Abstract
Both Enterprises and Public Authorities (PAs) need a continuous and updated flux of reliable data in order to select the better choices. Classical Business Intelligence tools fed with internal data could be augmented with new tools able to extract KPIs of interest from the Raw Web made of unstructured HTML pages and from the Deep Web made of online DBs. The continuous growth of data made available on the web increases intrinsically, year by year, the reliability of this approach. A “Web Intelligence” agents-based framework supporting the evaluation of the effective impact of projects and initiatives has been designed and is currently being developed and tested; the system combines up-to-date indicators obtained via a systematic and high frequency staggered data scraping with lower-rate extraction of data from online data sources. The corresponding model for the management, monitoring and assessment of projects implemented by Enterprises and PAs is also presented.
Work partially supported by Regione Veneto – Direzione Sistemi Informativi.
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Candiello, A., Cortesi, A. (2011). KPIs from Web Agents for Policies’ Impact Analysis and Products’ Brand Assessment. In: Chaki, N., Cortesi, A. (eds) Computer Information Systems – Analysis and Technologies. Communications in Computer and Information Science, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27245-5_24
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DOI: https://doi.org/10.1007/978-3-642-27245-5_24
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