Demonstrations

Personal eHealth Knowledge Spaces though Models, Agents and Semantics

Haridimos Kondylakis, Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece
Dimitris Plexousakis, Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece
Vedran Hrgovcic, BOC Asset Management GmbH, Operngasse 20B, Vienna, 1040, Austria
Robert Woitsch, BOC Asset Management GmbH, Operngasse 20B, Vienna, 1040, Austria
Marc Premm, Universita╠łt Hohenheim, Information Systems 2 (530 D), 70593 Stuttgart, Germany
Michael Schuele, Universita╠łt Hohenheim, Information Systems 2 (530 D), 70593 Stuttgart, Germany

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 de- mand to lower the information overload for the end-users, agent-based commu- nication and reasoning to support cooperation and decision making, and seman- tic integration to provide uniform access to heterogeneous information. All three technologies are combined to create a novel web-based platform allowing seam- less user interaction through a portal that supports personalized, granular and se- cure access to relevant information. We demonstrate the portal and then the afore- mentioned technologies using real medical scenarios.

 

 

SQTime: Time-enhanced Social Search Querying

Panagiotis Lionakis, Department of Computer Science, University of Crete, Heraklion, Greece
Kostas Stefanidis, Institute of Computer Science, FORTH, Heraklion, Greece
Georgia Koloniari, Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece

Abstract:
In this paper, we present SQTime, a system for social search queries that exploit temporal information available in social networks. Specifically, SQTime introduces different types of queries aiming at sat- isfying information needs from different perspectives. SQTime is built upon a social graph and query model both augmented with time, and develops methods for query processing and time-dependent ranking.

 

 

Lightweight semantic prototyper for conceptual modeling

Gayane Sedrakyan, Katholieke Universiteit Leuven, Department of Decision Sciences and Information Management, Naamsestraat 69, 3000 Leuven
Monique Snoeck, Katholieke Universiteit Leuven, Department of Decision Sciences and Information Management, Naamsestraat 69, 3000 Leuven

Abstract:
While much research work was devoted to conceptual model quality validation techniques, most of the existing tools in this domain focus on syntac- tic quality. Tool support for checking semantic quality (correspondence be- tween the conceptual model and requirements of a domain to be engineered) is largely lacking. This work introduces a lightweight model-driven semantic pro- totyper to test/validate conceptual models. The goal of the tool is twofold: (1) to assist business analysts in validating semantic quality of conceptual business specifications using a fast prototyper to communicate with domain experts; (2) to support the learning perspective of conceptual modeling for less experienced modelers (such as students or novice analysts in their early career) to facilitate their progression to advanced level of expertise. The learning perspective is supported by providing automated feedback that visually links the test results to their causes in the model’s design. The effectiveness of the tool has been con- firmed by means of empirical experimental studies.