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September 16 - 20, 2018 - Venice, Italy

  • SENSORCOMM 2018, The Twelfth International Conference on Sensor Technologies and Applications
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  • AFIN 2018, The Tenth International Conference on Advances in Future Internet
  • CENICS 2018, The Eleventh International Conference on Advances in Circuits, Electronics and Micro-electronics
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SoftNet 2018
October 14 - 18, 2018 - Nice, France

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NexTech 2018
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DigitalWorld 2019
February 24 - 28, 2019 - Athens, Greece

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May 5 - 9, 2019 - Venice, Italy

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InfoSys 2019
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(to be completed)

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 2, numbers 2 and 3, 2009 // View article intsys_v2_n23_2009_3


Utilizing Open Content for Higher-Layered Rich Client Applications

Authors:
Monika Steinberg
Jürgen Brehm

Keywords: Open Content; Social Semantic Web; Knowledge Engineering; Rich Clients.

Abstract:
Accomplishing user interoperation and standardized web techniques is a promising mixture to build a next generation of web applications in the currently arising Social Semantic Web. Increasing heterogeneous Open Content is an ongoing trend. Generic concepts for higher-layered reuse of the arbitrary information overload - mentioning the Internet of Services - are not covered very well yet. For further, directed use of distributed services and sources, inquiry, interlinking, analysis, machine- and human-interpretable representation are as essential as lightweight user-oriented interoperation and competency in handling. In the following we introduce the qKAI application framework (qualifying Knowledge Acquisition and Inquiry) [1] - a service-oriented, generic and hybrid approach combining knowledge related offers for convenient reuse and tweaking them with interaction for improved access. qKAI aims at closing some residual gaps between the “sophisticated” Semantic Web and “hands-on” Web 2.0 enabling loose-coupled knowledge and information services focused on knowledge life cycles, learning aspects and rich user experience. Overall, in qKAI Open Content is boosted as an inherent part of higher-layered, lightweight applications in knowledge and information transfer via standard tasks of knowledge engineering and augmented user interaction. We introduce the qKAI hybrid data layer - a minimalistic data model with maximized depth - implementation results and some lessons learnt. We discuss the Semantic Web query language SPARQL critically to enlighten its limitations in current web application practice. Acquiring resources and discovering the Web of Data is a massively multithreading part of the qKAI hybrid data layer which serves as basis for further knowledge based tasks. Built upon this data layer, social educational gaming is instanced to simplify interoperation, to spread knowledge in a handy way and to enhance users’ collaboration with Open Content. Attendance is increased through game-based, incentive arrangements following Rich Client paradigms. Long-term objective is to establish Open Content in information and knowledge transfer as utilized knowledge base.

Pages: 303 to 316

Copyright: Copyright (c) to authors, 2009. Used with permission.

Publication date: December 1, 2009

Published in: journal

ISSN: 1942-2679

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