Top-K Query Answering for Probabilistic Data Integration Systems in Pervasive Computing Environment

Author(s):  
Peng Pan ◽  
Qizhong Li ◽  
YuQing Sun ◽  
ZhiYong Chen ◽  
ZhongMin Yan ◽  
...  
2010 ◽  
Vol 25 (3) ◽  
pp. 499-508 ◽  
Author(s):  
Xin Wang ◽  
Lin-Peng Huang ◽  
Yi Zhang ◽  
Xiao-Hui Xu ◽  
Jun-Qing Chen

Author(s):  
James F. Peters ◽  
Tony Szturm ◽  
Maciej Borkowski ◽  
Dan Lockery ◽  
Sheela Ramanna ◽  
...  

Author(s):  
Ratneshwer N/A

In order to develop software components that are reusable across the pervasive computing applications it would be required to consider the variations and properties (mobility, adaptability, composability, context awareness etc.) that may be required for different pervasive computing applications (application types). It should go without saying that various requirements and variations may not always be known a priori and hence developing all the multiple variants may not always be possible or feasible. It is quite unlikely that all the pervasive computing applications would be able to reuse a component ‘as-is’ always. One idea is to use lightweight components such that the overheads (those that are not required in a particular pervasive computing application) do not get transported with the body of the component. Based on this idea, a model of “Generic Component” with ‘Component Generator’ has been proposed that will generate components according to the requirements of a specific pervasive computing application. This work starts a discussion and calls for more extensive research oriented studies by professionals and academicians for perfection of the model.


Author(s):  
Tadeusz Pankowski

This chapter addresses the problem of data integration in a P2P environment, where each peer stores schema of its local data, mappings between the schemas, and some schema constraints. The goal of the integration is to answer queries formulated against a chosen peer. The answer must consist of data stored in the queried peer as well as data of its direct and indirect partners. The chapter focuses on defining and using mappings, schema constraints, query propagation across the P2P system, and query answering in such scenario. Schemas, mappings, constraints (functional dependencies) and queries are all expressed using a unified approach based on tree-pattern formulas. The chapter discusses how functional dependencies can be exploited to increase information content of answers (by discovering missing values) and to control merging operations and propagation strategies. The chapter proposes algorithms for translating high-level specifications of mappings and queries into XQuery programs, and it shows how the discussed method has been implemented in SixP2P (or 6P2P) system.


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