Linked Data and Knowledge Graph

Volume 406 of the series Communications in Computer and Information Science pp 90-97

Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization

  • Weijia ShenAffiliated withIBM Research Lab
  • , Guotong XieAffiliated withIBM Research Lab
  • , Kavitha SrinivasAffiliated withIBM Research Lab
  • , Anastasios KementsietsidisAffiliated withIBM Research Lab
  • , Jason EllisAffiliated withIBM Research Lab
  • , Thomas EricksonAffiliated withIBM Research Lab
  • , Kevin McAuliffeAffiliated withIBM Research Lab
  • , Gang HuAffiliated withIBM Research Lab
  • , Wen SunAffiliated withIBM Research Lab

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With many disparate information systems distributed among social and medical care facilities, achieving an integrated social and medical view of people is a huge challenge. We propose a system based on semantic integration that addresses this challenge. It achieves light-weight data integration and navigation via a three-layer architecture: a virtual RDF view layer, a distributed query processing layer and a unified context view layer. This integrates information from disparate systems without cloning data, and also supports data exploration through a novel visualization.