The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Analysing HTTP logs of a European DL initiative to maximize usage and usability
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
LogCLEF 2009: the CLEF 2009 multilingual logfile analysis track overview
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Data Mining and Knowledge Discovery
Journal of Web Engineering
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In this paper, a general methodology for gathering and mining information from Web log files is proposed. A series of tools to retrieve, store, and analyze the data extracted from log files have been designed and implemented. The aim is to form general methods by abstracting from the analysis of logs which use a well-defined standard format, such as the Extended Log File Format proposed by W3C. The methodology has been experimented on the Web log files of The European Library portal; the experimental analyses led to personal, technical, geographical and temporal findings about the usage and traffic load. Considerations about a more accurate tracking of users and users profiles, and a better management of crawler accesses using authentication are presented.