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Topics in Language Resources for Translation ... - ymerleksi - home

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124 Gerhard Bud<strong>in</strong>basis of directed communication processes, it is still knowledge, either referredto as collective or shared knowledge, or as <strong>in</strong>terpersonal, <strong>in</strong>ter-subjective, orobjective knowledge. In theories of scientific knowledge, the term ‘objectiveknowledge’ was ma<strong>in</strong>ly explicated by Popper (1972) and is the result of regulatedresearch processes such as hypothesis test<strong>in</strong>g, verification, proof, etc.,and that is written down <strong>in</strong> science communication processes. This is the justification<strong>for</strong> libraries to talk about their knowledge repositories <strong>in</strong> the <strong>for</strong>mof books that conta<strong>in</strong> this type of knowledge, i.e., objective knowledge. But asmentioned above, this knowledge is also subjective knowledge <strong>in</strong> researcherswhen they created it and when they communicate about it or when theydissem<strong>in</strong>ate it to others (e.g., <strong>in</strong> teach<strong>in</strong>g).– Complexity: the level of complexity is another factor <strong>in</strong> the transition from<strong>in</strong><strong>for</strong>mation to knowledge. The same processes as on the previous emergencelevel, from data to <strong>in</strong><strong>for</strong>mation, are relevant: condensation of <strong>in</strong><strong>for</strong>mation(summaris<strong>in</strong>g), analysis and <strong>in</strong>terpretation of <strong>in</strong><strong>for</strong>mation gathered, contextualisation(relat<strong>in</strong>g <strong>in</strong><strong>for</strong>mation to concrete problem solv<strong>in</strong>g situations, embedd<strong>in</strong>gand situat<strong>in</strong>g <strong>in</strong><strong>for</strong>mation <strong>in</strong> historical contexts and draw<strong>in</strong>g conclusionsfrom that, correct<strong>in</strong>g (revision of data collections on the basis ofexperience) and categoris<strong>in</strong>g knowledge accord<strong>in</strong>gly.– Life span: the validity of knowledge has to be checked all the time. Aga<strong>in</strong> we arerem<strong>in</strong>ded by Popper that all knowledge is unavoidably hypothetical <strong>in</strong> natureand that no knowledge is certa<strong>in</strong> <strong>for</strong> eternity. There<strong>for</strong>e we constantly have toredef<strong>in</strong>e the criteria by which we evaluate our current knowledge <strong>for</strong> its validity.Another metaphor from nuclear physics is used <strong>for</strong> knowledge, especially<strong>in</strong> scientometrics: the ‘half life’ of knowledge is constantly decreas<strong>in</strong>g, due tothe <strong>in</strong>crease <strong>in</strong> knowledge dynamics, not only <strong>in</strong> science and technology, also<strong>in</strong> <strong>in</strong>dustry, commerce and trade, even <strong>in</strong> culture, the arts, government andpublic sectors, the social sector, etc.In knowledge management, three basic steps <strong>in</strong> deal<strong>in</strong>g with knowledge are dist<strong>in</strong>guished(Nonaka & Takeuchi 1998; Tiwana 2000:71ff., etc.):– Knowledge acquisition: learn<strong>in</strong>g is the key <strong>for</strong> any knowledge managementactivity– Knowledge shar<strong>in</strong>g: the collaborative nature of knowledge is the focus– Knowledge utilisation: knowledge management systems have to allow also <strong>in</strong><strong>for</strong>malknowledge to be dealt with, not only <strong>for</strong>malised knowledge (this isa crucial factor <strong>in</strong> evaluat<strong>in</strong>g knowledge technologies <strong>for</strong> their suitability <strong>in</strong>knowledge management environments.The focus and the real goal of knowledge management are actually directed towardscontent, i.e., not on the <strong>for</strong>mal aspects of comput<strong>in</strong>g, but on what is beh<strong>in</strong>d

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