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Semantic Web Service (SWS) composition is a challenging AI problem. We describe a theoretical and experimental framework based upon finite model search for constrained object models to address this problem. In many AI situations the input is rather simple, and the results complex to obtain. SWS composition requests themselves can turn very complex, and the problem of building these requests can be...
This paper addresses the problem of supporting the software development process through the artificial intelligence. The expert systems could advise the domain engineer in programming without the detailed experience in programming languages. He will use and integrate, with the help of deductive database and domain knowledge, the previously developed software components to new complex functionalities...
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...
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