Title
Personal eHealth Knowledge Spaces though Models, Agents and Semantics.
Abstract
In this paper, we present a web-based platform that generates a Personal eHealth Knowledge Space as an aggregation of several knowledge sources relevant for the provision of individualized personal services. To this end, novel technologies are exploited and demonstrated, such as knowledge on demand to lower the information overload for the end-users, agent-based communication and reasoning to support cooperation and decision making, and semantic integration to provide uniform access to heterogeneous information. All three technologies are combined to create a novel web-based platform allowing seamless user interaction through a portal that supports personalized, granular and secure access to relevant information. We demonstrate the portal and then the aforementioned technologies using real medical scenarios.
Year
DOI
Venue
2014
10.1007/978-3-319-12256-4_31
ADVANCES IN CONCEPTUAL MODELING
Field
DocType
Volume
Data mining,Semantic integration,Information overload,On demand,Computer science,SPARQL,eHealth,Knowledge space,Semantics
Conference
8823
ISSN
Citations 
PageRank 
0302-9743
1
0.45
References 
Authors
3
6
Name
Order
Citations
PageRank
Haridimos Kondylakis132536.63
Dimitris Plexousakis22586326.38
Vedran Hrgovcic3346.85
Robert Woitsch412520.93
Marc Premm5446.96
Michael Schüle682.44