This paper presents a data and web mining application able to support decision makers in strategic planning for the growth of a territory. The application provides e-Knowledge services for the analysis of territorial dynamics by processing and modeling huge amount of data, in order to discover rules and patterns in a distributed and heterogeneous content environment. The application is built on an infrastructure of Business Integration, based on Service-Oriented-Architecture, and a virtual private network for the cooperation between Small and Medium Business and Local Government applications. Techniques of crawling and Web Mining are used for the extraction and analysis of unstructured and semi-structured data. For the analysis of structured data, the application covers the whole Knowledge Discovery process. The purpose of the paper is to show how to implement existing techniques in a flexible architecture for providing new added value services. Finally, a case study of Employment Analysis is presented.
A Knowledge Center for a Social and Economic Growth of the Territory / Castellano, M.; Pastore, N.; Arcieri, F.; Summo, V.; de Grecis, G. B.. - STAMPA. - (2005). (Intervento presentato al convegno 38th Annual Hawaii International Conference on System Sciences, HICSS 2005 tenutosi a Big Island, HI nel January 3-6, 2005) [10.1109/HICSS.2005.19].
A Knowledge Center for a Social and Economic Growth of the Territory
M. Castellano;
2005-01-01
Abstract
This paper presents a data and web mining application able to support decision makers in strategic planning for the growth of a territory. The application provides e-Knowledge services for the analysis of territorial dynamics by processing and modeling huge amount of data, in order to discover rules and patterns in a distributed and heterogeneous content environment. The application is built on an infrastructure of Business Integration, based on Service-Oriented-Architecture, and a virtual private network for the cooperation between Small and Medium Business and Local Government applications. Techniques of crawling and Web Mining are used for the extraction and analysis of unstructured and semi-structured data. For the analysis of structured data, the application covers the whole Knowledge Discovery process. The purpose of the paper is to show how to implement existing techniques in a flexible architecture for providing new added value services. Finally, a case study of Employment Analysis is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
