An Intelligent Context-Aware Decision-Support System Oriented towards Healthcare Support

Author

Manate, Bogdan ; Munteanu, Victor Ion ; Fortis, Teodor Florin ; Moore, Philip T.

Author_Institution

Fac. of Math. & Inf., West Univ. of Timisoara, Timisoara, Romania

fYear

2014

fDate

2-4 July 2014

Firstpage

386

Lastpage

391

Abstract

The Semantic data is regarded as one of the best methods to describe relations between different data sources. The Semantic annotation of data improves the data aggregation methods because the relations are already defined. We have implemented a software prototype using Scala, Apache Jena and the Fuseki database server for handling a context modeled using a dynamic created ontology. For use cases we have used a hospital setting because it is the one of the most dynamic environments.

Keywords

decision support systems; health care; hospitals; multi-agent systems; ontologies (artificial intelligence); Apache Jena; Fuseki database server; Scala; data aggregation methods; data sources; dynamic created ontology; healthcare support; hospital; intelligent context-aware decision-support system; semantic data; software prototype; Biomedical monitoring; Context; Databases; Medical services; Ontologies; Resource description framework; Sensors; context modelling; internet of things; multi-agent system; ontologies;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on

Conference_Location

Birmingham

Print_ISBN

978-1-4799-4326-5

Type

conf

DOI

10.1109/CISIS.2014.54

Filename

6915544