INSYDER — an information assistant for business intelligence

ABSTRACT

The WWW is the most important resource for external business information. This paper presents a tool called INSYDER, an information assistant for finding and analysis business information from the WWW. INSYDER is a system using different agents for crawling the Web, evaluating and visualising the results. These agents, the used visualisations, and a first summary of user studies are presented.

REFERENCES

• 1: C. Ahlberg , E. Wistrand, IVEE: an Information Visualization and Exploration Environment, Proceedings of the 1995 IEEE Symposium on Information Visualization, p.66, October 30-31, 1995, Atlanta, Georgia
• 2: Arisem S.A., http.//www.arisem.com {2000-01-18}
• 3: W. Brenner, IL Zarnekow and H. Wittig. Intelligente Soflwareagenten: Grundlagen und Anwendungen. Heidelberg (Springer-Verlag) 1997.
• 4: Stuart K. Card , Jock D. Mackinlay , Ben Shneiderman, Readings in information visualization: using vision to think, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999
• 5: Stuart K. Card , George G. Robertson , William York, The WebBook and the Web Forager: an information workspace for the World-Wide Web, Proceedings of the SIGCHI conference on Human factors in computing systems: common ground, p.111-ff., April 13-18, 1996, Vancouver, British Columbia, Canada [doi>10.1145/238386.238446]
• 6: J. Cugini, S. Laskowski and C. Piatko. Document Clustering in Concept Space: The NIST Information Retrieval Visualization Engine (NIRVE). http'J/zing.ncs l.nist.gov/cugini/uicd/ce-paper.hlmi {1998- 09-10}.
• 7: D. Eichmann. Ethical Web Agents. Proc. of the The Second WWW Conference. 1994. http.J/www.ncsa.uiuc.cdu/SDG/IT94/Procccdings/Agents/e ichmann.ethical/eichmann.html {2000-01-18}.
• 8: Excite: Information Retrieval Technology and Intelfigent Concept Extraction (TM) Searching. o.O. 1996. http'J/www.excite.com/ice/tech.html {19'-08-25}.
• 9: Richard D. Hackathorn, Web farming for the data warehouse, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1999
• 10: S. Handschuh, T.M. Mann, G. Mussier and H. Rcitemr. Die Entwicklung eines Business Intelligence Systems zur Beschaffung von Gesch.ftsinformationen im WWW. Information Engineering. 1 Kuhlen, W. Semar (eds.). UVK (Konstanz):171-182,1999.
• 11: Marti A. Hearst, TileBars: visualization of term distribution information in full text information access, Proceedings of the SIGCHI conference on Human factors in computing systems, p.59-66, May 07-11, 1995, Denver, Colorado, United States [doi>10.1145/223904.223912]
• 12: M. A. Hearst. User interfaces and visualization., Modern Information Retrieval. IL Baeza-Yates and B. Ribeiro- Nero (eds.). Addison-Wesley (New York): 257-323, 1999.
• 13: M. A. Hearst. The use of categories and clusters for organizing reuieval results. Natural Language Information Retrieval. T. Strzalkowski (eds.). Dordrecht (Kluwer Academic Publisher): 333-374, 1999.
• 14: Scott Henninger , Nicholas J. Belkin, Interface issues and interaction strategies for information retrieval systems, Conference companion on Human factors in computing systems: common ground, p.352-353, April 13-18, 1996, Vancouver, British Columbia, Canada [doi>10.1145/257089.257364]
• 15: http'J/www.software.ibm.conffdata/pubs/papers/bisolutiotff indcx.html {2000-01-18}.
• 16: Jürgen Koenemann , Nicholas J. Belkin, A case for interaction: a study of interactive information retrieval behavior and effectiveness, Proceedings of the SIGCHI conference on Human factors in computing systems: common ground, p.205-212, April 13-18, 1996, Vancouver, British Columbia, Canada [doi>10.1145/238386.238487]
• 17: R. Kuhlen. Die Konsequenzen yon Informationsassistenten. Was bedeutet informationelle Autonomic oder wie kann Vertrauen in elektronische Dienste in offenen Informationsmrkten gesichert werden? Frankfurt (Suhrkamp- Verlag). 1999.
• 18: Thomas M. Mann, Visualization of WWW-Search Results, Proceedings of the 10th International Workshop on Database & Expert Systems Applications, p.264, September 01-03, 1999
• 19: T. M. Mann, H. Reiterer. Case Study: A Combined Visualization Approach for WWW-Search Results. bTRF. Information Visualization Symposium N. Gershon, J. Dill and G. Wills (eds.). 1999 Late Breaking Hot Topics Proc. Supplement to: G. Will, D. Keim (eds.): Proc. 1999 Symposium on Information Visualization (InfoVis99). Conference: San Francisco, CA, USA, October 24-29, 1999. Los Aiamitos, CA (ll.h-. Computer Soc. Press). San Francisco 1999: 59-62. 1999.
• 20: Alexandros Moukas , Pattie Maes, Amalthaea: An Evolving Multi-Agent Information Filtering and Discovery System for the WWW, Autonomous Agents and Multi-Agent Systems, v.1 n.1, p.59-88, 1998 [doi>10.1023/A:1010094506174]
• 21: G. MuBler. Ein Agentensystcm zur Untersttitzung bei dcr Informationssuche im WWW. http'.//wwwdb.informatik. uni-rostock.de/adi99/endversionGM.ps { 1999-10-05}.
• 22: J. Nielsen. Search and You May Find. http-.//www.useit.com/alertbox/970Tu.html {1999-03-18}.
• 23: C. North and B. Shueiderman. Snap-Together Visualization: Coordinating Multiple Views to Explore. University of Maryland. Technical report CS-TR-4020 June 1999.
• 24: M. Pazzani, J. Mutamatsu and D. Billsus. Syskill & Webert: Identifying interesting web sites. Proceedings of the National Conjrence on Artificial Intelhgence. Portland, OR 1996. http'Jlwww.ics.uci.edu/pazzani/ RTF/AAAI.htm {1999-03-26}.
• 25: A. Pollock and A. Hockley. What's Wrong with Internet Searching. D-Lib Magazine, 1997, http'Jlwww.dlib.org/ dlib/march97/bt/03pollock.html {1999 -02 -01}.
• 26: Alan Moore , David Redmond-Pyle, Graphical User Interface Design and Evaluation: A Practical Process, Prentice Hall PTR, Upper Saddle River, NJ, 1995
• 27: hUp-J/salre.iw.nusa.gov/saire.html {2000-01-18}.
• 28: B. Shneiderman, D. Byrd, and W. B. Croft. Clarifying Search: A User-Interface Framework for Text Searches. D- Lib Magazine, 1997, http://www.dlib.org/dlib/ j anuary97/retrieval/01 shneiderman.htnd {1999-08-17}
• 29: Ben Shneiderman , Pattie Maes, Direct manipulation vs. interface agents, interactions, v.4 n.6, p.42-61, Nov./Dec. 1997 [doi>10.1145/267505.267514]
• 30: Alan F. Smeaton , Francis Crimmins, Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library, Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries, p.99-112, September 01-03, 1997
• 31: V. Turau. Web-Roboter. Informatik Spektrum, 21(3): 159- 160, 1998.
• 32: A. Veerusamy and S. B. Navathe. Querying, Navigating and Visualizing a Digital Library Catalog. Proc. DL'95. http'.//www.csdl.tamu.edu/DL95/papers/veerasamy/vcerasa my.html {1999-03-24}.
• 33: Ellen M. Voorhees, Query expansion using lexical-semantic relations, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, p.61-69, July 03-06, 1994, Dublin, Ireland
• 34: E. M. Voorhees and D. K. Harman (eds.): NIST Special Publication 500-242: The Seventh Text Rem'al Conference (TREC- 7) Gaithersburg Maryland (Government Printing Office (GPO)) 1998. http'J/trec.nist.gev/pubs/trec7/t7_proceedings.html {1999- 12-20}.
• 35: M. Wooldridge and N. R. Jennings. Intelfigent Agents: Theory and Practice. Knowledge Engineering Review, 10, 1995 http'Jlwww.elec.qmw.ac.ukldailpeoplelmikewlpubs {1999-11-23}
• 36: Oren Zamir , Oren Etzioni, Web document clustering: a feasibility demonstration, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.46-54, August 24-28, 1998, Melbourne, Australia [doi>10.1145/290941.290956]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software

          Nouns: World Wide Web (WWW)

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
            Subjects: Intelligent agents

General Terms:
Design, Human Factors, Performance

Keywords:
(semi) automated search assistants, UIs&slash;visualization organizing and displaying retieval, results, user studies