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

Jing Zhou, Gregor V. Bochmann, Zhongzhi Shi
2013 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum  
Sharing the Semantic Web data in proprietary datasets in which data is encoded in 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. We extend previous work on a hybrid P2P architecture for an ad-hoc Semantic Web data sharing system
more » ... 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. Additionally, we propose efficient distributed processing of SPARQL queries in such a context and explore optimization techniques that build upon distributed query processing for database systems and relational algebra optimization. We anticipate that our work will become an indispensable, complementary approach to making the Semantic Web a reality by delivering efficient data sharing and reusing in an ad-hoc environment.
doi:10.1109/ipdpsw.2013.53 dblp:conf/ipps/ZhouBS13 fatcat:566c3zwxdvb2dpybqqa3fxd4re