3 resultados para Information structures

em University of Washington


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Thesis (Master's)--University of Washington, 2016-06

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This paper argues that in order to systematically comprehend the diversity of information organization frameworks, we must look at how aesthetic concerns and economic concerns manifest in decisions made about designing and deploying work practices, structures, and discourse. In order to do this I construct an analytical rubric borne by a definition of aesthetic and economics pertinent to indexing regimes. I take the position that we need to move into a more descriptive stance on practices of knowledge organization, not only in documentary heritage institutions (libraries, archives, and museums), but also into the cultural and artistic realms. By expanding the scope of inquiry we can interrogate the integrity of my assertion above, namely, that a chief concern in systematically understanding information organization frameworks, lies in understanding how such frameworks wrestle with, and manifest along a spectrum drawn from economic to aesthetic decision-making.

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Knowledge organization in the networked environment is guided by standards. Standards in knowledge organization are built on principles. For example, NISO Z39.19-1993 Guide to the Construction of Monolingual Thesauri (now undergoing revision) and NISO Z39.85- 2001 Dublin Core Metadata Element Set are two standards used in many implementations. Both of these standards were crafted with knowledge organization principles in mind. Therefore it is standards work guided by knowledge organization principles which can affect design of information services and technologies. This poster outlines five threads of thought that inform knowledge organization principles in the networked environment. An understanding of each of these five threads informs system evaluation. The evaluation of knowledge organization systems should be tightly linked to a rigorous understanding of the principles of construction. Thus some foundational evaluation questions grow from an understanding of stan dard s and pr inciples: on what pr inciples is this know ledge organization system built? How well does this implementation meet the ideal conceptualization of those principles? How does this tool compare to others built on the same principles?