The purpose of this paper is to describe a process of Web Mining in order to support specialized e-Knowledge services. Here is proposed a new reference architecture based on an orchestration of reusable building blocks, with well defined tasks and the ability to interoperate among them. The system is designed to support a decision maker in a service-oriented way, by adopting a clear separation of tasks: crawling, pre-processing, information extraction, information retrieval, text mining and presentation of results. It allows the analysis of Web information by extracting, selecting, processing and modelling huge amounts of data, in order to discover rules and patterns in a distributed and heterogeneous content environment of informative resources. Finally, as a case study, the Reputation Management process is presented.
A Web Mining Process for e-Knowledge Services / Castellano, M.; Fiorino, F.; Arcieri, F.; Summo, V.; Bellone de Grecis, G.. - STAMPA. - 37:(2006), pp. 253-264. (Intervento presentato al convegno 7th International Conference on Data, Text and Web Mining and Their Business Application and Management Information Engineering tenutosi a Prague, Czech Republic nel July 11-13, 2006) [10.2495/DATA060261].
A Web Mining Process for e-Knowledge Services
M. Castellano;
2006-01-01
Abstract
The purpose of this paper is to describe a process of Web Mining in order to support specialized e-Knowledge services. Here is proposed a new reference architecture based on an orchestration of reusable building blocks, with well defined tasks and the ability to interoperate among them. The system is designed to support a decision maker in a service-oriented way, by adopting a clear separation of tasks: crawling, pre-processing, information extraction, information retrieval, text mining and presentation of results. It allows the analysis of Web information by extracting, selecting, processing and modelling huge amounts of data, in order to discover rules and patterns in a distributed and heterogeneous content environment of informative resources. Finally, as a case study, the Reputation Management process is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
