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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
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DigitalWorld 2019
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(to be completed)

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 5, numbers 1 and 2, 2012 // View article intsys_v5_n12_2012_15


From Linked Data and Business Intelligence to Executable Reality

Authors:
Vagan Terziyan
Olena Kaykova

Keywords: Business Intelligence; Linked Data; Mixed Reality; Executable Reality; Executable Knowledge; Quality Assurance

Abstract:
This paper presents the concept of “Executable Knowledge”, which is based on Linked Data and in addition to traditional subject-predicate-object semantic triplet model it contains also subject-predicate-query triplets. Actual values for such “executable” properties are supposed to be queried or/and computed whenever requested “on-the-fly” from/by some internal or external information source or computational capability provider at the right time and place according to the dynamic user context. We discussed two possible applications of this concept. One, which we named “Executable Reality”, will enhance emergent (Mobile) Augmented and Mixed Reality concepts within two dimensions: utilization of Linked Data and Business Intelligence on top of it. Executable Reality will provide a real-time context-aware analytics related to various real-life objects selected by the users from their terminals. Other executable knowledge benefits are shown in the context of educational quality assurance and related to personalized online quality evaluation and ranking of various academic resources (people, departments, universities, etc.). It is demonstrated that the special Quality Assurance Portal for higher education may automatically utilize business analytics on top of Linked Data in the form of executable knowledge.

Pages: 194 to 208

Copyright: Copyright (c) to authors, 2012. Used with permission.

Publication date: June 30, 2012

Published in: journal

ISSN: 1942-2679

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