Search (7 results, page 1 of 1)

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Abstract

It is argued that data should be defined as information on properties of units of analysis. Epistemologically it is important to establish that what is considered data by somebody need not be data for somebody else. This article considers the nature of data and "big data" and the relation between data, information, knowledge and documents. It is common for all these concepts that they are about phenomena produced in specific contexts for specific purposes and may be represented in documents, including as representations in databases. In that process, they are taken out of their original contexts and put into new ones and thereby data loses some or all their meaning due to the principle of semantic holism. Some of this lost meaning should be reestablished in the databases and the representations of data/documents cannot be understood as a neutral activity, but as an activity supporting the overall goal implicit in establishing the database. To utilize (big) data (as it is the case with utilizing information, knowledge and documents) demands first of all the identification of the potentials of these data for relevant purposes. The most fruitful theoretical frame for knowledge organization and data science is the social epistemology suggested by Shera (1951). One important aspect about big data is that they are often unintentional traces we leave during all kinds of activities. Their potential to inform somebody about something is therefore less direct compared to data that have been produced intentionally as, for example, scientific databases.

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Abstract

Scholars have uncovered abundant data about the history of the term "information," as well as some of its many combined phrases (e.g., "information science," "information retrieval," and "information technology"). Many other compounds that involve "information" seem, however, not to have a known origin yet. In this article, further information about the phrase "information storage and retrieval" is provided. Knowing the history of terms and their associated concepts is an important prescription against poor terminological phrasing and theoretical confusion.

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Abstract

Are the terms information organization (IO), organization of information (OI) and information architecture (IA) synonyms for knowledge organization (KO)? This study uses bibliometric methods, among others, to determine some relations between these terms and their meanings. Apparently the data shows that these terms should not be considered synonyms because each of the terms IO, OI, IA and KO produce a different set of high ranked authors, journals and papers. In many cases the terms are, however, used interchangeably (and thus indicating synonymity) and it is argued that the underlying theoretical principles are identical but that the different terms tend to be applied in different contexts: KO in the library context; IA in the web-context and IO and OI in more unspecified ways.

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Pages

S.22-36

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Date

17. 3.2011 19:22:55

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Date

22. 2.2013 11:49:13

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik