FerencKovacs

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<h2><a name="nid1IX1" id="nid1IX1"></a><a href="http://ontolog.cim3.net/cgi-bin/wiki.pl?FerencKovacs" class="wikiword">FerencKovacs</a>    <a class="nid" title="1IX1" href="#nid1IX1">(1IX1)</a></h2> <p><a name="nid1IX2" id="nid1IX2"></a>see: <a href="http://www.firkasz.com/" class="extlink">http://www.firkasz.com/</a>    <a class="nid" title="1IX2" href="#nid1IX2">(1IX2)</a></p> <p><a name="nid1IX3" id="nid1IX3"></a>I have been in the language business for 30 years acting as a professional translator from Hungarian into English and vice versa. As a by-product of my main engagement in teaching I designed and patented a computer assisted language laboratory which was designed to foster heterogenous group learning and running exams. I also designed a DOS based factual/textual data base management program, the main use of which was to build multilingual dictionaries in a cooperative group work fashion. Recently, I studied a number of disciplines to see how their basic categories may be vetted in terms of the categories used by other disciplines and I found that instead of ontology, we need to have a study of a genesis (Genezistan) that can replace current ontologies and integrate the various disciplines in a different type of dynamic upper level ontology. Since I have found the grains of such a product I have become interested in sharing this knowledge with other people, especially with those who are working to develop MT and TM products. In my view they are mounted on the horse with their face back, and would never succeed using statistical methods or current ontologies for that matter.    <a class="nid" title="1IX3" href="#nid1IX3">(1IX3)</a></p> <p><a name="nid1IX4" id="nid1IX4"></a>My view of the road to Genezistan is summarised as follows:    <a class="nid" title="1IX4" href="#nid1IX4">(1IX4)</a></p> <p><a name="nid1IXA" id="nid1IXA"></a>The solution of the problem of defining a common set of core ontology vocabulary elements and a shared world model will offer a solution to NLP problems for Machine Translation purposes. Besides, a different (dynamic) approach to knowledge representation (query and retrieval languages) for library classification purposes is to emerge as a result of the implementation of a new paradigm to describe the integrated human achievement in the fields of Philosophy, Psychology, Linguistics, Non Formal Logic, Cognitive Science and Computer Science with an aim to have a common understanding of reality. The outline of such an integrated approach called Genezistan is to be presented here soon with examples of how thinking and thought processes may be broken down into smaller chunks of operations tha    <a class="nid" title="1IXA" href="#nid1IXA">(1IXA)</a></p> {nid 1IXC}

= FerencKovacs {nid 1IX1} = see: http://www.firkasz.com/ {nid 1IX2} I have been in the language business for 30 years acting as a professional translator from Hungarian into English and vice versa. As a by-product of my main engagement in teaching I designed and patented a computer assisted language laboratory which was designed to foster heterogenous group learning and running exams. I also designed a DOS based factual/textual data base management program, the main use of which was to build multilingual dictionaries in a cooperative group work fashion. Recently, I studied a number of disciplines to see how their basic categories may be vetted in terms of the categories used by other disciplines and I found that instead of ontology, we need to have a study of a genesis (Genezistan) that can replace current ontologies and integrate the various disciplines in a different type of dynamic upper level ontology. Since I have found the grains of such a product I have become interested in sharing this knowledge with other people, especially with those who are working to develop MT and TM products. In my view they are mounted on the horse with their face back, and would never succeed using statistical methods or current ontologies for that matter. {nid 1IX3} My view of the road to Genezistan is summarised as follows: {nid 1IX4} The solution of the problem of defining a common set of core ontology vocabulary elements and a shared world model will offer a solution to NLP problems for Machine Translation purposes. Besides, a different (dynamic) approach to knowledge representation (query and retrieval languages) for library classification purposes is to emerge as a result of the implementation of a new paradigm to describe the integrated human achievement in the fields of Philosophy, Psychology, Linguistics, Non Formal Logic, Cognitive Science and Computer Science with an aim to have a common understanding of reality. The outline of such an integrated approach called Genezistan is to be presented here soon with examples of how thinking and thought processes may be broken down into smaller chunks of operations that enable us to understand the limited wealth of relations in additions to the open world of objects and and properties - should anyone be interested in the subject on this forum. (The application of John Dewey's disciplined thinking will help to highlight how.) {nid 1IX5} Another area of exploitation of Genezistan is education where the current problems in the various school subjects are not vetted against the concordances of their own individual vocabularies, hence each claiming to describe another chunk of reality as if were different from the ones presented by other science subjects. That could be solved by stepping further from simple subject integration and define one backbone subject with all the traditional subjects as examplary materials to the thinking process. The teaching of new subjects such as critical thinking and reflective thinking are not founded by a proper inclusion of non formal logic and logic operations of dimensions other than truth values, so theyshould be redesigned. {nid 1IXB} At a wider scale information is also evaluated in terms of applicability, promptness, reliability, currentness, relevance, precision and details, to name just a few, and not just in terms of the usual true or false dichotomy. All that is left out from the approach by formal logic to validate knowledge and this is no longer acceptable. {nid 1IX6} Attempts to automate translation processes are based on statistical analysis and processes and a bottom up design principle, whereas the only viable way is a top-down design approach in my view, starting out from foundation ontology. I believe that in current practices at that level basic and very abstract concepts are not properly defined (e.g. event is one of them), while time itself is not present in such models. Objects, Properties and Relations are however a sufficient set to generate a descriptive tool for any natural language that may be used for MT once and for all. {nid 1IX7} The very same set of concepts is suitable for portraying individual and collective knowledge representations that can replace current curricula approach to education and open up an efficient road to teaching fast and forward thinking. And that can become a very lucrative software product too. {nid 1IX8} Anyone interested in co-operation with me? {nid 1IX9}