Authors:
Joubert de Castro Lima
1
;
Ahmed Ali Abdalla Esmin
1
;
Juvêncio Geraldo de Moura
1
;
Bruno Ferreira
1
and
Tiago Garcia de Senna Carneiro
2
Affiliations:
1
Computer Science College – Facic/Fuom, Brazil
;
2
Federal University of Ouro Preto, Brazil
Keyword(s):
Interactions, Data Warehouses, OLAP
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Internet and Collaborative Computing
;
Intranet and Extranet Business Applications
;
Software Agents and Internet Computing
Abstract:
Knowledge acquisition mechanism is essencial to every Web usage mining project and it can be implemented on the user or on all servers configuration. This paper presents a low coupled acquisition mechanism focused on
users’ interactions, associated with semantic data, binded to almost all markup languages and with monitored application layout independence. This mechanism acquires knowledge only from the Web browser. It separates the requests: one for the monitored application and the other for the server called ArchCollect, and has a parser that automatically inserts the knowledge acquisition mechanism into the static/dynamic user’s page. Like other acquisition mechanisms, the ArchCollect front-end is scalable since it can deal with massive network traffic, adopting scalable ArchCollect servers or scalable internal components. It is efficient since it reduces drastically the preprocessing, sharing this hard activity with all users, and since it makes no log files interpretation or
completation. It is realible since it eliminates browser and server caches problems. This project can collect layout, usage and performance data, providing general application focus, like Srivastava et.al proposed.
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