Distributed Query Processing in an Ad-Hoc Semantic Web Data Sharing System

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Provided by: University of Otago
Topic: Big Data
Format: PDF
Sharing the semantic web data in proprietary datasets in which data is encoded in Resource Description Framework (RDF) triples in a decentralized environment calls for efficient support from distributed computing technologies. The highly dynamic ad-hoc settings that would be pervasive for semantic web data sharing among personal users in the future, however, pose even more demanding challenges for the enabling technologies. The authors extend previous work on a hybrid P2P architecture for an ad-hoc semantic web data sharing system which better models the data sharing scenario by allowing data to be maintained by its own providers and exhibits satisfactory scalability owing to the adoption of a two-level distributed index and hashing techniques.
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