Edgardo Ambrosi

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We describe the activity done in the contest of the Grid.it project to access Astronomical Catalogues and Archives through grid environment. Different approaches are tested: job oriented, web service oriented. The crucial aspect of this work is the development and deployment of an IVOA compliant Data Source Engine model in the grid middleware.
We present a method to automatically generate a term-opinion lexicon. We also weight these lexicon terms and use them at real time to boost the ranking with opinionated-content documents. We define very simple models both for opinion-term extraction and document ranking. Both the lexicon model and retrieval model are assessed. To evaluate the quality of the(More)
— In this paper we propose a new architecture for an inferential monitoring and discovery system for Grid. The system supports reasoning activities on a knowledge base formalising the relevant concepts and relevant relationships to a grid computing environment. The current applied Grid Information Index System (GIS) shows infrastructural and technological(More)
— In order for Web services to be able to fully exploit the advantages of dynamic binding, requesting agents must be given a way to select the most " convenient " service at invoke time. Current techniques do not address the problem of selecting services that best fit a requester' needs. In this paper, we propose an extension of the UDDI specification in(More)
The focus of our participation was optimal selection and use of diverse feedback documents. Assuming that the query has a topical structure and that the user is interested only in some query topics and assuming also that only a small amount of feedback information will be made available, the goal was to select topic representatives to be used as feedback(More)
Grid workload management and scheduling enable the efficient distribution of tasks in Grid systems and allow their transparent execution by hiding the complexity of the Grid infrastructure at the fabric layer. We propose an approach to workload management and scheduling that aims at optimizing resource utilization (some optimization criteria are discussed).(More)
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