FerencKovacs    (1IX1)

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. I am interested in the exploitation of my GOLORP research project upper ontology in conjunction with a university or a business.    (2MVQ)

GO-LORP Research Proposal - Scope and objectives    (2MVR)

The scope of this research proposal is to redefine and redesign one item in the group of methods and technologies used to understand the meaning – or "semantics" – of information on the World Wide Web. It is not concerned with the issues of notation and data interchange format, and it would probably make the use of metadata redundant. It is focused on the design of a new ontology language or upper ontology that will allow to access the Web more intelligently in terms of human interface. With the use of such an ontology the Semantic Web will really become as “a web of data that can be processed directly and indirectly by machines .” Directly in this case should mean the use of natural languages. All this boils down to introducing a novel method of the description of concepts, terms, and relationships accross all knowledge domains so that domain ontologies may be integrated and traversed and to overcome the problems recognised in NLP. “Because of the subtleties of human language, high-performance language-capable systems cannot be developed without access to high-quality linguistic and domain knowledge. Unfortunately, the process of gathering and encoding such information by hand is typically tedious and time-consuming; furthermore, the task often requires the aid of human experts. These factors give rise to the knowledge acquisition bottleneck , widely recognized to be one of the biggest obstacles to building sound, general-purpose natural language processing systems.” The elements of ontologies are often called terms or concepts that are based on an old linguistic theory of symbols and meaning that makes it impossible to take inventories of what exists while they are labelled randomly in a natural language. For the same reason it is impossible to find easily any object in a world of chaotic descriptions, where identity of objects is lost in transit. The world is in the state of constant search for objects without an appropriate tool or method – based on an appropriate theory – to do precision search in the world flooded by costly and superfluous data. GOLORP is a core ontology designed to eliminate the problem of documenting knowledge with ambiguous verbal cues, hence a method to offer more focused search on content, whether in data bases, on the Internet, or in libraries and school curricula. Needless to say that in order to do that it will offer an upper ontology model that allows for the integration and not the merging of domain ontologies, and it will see pragmatics and semantics, lingusitic knowledge and lexical knowledge, natural language processing and information retrieval as joint fields.    (2MVS)

http://www.firkasz.com/    (1IX2)