A Natural Language Processing for Semantic Web Services

The problem of natural language understanding is one of the first problems researchers in AI were trying to solve, and our brain is the best proof that the problem can be solved. In this paper we propose a model that could be used to describe roughly the process of understanding as it happens in our brain. Using the proposed model we have developed a hierarchical semantic form for the representation of semantics and the corresponding SOUL (space of universal links) learning algorithm. To proof the feasibility of the concept, we have implemented a prototype semantic Web Service, that uses natural language processing t o interpret the conventional, natural language content of traditional Web page and to retrieve the information asked for in natural language as well