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Leveraging Semantic Approximations in Heterogeneous XML Data Sharing Networks: The SUNRISE Approach

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Soft Computing in XML Data Management

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 255))

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Abstract

In recent years, the huge amount of data available from Internet information sources has focused much attention on the sharing of distributed information through P2P and, in line with the Semantic Web vision, through Peer Data Management Systems (PDMSs). On the other hand, XML is with no doubt the most popular data representation and exchange format on the Web and more and more Internet applications are conforming to this de facto standard for data sharing. In this chapter we present SUNRISE (System for Unified Network Routing, Indexing and Semantic Exploration) for XML data sharing.

SUNRISE is a complete PDMS infrastructure aiming at semantic interoperability in heterogeneous networks. Decentralized data sharing is supported by a set of autonomous peers which model their local data through schemas and which are locally connected through semantic mappings. SUNRISE leverages the semantic approximations originating from schemas’ heterogeneity for an effective and efficient organization and exploration of the network. For these purposes, SUNRISE implements soft computing techniques which cluster peers in Semantic Overlay Networks according to their own contents, and promote the routing of queries towards the semantically best directions in the network.

This work is partially supported by the Italian Council co-funded Project NeP4B.

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Authors and Affiliations

  1. DII, University of Modena and Reggio Emilia, via Vignolese 905/b, 41125, Modena, Italy

    Federica Mandreoli, Riccardo Martoglia, Simona Sassatelli & Giorgio Villani

  2. IEITT - BO/CNR, viale Risorgimento 2, 40136, Bologna, Italy

    Federica Mandreoli & Wilma Penzo

  3. DEIS, University of Bologna, viale Risorgimento 2, 40136, Bologna, Italy

    Wilma Penzo

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  1. Federica Mandreoli
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  2. Riccardo Martoglia
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  3. Wilma Penzo
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  4. Simona Sassatelli
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  5. Giorgio Villani
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  1. Northeastern University, Liaoning, China

    Zongmin Ma  & Li Yan  & 

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Mandreoli, F., Martoglia, R., Penzo, W., Sassatelli, S., Villani, G. (2010). Leveraging Semantic Approximations in Heterogeneous XML Data Sharing Networks: The SUNRISE Approach. In: Ma, Z., Yan, L. (eds) Soft Computing in XML Data Management. Studies in Fuzziness and Soft Computing, vol 255. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14010-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-14010-5_12

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