Domenico Ursino
Marche Polytechnic University
211 Papers
1.2K Citations
Domenico Ursino is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Computer science & Multi-agent system. The author has an hindex of 25, co-authored 200 publications. Previous affiliations of Domenico Ursino include University of Calabria & Mediterranea University of Reggio Calabria.
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Papers
A Semi-automatic Technique for Constructing a Global Representation of Information Sources Having Different Formats and Structure
Domenico Rosaci,Giorgio Terracina,Domenico Ursino +2 more
- 03 Sep 2001
TL;DR: A semi-automatic technique for constructing a global representation of information sources having different formats and structures, enriched with a global semantic catalogue and a Set of Mappings, encoding the transformations carried out during the construction of the global representation.
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Querying the IoT Using Multiresolution Contexts
TL;DR: A general model for devices’ contexts representing context components at different resolutions (or levels of granularity) enables the definition of a multiresolution context-based algorithm for querying the IoT, according to given preferences and contexts that can be tightened or relaxed depending on the given application goal.
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An Approach to Extracting Thematic Views from Highly Heterogeneous Sources of a Data Lake.
Claudia Diamantini,Paolo Lo Giudice,Lorenzo Musarella,Domenico Potena,Emanuele Storti,Domenico Ursino +5 more
- 01 Jan 2018
TL;DR: A new network-based model to uniformly represent structured, semi-structured and unstructured sources of a data lake is proposed and a new approach to, at least partially, “structure” unstructuring data is presented.
A multi-agent system for efficiently managing query answering in an e-government scenario
Pasquale De Meo,Giovanni Quattrone,Hind Fadil,Domenico Ursino +3 more
- 23 Apr 2006
TL;DR: This paper shows that the exploitation of the Intelligent Agent technology facilitates the search of information on government data sources in such a way to completely and precisely satisfy citizen queries.
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Fine-tuning SalGAN and PathGAN for extending saliency map and gaze path prediction from natural images to websites
TL;DR: In this article , the saliency maps and gaze paths were predicted on natural images and then applied to web pages by applying fine-tuning and other refinements to two existing GAN-based approaches (SalGAN and PathGAN).
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