ARCHCOLLECT - A Tool for WEB Usage Knowledge Acquisition from User’s Interactions

Ahmed Ali Abdalla Esmin, Joubert de Castro Lima, Edgar Toshiro Yano, Tiago Garcia de Senna Carneiro

Abstract

This paper presents a low coupled acquisition mechanism focused on users interactions, associated with semantic data. This tool, named ArchCollect, is used for collecting, transforming, loading and displaying user interactions. Its architecture is composed by seven components that gather information coming directly from the user, regardless the user monitored applications. The ArchCollect architecture has a relational model with capacity for keeping important information for two main areas: the commerce with products or services, quantities and prices, and applications with process, quantities, prices and employees. The relational model also added the possibility of obtaining the time spent to serve each user interaction on the application servers and on the ArchCollect servers. In this architecture, data extraction and analysis are performed either by internal algorithms, or by decision support tools, such as OLAP, Data Mining and Statistic.

References

  1. Andromedia Incs Aria, http://www.andromedia.com Chen M.S., Park J.S., Yu P.S. Data Mining for Transversal Patterns in a Web Environment. Proc. of 16th International Conference on Distributed Computing Systems, 1996.
  2. DoubleClick Inc, http://www.doubleclick.com Engage Technologies Inc, ttp://engagetechnologies.com Gomory S., Hoch R., Lee J., Poldlaseck M., Schonberg E. Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Mechandising. IBM Watson Research Center, 1999.
  3. Gomory S., Hoch R., Lee J., Poldlaseck M., Schonberg E. Analysis and Visualization of Metrics for Online Merchandising.IBM Watson Research Center, 1999.
  4. Gomory S., Hoch R., Lee J., Poldlaseck M., Schonberg E. Ecommerce Intelligence: Measuring, Analyzing, and Reporting on Merchandising Effectiveness of Online Stores. IBM Watson Research Center, 1999.
  5. IBM Corps SurfAid, http://surfaid.dfw.ibm.com Kimball Ralph, Merz Richard, Data webhouse tool kit, 2000.
  6. Lee J., Podlaseck M., Schonberg E., Hoch R., and Gomory S. Understanding Merchandising Effectiveness of Online Stores, published in the International Journal of Electronic Commerce and Business Media, January, 2000.
  7. Lima J.C., Carneiro T.G.S., Pagliares R.M., et. Al. ArchCollect: A set of Components directed towards web users' interaction. ICEIS 2003: 308-316.
  8. Lima J.C., Esmin A.A.A., et. Al. ArchCollect Front-End: A Web Usage Data Mining Knowledge Acquisition Mechanism Focused on Static or Dynamic Contenting Applications. ICEIS 2004: 258-262.
  9. Marketwave Corps Hit List, http://www.marketwave.com Media Metrix, http://www.mediametrix.com net.Genesisnet.Analysis, http://www.netgenesis.com NetRating Inc., http://www.netratings.com Oracle 9i Inc., http://oracle.com/oracle9i Rabenhorst, D. Interactive Exploration of Multidimensional Data, Proceedings of The SPIE Symposium on Electronic Imaging. 1994, pp 277-286.
  10. Shahabi C., F. Banaei-Kashani, J. Faruque. 2001. A reliable, eficient, and scalable system for web usage data acquisition. WebKDD'01 Workshop, ACMSIGKDD 2001, San Francisco, CA.
  11. Spiliopoulou Myra and Faukstich Lukas C. WUM: A web utlilization miner, EDBT Workshop WebDB98, Valencia, Spain,1998.
  12. Srivastava Jaideep, Cooley Robert, Deshpande Mukund, Tan Pang-Ning. Web usage minig: Discovery and applications of usage patterns from web data. SIGKDD, January, 2000.
  13. Straight UP!, http://www.straightup.com Wu Kun-Lung, Yu Philip S, and Ballman Allen. SpeedTracer: A web usage mining and analysis tool. IBM Systems Journal,37(1), 1998.
  14. Youness Sakhr. Professional Data Warehousing with SQL Server7.0 and OLAP Services. 2000
Download


Paper Citation


in Harvard Style

Ali Abdalla Esmin A., de Castro Lima J., Toshiro Yano E. and Garcia de Senna Carneiro T. (2008). ARCHCOLLECT - A Tool for WEB Usage Knowledge Acquisition from User’s Interactions . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 375-380. DOI: 10.5220/0001722003750380


in Bibtex Style

@conference{iceis08,
author={Ahmed Ali Abdalla Esmin and Joubert de Castro Lima and Edgar Toshiro Yano and Tiago Garcia de Senna Carneiro},
title={ARCHCOLLECT - A Tool for WEB Usage Knowledge Acquisition from User’s Interactions},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={375-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001722003750380},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - ARCHCOLLECT - A Tool for WEB Usage Knowledge Acquisition from User’s Interactions
SN - 978-989-8111-37-1
AU - Ali Abdalla Esmin A.
AU - de Castro Lima J.
AU - Toshiro Yano E.
AU - Garcia de Senna Carneiro T.
PY - 2008
SP - 375
EP - 380
DO - 10.5220/0001722003750380