Smart Objects: An Active Big Data Approach

dc.contributor.author Kaisler, Stephen
dc.contributor.author Money, William
dc.contributor.author Cohen, Stephen
dc.date.accessioned 2017-12-28T00:41:00Z
dc.date.available 2017-12-28T00:41:00Z
dc.date.issued 2018-01-03
dc.description.abstract The world of data and information has been steadily evolving due to changes in the expansion of complexity and of the data processed by our systems. Big Data has evolved from data that are numbers and characters conceived and collected by individuals, to unstructured data types collected by a variety of devices. Recent work has postulated that the Big Data evolutionary process is making a conceptual leap to incorporate intelligence.. This paper proposes that Big Data have not yet made a complete evolutionary leap, but rather that a new class of data - a higher level of abstraction is needed to understand and integrate this "intelligence" concept. This paper examines previous definitions, and offers a new definition for Smart Objects (SO) that extends this evolutionary path, examines the basic concept of smart data (is it really exhibiting properties associated with or purported to be intelligence?), and identifies issues and challenges associated with understanding Smart Objects as a new software paradigm. It concludes that Smart Objects incorporate new features and have different properties from passive and inert Big Data.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2018.101
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/49988
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Big Data and Analytics: Pathways to Maturity
dc.subject Big Data, Smart Objects, Autonomous, Self-Reflection, Self-Adaptation
dc.title Smart Objects: An Active Big Data Approach
dc.type Conference Paper
dc.type.dcmi Text
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