Information vs Knowledge To a machine, knowledge is comprehended information (aka new information produced through the application of deductive reasoning to exiting information). To a machine, information is only data, until it is processed and compr
Clarity regarding controlled vocabularies, taxonomies, thesauri, ontologies, and metamodels. With all the scuttlebut going around about folksonomies and tagging, these are important terms to understand. In the process of tagging, it's pretty noticeable
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D. Knoell, M. Atzmueller, C. Rieder, and K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, ((In Press) 2017)
D. Knoell, M. Atzmueller, C. Rieder, and K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
D. Aumueller, H. Do, S. Massmann, and E. Rahm. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, page 906--908. New York, NY, USA, ACM, (2005)
D. Maynard, Y. Li, and W. Peters. Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge, page 107-127. IOS Press, (2008)