WEB-BI: Business Intelligence and Regenerative Medicine

Tipo di pubblicazione: Articolo in atti di convegno
Tipologia MIUR: Contributo in Atti di Convegno (Proceeding) > Poster
Titolo: WEB-BI: Business Intelligence and Regenerative Medicine
Autori: Apiletti D.; Ardissone V.; Baralis E.; Breganni S.; Cagliero L.; Ciaramella A.; Ciaramella M.; De Bonis S.; Ferrandi C.; Perego G.; Vandoni L.
Autori di ateneo:
Tipo di referee: Tipo non specificato
Titolo del convegno: International Satellite Symposium AICC-GISM
Luogo dell'evento: Brescia
Data dell'evento: 20-22 Novembre 2013
Rilevanza dell'evento: Nazionale
Abstract: The WEB-BI project, co-founded by the Piedmont Region in the context of POR FESR 2007/2013, has the objective to deliver an innovative framework to extract affordable information from web sites. The ICT techniques employed in this framework have been applied in the specific context of Regenerative Medicine, exploring information on therapeutic employment of stem cells and medical products for advanced therapies. The project objectives emerge from the observation that the web contains a huge amount of data, and that converting this data into useful information is a difficult and time consuming task. This is especially true for young research sectors such as Regenerative Medicine. Researchers and professionals working in this field spend a lot of time exploring the web to find new useful information, and relating it to their own knowledge base. Automatic exploration and summarization of web data comes with many problems and obstacles, which include the necessity to deal with multi-linguistic, unstructured and potentially unreliable sources of information. The WEB-BI project applies advanced ICT techniques to solve these problems, and applies Business Intelligence techniques to data extracted from the web, in order to extract statistical information in real-time, and to make available the relevant sources from where this information has been extracted. Instead of exploring the web to gather information of recent trials performed on a specific disease, with WEB-BI one can immediately see how many trials have been performed, where, when, and then read more detailed information of the referred sources. The WEB-BI project has delivered a prototype of the basic tools and techniques that will be later employed to create a publicly available web site, that will provide the following features: - real-time statistical information about trials, published papers, therapies and medical products - automatic digests of clusters of related sources, such as papers published on a specific field of research - direct access to sources of information used to create statistics and digests - exploration of the web to find new relevant sources of information about Regenerative Medicine - automatic evaluation of the affordability of the new sources - natural language processing techniques to extract information from both structured and unstructured documents The WEB-BI research project has been successfully ended in September, 2013, and the involved partners are currently approaching the necessary activities to convert the research result into a product that can be made available to the public
Data: 2013
Status: Pubblicato
Lingua della pubblicazione: Inglese
Parole chiave: multi-document summarization, regenerative medicine, web intelligence
Dipartimenti (originale): DAUIN - Dipartimento di Automatica Informatica
Dipartimenti: DAUIN - Dipartimento di Automatica e Informatica
URL correlate:
    Area disciplinare: Area 09 - Ingegneria industriale e dell'informazione > SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
    Data di deposito: 20 Dic 2013 10:32
    Data ultima modifica (IRIS): 29 Ott 2015 12:08:50
    Data inserimento (PORTO): 17 Gen 2017 12:26
    Permalink: http://porto.polito.it/id/eprint/2523499
    Link resolver URL: Link resolver link

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