CONTROLLED EXPERIMENT ON SEARCH ENGINE KNOWLEDGE EXTRACTION CAPABILITIES

Pasquale Ardimento, Danilo Caivano, Teresa Baldassarre, Marta Cimitile, Giuseppe Visaggio

Abstract

Continuous pressure on behalf of enterprises leads to a constant need for innovation. This involves exchanging results of knowledge and innovation among research groups and enterprises in accordance to the Open Innovation paradigm. The technologies that seem to be apparently attractive for exchanging knowledge are Internet and its search engines. Literature provides many discordant opinions on their efficacy, and to our best knowledge, no empirical evidence on the topic. This work starts from the definition of a Knowledge Acquisition Process, and presents a rigorous empirical investigation that evaluates the efficacy of the previous technologies within the Exploratory Search of Knowledge and of Relevant Knowledge according to specific requirements. The investigation has pointed out that these technologies are not effective for Explorative Search. The paper concludes with a brief analysis of other technologies to develop and analyze in order to overcome the weaknesses that this investigation has pointed out within the Knowledge Acquisition Process.

References

  1. Marchionini, G., 2006. Exploratory search: From Finding to Understanding. Communications of the ACM, April, vol. 49, n. 4.
  2. Leighton, H., Srivastava, J., 1997. Precision among WWW search services (search engines): AltaVista, Excite, HotBot, Infoseek and Lycos. Retrieved June 11, 2005 from http://www.winona.edu/library/ webind2.htm/
  3. Gersh, J., Lewis, B., Montemayor, J., Piatko, C., Turner, R, 2006. Supporting insight-based Information Exploration in Intelligence analysis. Communications of the ACM, April,vol. 49, n. 4.
  4. Ryen WW, Kules, B., Drucker, S.M., Schraefel, M.C., 2006. Supporting Exploratory Search. Communications of the ACM, April, vol. 49, n. 4.
  5. Tonchia, S., Turchini. F., Tramontano, A., 2003. Reti organizzative e nuove tecnologie: l'azienda estesa della conoscenza. Gestione d'impresa e innovazione, Il Sole 24 Ore.
  6. Hee-Dong Yang, Mason, R.M., 1998. The Internet, Value Chain Visibility, and Learning. Thirty-First Annual Hawaii International Conference on System Sciences, IEEE, vol. 6, pp. 23 - 32.
  7. Andrews, W., 2003. Visionaries Invade the 2003 Search Engine Magic Quadrant. Gartner Report, April 2003.
  8. Aswath, D., Ahmed, S.T., James D'cunha, Davulcu, H., 2005. Boosting Item Keyword Search with Spreading Activation. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pp. 704 - 707.
  9. Grandal, N., 2001. The Dynamics of Competition in the Internet Search Engine Market. International Journal of Industrial Organization 19, pp. 1103-117.
  10. Dan I. Moldovan and Rada Mihalcea, 2000. Using WorldNet and Lexical Operators to Improve Internet Searches. IEEE Internet Computing, vol. 4, n°1, pp. 34-43.
  11. Zhang, Y.Y., Vasconcelos, W., Sleeman, D., 2004. OntoSearch: An Ontology Search Engine. Proceedings of the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK.
  12. Mingxia, G., Chunnian, L., Furong, C., 2005. An Ontology Search Based on Semantic Analysis. Proceeding of the Third International Coerence on Information Technology and Applications, vol. 1, pp. 256 - 259.
  13. Scoville, R., 1996. Special Report: Find it on the Net!.PC World, January, http://www.pcworld.com/reprints/ lycos.htm/
  14. Leighton, H., Srivastava, J., 1997. Precision among WWW search services (search engines): AltaVista, Excite, HotBot, Infoseek and Lycos. Retrieved June 11, 2005 from http://www.winona.edu/library/ webind2.htm/
  15. Ding, W., Marchionini, G., 1996. A comparative study of the Web search service performance. Proceedings of the ASIS 1996 Annual Conference, vol. 33, pp. 136- 142.
  16. Leighton, H., 1996. Performance of four WWW index services, Lycos, Infoseek, Webcrawler and WWW Worm. Retrieved June 10, 2005 from http:// www.winona.edu/library/webind.htm/
  17. Chu, H., Rosenthal, M., 1996. Search engines for the World Wide Web: a comparative study and evaluation methodology. Electronics proceedings of the ASIS 1996 Annual Conference, October, 33, 127-35.
  18. Clarke, S., Willett, P., 1997. Estimating the recall performance of search engines. ASLIB Proceedings, vol. 49, issue 7, pp. 184-189.
  19. Siegel, S., Castellan, Jr., 1988. Nonparametric statistics for the behavioral sciences. London: McGraw-Hill, 2nd edition.
  20. Basili, V.R., Caldiera, G., Rombach, H.D., 1994. The Experience Factory. Encyclopedia of Software Engineering, Anonymous New York: John Wiley & Sons, pp. 470-476.
  21. Baldassarre, M.T., Visaggio, G., 2008. Description of a Paradigm for Empirical Investigations. Technical Report: http://serlab.di.uniba.it/
  22. Papagelis, A., Zaroliagis, C., 2007. Searchius: A Collaborative Search Engine. Proceedings of Eighth Mexican International Conference on Current Trends in Computer Science, IEEE, pp.88-98.
  23. Al-Nazer, A., Helmy, T., 2007. A Web Searching Guide: Internet Search Engine & Automous Interface Agents Collaboration. International Conferences on Web Intelligence and Intelligent Agent Technology, IEEE, pp. 424-428.
  24. Joachims, T., Radlinsky, F., 2007. Search Engines that Learn from Implicit Feedback. IEEE Computer, vol. 40, n° 8, pp. 34-40.
  25. Choi, Y., Yoo, S., 1998. Multiagents learning approach to WWW information retrieval using neural networks. Proceedings of the Fourth International Conference on Intelligent User Interfaces, Redondo Beach, CA, pp.23-30.
  26. Ardimento, P., Baldassarre, M.T., Cimitile, M., Visaggio, G., 2007A. Empirical Validation on Knowledge Packaging supporting knowledge transfer. Proceedings of 2nd International Conference on Software and Data Technologies, pp. 212-219.
  27. Ardimento, P., Boffoli, N., Cimitile, M., Masone, A., Tammaro, A., 2007B. Empirical investigation on knowledge packaging supporting risk management in software processes. Proceedings of The IASTED International Conference on Software Engineering SE, Innsbruck (Austria), pp. 30-36.
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Paper Citation


in Harvard Style

Ardimento P., Caivano D., Baldassarre T., Cimitile M. and Visaggio G. (2008). CONTROLLED EXPERIMENT ON SEARCH ENGINE KNOWLEDGE EXTRACTION CAPABILITIES . In Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT, ISBN 978-989-8111-51-7, pages 388-395. DOI: 10.5220/0001894603880395


in Bibtex Style

@conference{icsoft08,
author={Pasquale Ardimento and Danilo Caivano and Teresa Baldassarre and Marta Cimitile and Giuseppe Visaggio},
title={CONTROLLED EXPERIMENT ON SEARCH ENGINE KNOWLEDGE EXTRACTION CAPABILITIES},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT,},
year={2008},
pages={388-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001894603880395},
isbn={978-989-8111-51-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 1: ICSOFT,
TI - CONTROLLED EXPERIMENT ON SEARCH ENGINE KNOWLEDGE EXTRACTION CAPABILITIES
SN - 978-989-8111-51-7
AU - Ardimento P.
AU - Caivano D.
AU - Baldassarre T.
AU - Cimitile M.
AU - Visaggio G.
PY - 2008
SP - 388
EP - 395
DO - 10.5220/0001894603880395