An ASP-Based Data Integration System

2009 ◽  
pp. 528-534 ◽  
Author(s):  
Nicola Leone ◽  
Francesco Ricca ◽  
Giorgio Terracina
Keyword(s):  
Data Integration ◽  
Integration System ◽  
Data Integration System

scholarly journals DEVELOPMENT OF DATA INTEGRATION SYSTEM FOR GROUND-BASED SPACE WEATHER OBSERVATIONAL FACILITIES

2013 ◽  
Vol 28 (3) ◽  
pp. 65-73 ◽  
Author(s):  
Ji-Hye Baek ◽  
Seonghwan Choi ◽  
Jae-Jin Lee ◽  
Yeon-Han Kim ◽  
Su-Chan Bong ◽  
...  
Keyword(s):  
Data Integration ◽  
Space Weather ◽  
Integration System ◽  
Data Integration System

scholarly journals SNPit: A federated data integration system for the purpose of functional SNP annotation

2009 ◽  
Vol 95 (2) ◽  
pp. 181-189 ◽  
Author(s):  
Terry H. Shen ◽  
Christopher S. Carlson ◽  
Peter Tarczy-Hornoch
Keyword(s):  
Data Integration ◽  
Integration System ◽  
Data Integration System ◽  
Functional Snp

Pattern-Based Schema Mapping and Query Answering in Peer-to-Peer XML Data Integration System

2011 ◽  
pp. 221-246 ◽  
Author(s):  
Tadeusz Pankowski
Keyword(s):  
Data Integration ◽  
Missing Values ◽  
Peer To Peer ◽  
Query Answering ◽  
Functional Dependencies ◽  
Local Data ◽  
Integration System ◽  
Data Integration System ◽  
P2p System ◽  
High Level

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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