Lorenzo Genta

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The availability of large collections of linked data that can be accessed through public services and search endpoints requires methods and techniques for reducing the data complexity and providing high-level views of data contents defined according to users specific needs. To this end, a crucial step is the definition of data classification methods and(More)
This paper presents techniques for tailoring linked data exploration by relying on the use of high-level, intuitive organization structures called <i>in</i>Clouds (<i>in</i>formation Clouds). Techniques based on <i>content filtering</i> and <i>relevance filtering</i> are proposed for enabling a user to adjust the <i>in</i>Cloud visualization according to(More)
The development of solutions to effectively browse and explore the huge amount of data actually available in the Linked Data Cloud is getting more and more importance. As a result, automated techniques to generate high-level, concept-based information structures are recently being emerging. The notion of inCloud we proposed is an example in this direction.(More)
In the web of data, similarity recognition is the basis for a variety of resource-consuming activities and applications, including data recommendation, data aggregation, and data analysis. In this paper, we propose HMatch4, a novel instance matching algorithm for similarity recognition, which has been developed on the ground of our experience with HMatch3(More)
In this paper, we present the main achievements of the MI-Search project for " multi-web " information integration around topics relevant for urban users like for example city events and points of interest. In particular, we discuss the results of our experimental evaluation over a considered case study about the city of Milan as well as ongoing/future(More)
In this paper, we present the MI-Search approach for enabling urban users to perform event-centric surfing of a multiplicity of web contents. MI-Search aims at exploiting traditional web sites and spontaneous user comments/posts in an integrated way, by relying on web data extracted from different sources and systems about the events of a selected urban(More)
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