<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tzvetan Semerdjiev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Impact of the MSDF Technologies on the Information Space Structure Reordering and Evolution</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1996</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">75-89</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;A specific view on MSDF technology is proposed as a conceptual model of knowledge mining and processing. All levels of information processing are depicted at a higher level of abstraction and inference. The resulting structure is used for general interpretation of the Information Space that incorporates the common MSDF product-oriented model. Its examination with time lag of twelve years allows to formulate basic tendencies of information space evolution at the &amp;ldquo;zero&amp;rdquo; epistemological level. As a result, automatic MSDF is interpreted in this framework as a self-learning system. The cyclical reverse information space relations are treated in relation to the Cyberspace paradigm. Major principles of information space abstraction and fundamental axioms are formulated.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>