Antonio d'Acierno

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In this paper we describe a prototype system for information retrieval on the Internet. Our idea is that the Web has to be searched both <i>semantically</i> and <i>syntactically</i>. In order to automatically categorize the web pages <i>on the fly</i> we propose a novel approach based on ontology and semantic networks and we describe a prototype system(More)
Despite the great amount of work done in the last decade, retrieving information of interest from a large multimedia repository still remains an open issue. In this paper, we propose an intelligent browsing system based on a novel recommendation paradigm. Our approach combines usage patters with low-level features and semantic descriptors in order to(More)
The extraordinary technological progress we have witnessed in recent years has made it possible to generate and exchange multimedia content at an unprecedented rate. As a consequence, massive collections of multimedia objects are now widely available to a large population of users. As the task of browsing such large collections could be daunting,(More)
In the classical theory of social choice, a set of voters is called to rank a set of alternatives and a social ranking of the alternatives is generated. In this paper, we model recommendation in the context of browsing systems as a social choice problem, where the set of voters and the set of alternatives both coincide with the set of objects in the data(More)
This paper deals with the parallel implementation of the back-propagation of errors learning algorithm. To obtain the partitioning of the neural network on the processor network the author describes a new mapping scheme that uses a mixture of synapse parallelism, neuron parallelism and training examples parallelism (if any). The proposed mapping scheme(More)
The detection of diseases often can be formalized as a decision problem that typically has to be solved merging uncertain information ; diagnostic tools, intended to aid the physician in interpreting the data, besides attaining the best possible correct classification rate, should furnish some insight into how the problem has been decided. Fuzzy logic is a(More)
In the last few years, recommender systems have gained significant attention in the research community, due to the increasing availability of huge data collections, such as news archives, shopping catalogs, or virtual museums. In this scenario, there is a pressing need for applications to provide users with targeted suggestions to help them navigate this(More)