Fabio Benedetti
- Details
- Last Updated on Monday, 14 November 2016 16:45
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Summary
I am Fabio Benedetti, a PhD student of the Doctoral School in ICT of Modena and Reggio Emilia. My research topic regards the study of ontologies in the eHealth domain and now my research effort is focused on the development of LODeX: a tool that produces a highly representative summary of a LOD source. Starting from the URL of a SPARQL Endpoint, the tool launches a set of predefined SPARQL queries and automatically generates a summary of the source. During my Ph.D i discovered a real passion for Data Science. I fed this passion taking some specialization online courses that made me able to work with large amount of data.
Before starting the PhD school I did an internship at Datariver with the goal of reengineering a framework for clinical data management. In July 2012 I obtained the Master Degree in Computer Science and Engineering from the University of Modena and Reggio Emilia. My Degree dissertation was: “Re-engineering of a framework for the management and analysis of clinical data in the form of web application database”. I collaborated with Doxee in a Business Intelligence and Data Integration project. During this period I explored the use of the Pentaho Open Source platform to integrate data coming from different Databases and produce BI reports. Since October 2012 I collaborate in DataRiver research projects.
Projects
LODeX
The Linked Open Data (LOD) Cloud has more than tripled its sources in just three years (from 295 sources in 2011 to 1014 in 2014). While the LOD data are being produced at a increasing rate, LOD tools lack in producing an high level representation of datasets and in supporting users in the exploration and querying of a source. To overcome the above problems and significantly increase the number of consumers of LOD data, we devised a new method and a tool, called LODeX, that promotes the understanding, navigation and querying of LOD sources both for experts and for beginners. It also provides a standardized and homogeneous summary of LOD sources and supports user in the creation of visual queries on previously unknown datasets.
Activities
Tutorial on Sentiment Analysis
A simple project with some script that implement techniques of Sentiment Analysis for the course of Big Data Analysis of the department of engeneering of Modena e Reggio Emilia.
Web Science Summer School - Southampton University (20-26 July 2014)
The School has been characterized by mixture of invited talks and tutorials on several aspects of data science, including data analytics, data publishing and interlinking, social media management, open data, and crowdsourcing.
RDA Research Data Alliance - Member of the Big Data Analytic Interest Group
I won a grant as Early Career Scientist and I have been assigned the Big Data Analytic Interest group. I participated to the RDA Fourth Plenary Meeting 22 - 24 September 2014 in Amsterdam, where I also presented a poster containing my research on Linked Open Data.
Certifications
- M101J: MongoDB for Java Developers
- Health Informatics in the Cloud - Coursera Georgia Institute of Technology
- Introduction to Data Science - Coursera Computer Science & Engineering University Of Washington
- M101P: MongoDB for Developers
- Machine Learning on Coursera
- edX Verified Certificate for Scalable Machine Learning with Spark
- Learning Python for Data Analysis and Visualization (data projects on GitHub)
- Statistical Learning - Stanford Online Course
Publications
- Beneventano, D., Bergamaschi, S., Sorrentino, S., Vincini, M., Benedetti, F. Semantic annotation of the CEREALAB database by the AGROVOC linked dataset (2014) Ecological Informatics. Paper (electronic edition)
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F. Benedetti, S. Bergamaschi, and L. Po, “A visual summary for linked open data sources,” 2014, International Semantic Web Conference (Posters & Demos). online
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F. Benedetti, S. Bergamaschi, and L. Po, “Online index extraction from linked open data sources,” 2014, Linked Data for Information Extraction (LD4IE) Workshop held at International Semantic Web Conference. online
- Fabio Benedetti, Sonia Bergamaschi, and Laura Po. 2015. Visual Querying LOD sources with LODeX. In Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015). paper
- Fabio Benedetti, Sonia Bergamaschi and Laura Po. LODeX: A tool for Visual Querying Linked Open Data. 2015, International Semantic Web Conference (Posters & Demos). paper
- Fabio Benedetti, Sonia Bergamaschi and Laura Po. Exposing the underlying schema of LOD sources. to appear at Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 2015. paper
- Benedetti F, Bergamaschi S. A model for visual building SPARQL queries. SEBD 2016. Paper
- Benedetti F, Beneventano D, Bergamaschi S. Context Semantic Analysis: a knowledge-based technique for computing inter-document similarity. SISAP 2016 (International Conference on Similarity Search and Applications) 164-178 Paper