A peer-to-peer approach to Geospatial Web Services discovery

Authors:
Ma Xiujun;Li Gang;Xie Kunqing;Shuai Meng
Affiliations:
Peking University, Beijing, China;Chinese Academy of Science, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China
Venue:
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Year:
2006

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Abstract

Geospatial Web Services are data-oriented services, which include a variety of complex data models and metadata. Discovering the appreciate services with related geospatial datasets among a large number of available ones is a key task in the Geospatial Web Services domain. This paper proposes a peer-to-peer (P2P) based approach for discovering geospatial Web Services. We characterize the geospatial Web Services profile as a set of keywords including the metadata attributes, the minimum bounding rectangle (MBR) and the QoS parameters. Differing from the keywords based P2P Web Services discovery approaches, we use the MBR information to cluster and index the services into a kind of Peer R+ tree. With the tree, a P2P system can support complex queries containing partial keywords and spatial querying. The approach has been used in the Beijing Spatial Data Infrastructure project. We implement an peer-to-peer geospatial Web Services discovery system prototype that shows our approach facilitates complex service queries that contains spatial keywords.