperability and integration of data sources, P2P mapping in P2P data integration system needs to make the following improvements [1] compared with the existing mapping patterns including GAV (Global As View), LAV (Local As View) and GLAV (Global-Local As View) [2]:…”

“…In this context, we have proposed a P2P semantic mapping approach in SGII system [3,4] called master-slave mapping [1] to meet the above requirements in theory. In this paper, we continue to discuss this issue in practice: how to implement the master-slave mapping.…”

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To fully fulfill the modularity and loosely coupled characteristics of P2P semantic mapping paradigm proposed in our previous work [1], a mapping creation method based on semantic discovery is presented to avoid a time-consuming and labor-intensive artificial mapping creation process. This method creates semantic mapping between peer node models by establishing the semantic relations between elements from different peer node models.

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