We just got a notification that our paper “Towards Enhanced User Interaction to Qualify Web Resources for Higher-Layered Applications” has been awarded. Juppie! Guess we have to think about an extended journal version now… 
Archive for the ‘Documentation’ Category
eL&mL 2010: Best Paper Award
Wednesday, April 7th, 2010IEEE link for DigitalWorld 10 paper…
Wednesday, March 17th, 2010Now the official IEEE link to our last paper about user interaction and information quality is published:
Towards Enhanced User Interaction to Qualify Web Resources for Higher-Layered Applications
By the way, there are some more photos of the conference:
qKAI in Journal On Advances in Intelligent Systems
Wednesday, December 2nd, 2009The International Journal On Advances in Intelligent Systems just posted its new issue (Volume2/Nr2&3). qKAI is part of it with a contribution titled “Utilizing Open Content for Higher-Layered Rich Client Applications” (pp. 303 – 316).
First, we introduce some background regarding the qKAI application framework. In Section 2 follows what we see as prerequisite to utilize Open Content for higher-layered applications. Section 3 gives an overview of the qKAI application frameworks’ system design. Section 4 offers some more details concerning the qKAI hybrid data layer as one system level of the 4-tier design. Section 5 shows further services and components, Section 6 exemplifies use cases and further application scenarios. At least this contribution ends up with a conclusion and future work in Section 7.
Paper about enhanced user interaction and information quality accepted
Thursday, November 12th, 2009The DigitalWorld 2010 (eLmL) accepted our paper “Towards Enhanced User Interaction to Qualify Web Resources for higher-layered applications“.
In this contribution we present our adaption of information quality aspects to qualify Web resources. We selected knowledge-related iq-criteria and take it now as tool to implement iq-mechanisms stepwise into the qKAI framework. We exemplify some criteria of information quality like relevance, accuracy or response time and then derive assessment methods for certain iq-criteria enabling rich, game-based user interaction and semantic resource annotation.