Abstract
Dimensional situation analytics provides a formal framework to analyze situations from Data Information Knowl-edge Wisdom (DIKW) point of view. To date, the advent of big data driven applications opens up many frontiers in artificial intelligence and computer science, and yet it also raises a series of challenges due to theirs empirical and experimental nature. In particular, to systematically and analytically understand the logical connection through which intelligence and knowledge is derived from data and information deterministically is one of the far-reaching future objectives in computer science. Starting from an earlier result on Dimensional Situation Analytics (DSA), where the initial efforts targeted at the integration of situations and DIKW ontology, this paper brings the prospect of real world applications of DSA into perspective. A good example is UAV path planning for efficient radiation detection and monitoring, which links the pervious result, i.e., the DSA formal framework, with real world experimentation and thereof further explores on the effectiveness and future work for the DSA.
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