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
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
D. Maynard, Y. Li, и W. Peters. Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge, стр. 107-127. IOS Press, (2008)
W. Maass, и A. Filler. Proceedings of the Workshop on Making Semantics Work For Business (MSWFB 2007), part of 1st European Semantic Technology Conference, Vienna, Austria, стр. 12-17. (2007)
S. Hosain, и H. Jamil. Social Semantic Web: Where Web 2.0 Meets Web 3.0, Papers from the 2009 AAAI Spring Symposium, SS-09-08, стр. 53--58. Menlo Park, CA, AAAI Press, (2009)
A. Hotho, R. Jäschke, C. Schmitz, и G. Stumme. Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, стр. 87-102. Aalborg University Press, (2006)