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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7192\nWe felt there is no such thing as structured and unstructured data per se, data is data and the only difference is if the data is organized more, or less, structurally, or un-structurally. How about Semi-Structurally? The presentation will discuss a modeling technique which is between structural and un-structural modeling we call Semi-Structural Modeling \nIncreasingly ‘data’ is no longer just a backend IT item we need to know how to organize for the Database, and we need to understand data is, from the outset, intimately close to how humans think, represent and digest, and find a way to narrow or fill the gap in-between the above two\nThe Semi-Structural Modeling we propose particularly focus on letting humans organize the terms (data) they feel most important and of their business interest, technically supported by the modeling technique based on the ISO 704 Terminology Work, and scientifically based on the recent understanding of the human-data cognizance and computing processes \nOur personal experience has shown that this modeling approach would help remove some ambiguity often deeply embedded in the terms used in data definition/requirement, the inefficiency and ineffectiveness in trying to resolve the disagreement on the meaning of the terms either solely un-structurally or structurally, between the business and IT and between the business units.
DTSTART:20150402T083000
SUMMARY:The Semi-Structural Model – A Missing Effort of 'Data Modeling' in Its Broader Sense
DTEND:20150402T091459
LOCATION: See Description
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