We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
The least mean squares (LMS) algorithm is one of the most popular recursive parameter estimation methods. In its standard form it does not take into account any special characteri...
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
Hypermedia design methods have been proposed for the development of hypermedia and web applications. Nowadays, we face up to another challenge, the Semantic Web, in order to repre...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...