Data fusions, analysis and semantic quality solutions

Data fusions, analysis and semantic quality solutions

Abstract

This document represents the data analysis, data fusion and semantic quality deliverable. Its main objectives are to describe the methods employed to accomplish the data fusions, analysis and semantic quality which are solutions composing the Virtual Individual Model (VIM). A controlled vocabulary has been built with actors of the PRECIOUS project. It provides a common understanding of the data to all partners (users, developers, experts, and health staff), establishes relationships to existing projects and data sources focused on e-health, allows the monitoring and maintaining of quality issues of the vocabulary, harmonizes data from different sensors and input providers, and the usage of a standardized data model for the entire project. Then, a description per domain-knowledge have been proposed to detail the semantic data extraction from low level context such as a semantic analysis of textual data, a food analysis, a heart rate processing, an ambient sensors analysis and a mobile phone sensor data analysis.

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Authors
  • Tanguy, Philippe
  • Lohr, Christophe
  • Ramsauer, Daniela
  • Kalchgruber, Peter
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Shortfacts
Category
Technical Report (Project Report)
Divisions
Multimedia Information Systems
Date
2016
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