Efficient Data Sharing over Large-Scale Distributed Communities

Data sharing in large-scale Peer Data Management Systems (PDMS) is challenging due to the excessive number of data sites, their autonomous nature, and the heterogeneity of their schema. Existing PDMS query applications have difficulty to simultaneously achieve high recall rate and scalability. In this chapter, we propose an ontology-based sharing framework to improve the quality of data sharing and querying over large-scale distributed communities. In particular, we add a semantic layer to the PDMSs, which alleviates the semantic heterogeneity and assists the system to adjust its topology so that semantically related data sources can be connected. Moreover, we propose a comprehensive query routing and optimization Juan Li Department of Computer Science, North Dakota State University, Fargo, USA, e-mail: [email protected] Samee Ullah Khan Department of Electrical and Computer Engineering, North Dakota State University, Fargo, USA, e-mail: [email protected] Qingrui Li Department of Computer Science, North Dakota State University, Fargo, USA,e-mail: [email protected] Nasir Ghani Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, USA, e-mail: [email protected] Nasro Min-Allah Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan, e-mail: [email protected] Pascal Bouvry Faculty of Sciences, Technology and Communications, University of Luxembourg, Luxembourg, e-mail: [email protected] Weiyi Zhang Department of Computer Science, North Dakota State University, Fargo, USA, e-mail: [email protected]