Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails

Francois Rauscher, Nada Matta, Hassan Atifi

2015

Abstract

In this paper we propose a Knowledge Traces Retrieval (KTR) system. It addresses the problem of retrieving elements of problem solving and design rationale inside business emails from a project. Even if knowledge management tools and practises are well spread in industry, they are rarely used for small projects. Our system aims at helping user retrieve traces of problem solving knowledge in large corpus of email from a past project. The framework and methodology is based on enhanced context (project data, user competencies and profiles), and use machine learning technics and ranking algorithm.

References

  1. Austin, J. L., 1975. How to do things with words (Vol. 367). Oxford university press.
  2. Baron, N. S., 1998. Letters by phone or speech by other means: The linguistics of email. In Language & Communication, 18(2), pp. 133-170.
  3. Brown, P., Levinson, S.C., 1978. Universals in language usage: politeness phenomena. Question and politeness, ed. by Esther N. Goody. Cambridge: Cambridge University Press.
  4. Carvalho, V. R., and Cohen, W. W., 2005. On the collective classification of email speech acts. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval pp. 345-352.
  5. Carvalho, V. R.., and Cohen, W. W., 2006. Improving email speech acts analysis via n-gram selection. In Proceedings of the HLT-NAACL 2006 Workshop on Analyzing Conversations in Text and Speech (pp. 35- 41). Association for Computational Linguistics.
  6. Conklin, E. J., & Weil, W., 1997. Wicked Problems: Naming the pain in organizations (White Paper): Group Decision Support Systems.
  7. De Felice, R., Deane, P., 2012. Identifying speech acts in emails: Toward automated scoring of the TOEIC® email task. ETS Research Report No. RR-12-16, Princeton.
  8. Dieng, R., Giboin, A., Amergé, C., Corby, O., Després, S., Alpay, L., and Lapalut, S, 1998. Building of a corporate memory for traffic-accident analysis. In AI magazine, 19(4), p.81.
  9. Goffman, E. 1959. The presentation of self in everyday life.
  10. Gospodnetic, O., and Hatcher, E., 2004. Lucene in Action. Manning Publications.
  11. Grundstein, M., 1995. La capitalisation des connaissances de l'entreprise, systèmes de production des connaissances. In Acte du colloque de l 'Entreprise apprenante et les Sciences de la Complexité, Aix-enProvence.
  12. Hardin, L. E., 2002. Problem Solving Concepts and Theories. In Journal of Veterinary Medical Education, 30(3), pp. 227-230.
  13. Harzallah, M., Leclère, M., & Trichet, F., 2002. CommOnCV: modelling the competencies underlying a curriculum vitae. In Proceedings of the 14th international conference on Software engineering and knowledge engineering pp. 65-71.
  14. Herring, S. C., Barab, S., Kling, R., & Gray, J., 2004. An Approach to Researching Online Behavior. Designing for virtual communities in the service of learning, p. 338.
  15. Kalia, A., Motahari Nezhad, H. R., Bartolini, C., & Singh, M., 2013. Identifying business tasks and commitments from email and chat conversations. In tech. report, HP Labs.
  16. Lampert, A., Dale, R., and Paris, C. 2010. Detecting emails containing requests for action. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 984-992). Association for Computational Linguistics.
  17. Matta N., Ermine, J-L., Aubertin, G., Trivin, J., 2002. Knowledge Capitalization with a knowledge engineering approach: the MASK method. Knowledge Management and Organizational Memories, DiengKuntz R., Matta N. (Eds.), Kluwer Academic Publishers.
  18. Matta, N.; Atifi, H.; Sediri, M.; Sagdal, M., 2010. "Analysis of Interactions on Coordination for Design Projects," In Sixth International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), pp.344-347.
  19. Newell, A., Simon, H. A., 1972. Human Problem Solving. New Jersey: Prentice-Hall, Inc.
  20. Pomian, F., 1996. Mémoire d'entreprise, techniques et outils de la gestion du savoir. Sapientia,
  21. Rauscher F., Matta N., Atifi H., 2014. Discovering Problem-Solving Knowledge in Business Emails - Traceability in Software Design Using Computer Mediated Communication in Proceedings of KMIS 2014/IC3K.
  22. Rus, I., & Lindvall, M., 2002. Guest editors' introduction: Knowledge management in software engineering. IEEE software, (3), pp. 26-38.
  23. Salton, G., and Buckley, C., 1988. Term-weighting approaches in Automatic text retrieval. Information processing & management, 24(5), pp. 513-523.
  24. Searle, J. R., 1969. Speech acts: An essay in the philosophy of language (Vol. 626). Cambridge university press.
  25. Scerri, S., Gossen, G., Davis B., and Handschuh S.; 2010. Classifying action items for semantic email. In Proceedings of the 7th Conference on International Language Resources and Evaluation (LREC).
  26. Shum, S. B., 1997. Representing hard-to-formalise, contextualised, multidisciplinary, organisational knowledge. In Proceedings of the AAAI Spring Symposium on Artificial Intelligence in Knowledge Management.
  27. Steels, L., 1993. Corporate knowledge management. In Proceedings of ISMICK 1993, Compiegne.
  28. Tripathi K. and Agrawal M., 2014. Competency Based Management. In Organizational Context: A Literature Review. In Global Journal of Finance and Management. ISSN 0975-6477 Volume 6, Number 4 pp. 349-356.
  29. Van Heijst, G., van der Spek, R., and Kruizinga, E., 1998. The lessons learned cycle. In Information technology for knowledge management. Springer Berlin Heidelberg. pp. 17-34.
  30. Vergnaud, N., Harzallah, M., and Briand, H, 2004. Modèle de gestion intégrée des compétences et connaissances. EGC pp. 159-170.
Download


Paper Citation


in Harvard Style

Rauscher F., Matta N. and Atifi H. (2015). Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015) ISBN 978-989-758-158-8, pages 260-267. DOI: 10.5220/0005640402600267


in Bibtex Style

@conference{kmis15,
author={Francois Rauscher and Nada Matta and Hassan Atifi},
title={Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)},
year={2015},
pages={260-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005640402600267},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)
TI - Hybrid System for Collaborative Knowledge Traceability - An Application to Business Emails
SN - 978-989-758-158-8
AU - Rauscher F.
AU - Matta N.
AU - Atifi H.
PY - 2015
SP - 260
EP - 267
DO - 10.5220/0005640402600267