A Text Mining Approach to Tracking Elements of Decision Making: a pilot study

C. Chibelushi, B. Sharp, A. Salter

2004

Abstract

Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems in system engineering projects. The aim of our research is to apply text mining techniques to track elements of decision making and extract semantic associations between decisions, actions and rework. Text mining is similar to data mining: while data mining seeks to discover meaningful patterns implicitly present in data, text mining aims to extract useful information and discovering semantic information hidden in texts. This paper describes work carried out as part of the first phase of our research, and investigates the effectiveness of using the text mining technique of lexical chains to identify important topics in transcribed texts. This research is part of the TRACKER research project which studies rework in system engineering projects.

References

  1. Barzilay, R. & Elhadad, M. 1997, 'Using Lexical Chains for Text Summarization', in Proceedings of the Intelligent Scalable Text Summarization Workshop (ISTS'97), Madrid, Spain.
  2. Boguraev, B.K.& Neff, M.S. 2000. Discourse segmentation in aid of document summarization, in Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, (HICSS) IEEE, Maui, Hawaii, pp.778 - 787.
  3. Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C. & Wirth, R. 2000, 'CRISP-DM 1.0 Step-by-step data mining guide, SPSS Inc, USA.
  4. Ellman, J. & Tait, J. 2000, 'On the Generality of Thesaurally derived Lexical Link', in Proceedings of JADT 2000, the 5th International Conference on the Statistical Analysis of Textual Data, eds. M. Rajman & J.-C. Chappelier, Swiss Federal Institute of Technology, Lausanne, Switzerland. Ecole Polytechnique de Federale Lausanne, Switzerland, pp. 147-154.
  5. Feldman, R. & Hirsh, H. 1996, 'Mining Associations in Text in the Presence of Background Knowledge', in Proceeding of the 2nd International Conference on Knowledge Discovery (KDD-96), Portland.
  6. Fellbaum, C., Palmer, M., Dang, H. T., Delfs, L. & Wolf, S. 2001, 'Manual and automatic semantic annotation with WordNet.78, in Proceedings of the NAACL 2001 Workshop on WordNet and Other Lexical Resources, Pittsburgh.
  7. Green, S. J. 1999, 'Lexical semantics and automatic hypertext construction', in ACM Computing Surveys (CSUR), vol. 31, ACM Press New York, USA.
  8. Halliday, M. & Hasan, R. 1976, Cohesion in English, Longman, London.
  9. Hidalgo, J. M. G., Artificial, D. D. I., Politécnica, E. S. & Madrid, U. E. D. 2002, Text Mining and Internet Content Filtering, Available: [http://www.esi.uem.es/jmgomez/tutorials/ecm], accessed Nov. 2003.
  10. Kazman, R., Hunt, W. & Mantei, M. 1995, 'Dynamic Meeting Annotation and Indexing', in Proceedings of the 1995 Pacific Workshop on Distributed Multimedia Systems, Honolulu, HI, pp.11-18.
  11. Kehagias, A., Fragkou, P. & Petridis, V. 2003, 'Linear Text Segmentation using a Dynamic Programming Algorithm', in Proceedings of 10th Conference of European. Association for Computational Linguistics, Budapest.
  12. Liddy, E. 2000, 'Text Mining', Bulletin of the American Society for Information Science, vol. 27, no. 1, http://www.asis.org/Bulletin/Oct-00/liddy.html.
  13. Minneman, S. & Harrison, S. 1993, 78"Where Were We: Making and Using Near-Synchronous, PreNarrative Video"78, in Proceeding of the ACM Comferense on Multimedia, Toronto, pp. 207 - 214.
  14. Morris, J. & Hirst, G. 1991, 'Lexical Cohesion Computed', Computational Linguistics, vol. 17, no 1, pp. 21-48.
  15. Phillips, M. 1985, 'Aspects of Text Structure: an Investigation of the Lexical Organisation of Text', Elsevier Science Publishers, Amsterdam, Holland.
  16. Rayson, P. 2001, 78 Wmatrix: a web-based corpus processing environment.78 in ICAME 2001 conference, Université Catholique de Louvain, Belgium.
  17. Rayson, P., Sharp, B., Alderson, A., Cartmell, J., Chibelushi, C., Clarke, R., Dix, A., Onditi, V., Quek, A., Ramduny, D., Salter, A., Shah, H., Sommerville, I. & Windridge, P. 2003, 'Tracker: a framework to support reducing rework through decision management', in Proceedings of 5th International Conference on Enterprise Information Systems ICEIS2003, Angers - France, pp. 344 - 351.
  18. Salter, A., Shah, H. & Sharp, B. 2004, 'Reducing Rework in the Development of Information Systems Through the Components of Decisions', in Proceedings of the 6th International Conference on Enterprise Information Systems (ICEIS2004), Portugal.
  19. Sardinha, T. B. 1995, 'The OJ Simpson trial: Connectivity and Consistence', in BAAL Annual meeting, Southampton, UK.
  20. Stokes, N., Carthy, J. & Smeaton, A. F. 2002, 'Segmenting Broadcast News Streams using Lexical Chaining', in STAIRS 2002, Lyons, France, pp. 145-154.
  21. Tan, A. H. 1999, 'Text mining: The state of the art and the challenges', in Proceedings of the Pacific Asia Conf on Knowledge Discovery and Data Mining PAKDD'99 workshop on Knowledge Discovery from Advanced Databases, pp. 65-70.
  22. Weeber, M., Vos, R. & Klein, H. 2001, 'Using concepts in literature-based discovery: Simulating Swanson's Raynaud-Fish oil and Migraine-Magnesium discoveries', Journal of American Society for Information Science and Technology, vol. 52, no. 8, pp. 548-557.
  23. Whittaker, P., Hyland, P. & Wiley, M. 1994, 'Filochart: Handwritten notes Provide access to Recorded Conversations', in Proceeding of the ACM Conference on Human Factors in Computing Systems (CHI'94), Boston, pp. 271 - 277.
Download


Paper Citation


in Harvard Style

Chibelushi C., Sharp B. and Salter A. (2004). A Text Mining Approach to Tracking Elements of Decision Making: a pilot study . In Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004) ISBN 972-8865-05-8, pages 51-63. DOI: 10.5220/0002677000510063


in Bibtex Style

@conference{nlucs04,
author={C. Chibelushi and B. Sharp and A. Salter},
title={A Text Mining Approach to Tracking Elements of Decision Making: a pilot study},
booktitle={Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)},
year={2004},
pages={51-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002677000510063},
isbn={972-8865-05-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)
TI - A Text Mining Approach to Tracking Elements of Decision Making: a pilot study
SN - 972-8865-05-8
AU - Chibelushi C.
AU - Sharp B.
AU - Salter A.
PY - 2004
SP - 51
EP - 63
DO - 10.5220/0002677000510063