Abstract
Case workers who are involved in knowledge intensive business processes have critical information needs.When dealing with a case, they often need to check how similar case(s) were handled and what best practices, methods and tools proved useful. In this paper, we present our Solution Information Management (SIM) system developed to assist case workers by retrieving and offering targeted and contextual content recommendations to them. In particular, we present a novel method for intelligently weighing different fields in a case when they are used as context to derive recommendations. Experimental results indicate that our approach can yield recommendations that are approximately 15 more precise than those obtained through a baseline approach where the fields in the context have equal weights. SIM is being actively used by case workers in a large IT services company.
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References
Case Management - Combining Knowledge with Process, http://bit.ly/cErahE (accessed: May 29, 2013)
Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39–59 (1994)
Alavi, M., Leidner, D.E.: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly 25(1), 107–136 (2001)
Carbonell, J., Goldstein, J.: The use of mmr, diversity-based reranking for reordering documents and producing summaries. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 335–336. ACM (1998)
Feldman, S., Sherman, C.: The high cost of not finding information. Information Today Inc. (2004)
Gupta, M., Mukherjee, D., Mani, S., Sinha, V.S., Sinha, S.: Serving information needs in business process consulting. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 231–247. Springer, Heidelberg (2011)
IDC. Quantifying Enterprise Search (2002)
Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)
Kim, J., Xue, X., Croft, W.B.: A probabilistic retrieval model for semistructured data. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds.) ECIR 2009. LNCS, vol. 5478, pp. 228–239. Springer, Heidelberg (2009)
Liptchinsky, V., Khazankin, R., Truong, H.-L., Dustdar, S.: A novel approach to modeling context-aware and social collaboration processes. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 565–580. Springer, Heidelberg (2012)
Malone, T.W., Crowston, K., Herman, G.A.: Organizing business knowledge. MIT Press (2003)
McDermott, R.: Why information technology inspired but cannot deliver knowledge management. California Management Review 41(4), 103–117 (1999)
Motahari-Nezhad, H.R., Bartolini, C., Graupner, S., Spence, S.: Adaptive case management in the social enterprise. In: Liu, C., Ludwig, H., Toumani, F., Yu, Q. (eds.) ICSOC 2012. LNCS, vol. 7636, pp. 550–557. Springer, Heidelberg (2012)
Nonaka, I.: A dynamic theory of organizational knowledge creation. Organization Science
Osiriski, S., Stefanowski, J., Weiss, D.: Lingo: Search results clustering algorithm based on singular value decomposition. In: Proceedings of the Intelligent Information Processing and Web Mining, IIPWM, vol. 4, pp. 359–368 (2004)
Reinhardt, W., Schmidt, B., Sloep, P., Drachsler, H.: Knowledge Worker Roles and Actions: Results of Two Empirical Studies. Knowledge and Process Management 18(3), 150–174 (2011)
Rissland, E.L., Daniels, J.J.: A hybrid cbr-ir approach to legal information retrieval. In: Proceedings of the Fifth International Conference on Artificial Intelligence and Law (ICAIL)
Robertson, S., Zaragoza, H., Taylor, M.: Simple bm25 extension to multiple weighted fields. In: Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management, pp. 42–49. ACM (2004)
Song, M., Miller, J.A., Arpinar, I.B.: Repox: An xml repository for workflow designs and specifications. PhD thesis, Citeseer (2001)
Swenson, K.D.: Mastering the Unpredictable. Meghan-Kiffer Press (2010)
Swenson, K.D., Palmer, N., Kemsley, S., et al.: Social BPM. Future Strategies Inc. (2011)
Swenson, K.D., Palmer, N., et al.: How Knowledge Workers Get Things Done. Future Strategies Inc. (2012)
Van der Aalst, W.M., Weske, M., Grünbauer, D.: Case handling: a new paradigm for business process support. Data & Knowledge Engineering 53(2), 129–162 (2005)
Yan, Z., Dijkman, R., Grefen, P.: Business process model repositories–framework and survey. Information and Software Technology 54(4), 380–395 (2012)
Mukherjee, D., et al.: A Case Based Approach to Serve Information Need. Knowledge Intensive Processes. IBM Technical Report (2013)
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Mukherjee, D. et al. (2013). A Case Based Approach to Serve Information Needs in Knowledge Intensive Processes. In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds) Service-Oriented Computing. ICSOC 2013. Lecture Notes in Computer Science, vol 8274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45005-1_44
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DOI: https://doi.org/10.1007/978-3-642-45005-1_44
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