Abstract
With the advent of information digitization, virtual social networking, and other means of information sharing protocols, today billions of data are available on the World Wide Web from heterogeneous sources. All these data further contribute to the emergence of Big Data gamut. When these data are processed further, we get a glimpse of information which gives some level of understanding on the subject or the matter (person, place, enterprise, etc.). Knowledge is cohesively logically processed related information with the intellect to give us multidimensional information spectrum for decision-making in real time. In today’s global environment, data plays crucial role to understand the social, cultural, behavioral, and demographic attributes of a subject. Knowledge-as-a-Service (KAAS) is a pioneering cloud framework inheriting the “Internet of Things” principles that extract data from various sources in a seamless manner and can further decouple–couple logically processed information based on the “matching chromosome” algorithm. Unified Resource Descriptor (URD) is an innovative information modeling technique that operates over KAAS framework to further publish knowledge on the subject on need basis. Based on this concept, every resource or subject is assigned a unique identifier that can perform multilayered search in the KAAS Database to extract relevant knowledge frames. Considering India’s context, second most populated country in the world, URD can play an indispensable role to tighten information dynamics holistically and accumulate a broader spectrum of knowledge of the resource to address adverse situations (natural calamity, medication, insurance, etc.), business process solution (Banking, BPOs, KPOs, etc.), and research practices.
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Bhattacharya, S. (2018). Unified Resource Descriptor over KAAS Framework. In: Aggarwal, V., Bhatnagar, V., Mishra, D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-10-6620-7_2
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DOI: https://doi.org/10.1007/978-981-10-6620-7_2
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