Abstract
Information work involves the frequent (re)use of information objects (e.g. files, web sites, emails) for different tasks. Information reuse is complicated by the scattered organization of information among different locations. Therefore, access support based on recommendations is beneficial. Still, support needs to consider the ad-hoc nature of information work and the resulting uncertainty of information requirements. We present PASTREM, an ontology-based recommender system which proactively proposes information objects for reuse while a user interacts with a computer. PASTREM reflects the ad-hoc nature of information work and allows users to switch seamlessly between recommendations for more multitasking oriented or more focused work. This chapter describes the PASTREM recommender, the used data foundation of interaction histories, data storage in an ontology and the process of recommendation elicitation. PASTREM is evaluated in comparison with other, activity related recommendation approaches for information reuse, namely last recently used, most often used, longest used and semantically related. We report on strength and weaknesses of the approaches and show the benefits of PASTREM as recommender which considers the difference between single task focused and multitasking oriented recommendations.
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Notes
- 1.
PASTREM refers to the supported process: the REMembering of useful information objects which already have been used in the PAST.
- 2.
An example is a priest who contracts a marriage.
- 3.
Dyonipos uses ontologies only to capture events in interaction histories. The classifiers do not extend the ontology.
- 4.
- 5.
From now on and throughout the paper entities that belong to CWO are given without prefix. For all other entities, the respective prefix is given.
References
Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 33(6), 81–749.
Aha, D. W., Kibler, D., & Albert, M. K. (1991). Instance-based learning algorithms. Machine Learning, 6(1), 37–66.
Aral, S., & Brynjolfsson, E. (2007). Information, technology and information worker productivity: task level evidence. Cambridge: National Bureau of Economic Research.
Austin, J. L. (1962). How to do things with words. Cambridge: Harvard University Press.
Barreau, D., & Nardi, B. (1995). Finding and reminding: file organization from the desktop. ACM SIGCHI Bulletin, 27(3), 39–43.
Bergman, O., & Whittaker, S. (2012). How do we find personal files?: the effect of OS, presentation & depth on file navigation. In Proceedings of the 2012 ACM annual conference on human factors in computing systems.
Bergman, O., Tucker, S., Beyth-marom, R., Cutrell, E., & Whittaker, S. (2009). It’s not that important: demoting personal information of low subjective importance using GrayArea.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3(4–5), 993–1022.
Cheyer, A., Park, J., & Giuli, R. (2005). IRIS: integrate, relate. infer. share. DTIC Document.
Czerwinski, M., Horvitz, E., & Wilhite, S. (2004). A diary study of task switching and interruptions. In Proceedings of the SIGCHI.
Farhoomand, B. A. F., & Drury, D. H. (2002). Managerial information overload. Communications of the ACM, 45(10), 127–131.
Gallup and San Jose State University and Park, Institute for the Future in Menlo (1999). Managing corporate communications. In The information age. Stamford: Pitney Bowes.
Gangemi, A., Borgo, S., & Catenacci, C. (2004). Task taxonomies for knowledge content. METOKIS deliverable D.
Gangemi, A., Guarino, N., & Masolo, C. (2002). Sweetening ontologies with DOLCE. In Knowledge engineering and knowledge management: ontologies and the semantic web (pp. 223–233). Berlin: Springer.
González, V. M., & Mark, G. (2004). Constant, constant, multi-tasking craziness: managing multiple working spheres. In Proceedings of the SIGCHI conference on human factors in computing systems (Vol. 6, pp. 113–120). New York: ACM.
Heinrich, G. (2009). Parameter estimation for text analysis (Fraunhofer Technology Report).
Hussein, T., Westheide, D., & Ziegler, J. (2007). Context-adaptation based on ontologies and spreading activation. In Proceedings of ABIS ’07: 15th workshop on adaptivity and user modeling in interactive systems.
Jensen, C., Lonsdale, H., Wynn, E., & Cao, J. (2010). The life and times of files and information: a study of desktop provenance. In Proceedings of the 28th CHI (pp. 767–776). New York: ACM.
Kaptelinin, V. (2003). UMEA: translating interaction histories into project contexts. In Proceedings of the SIGCHI conference on human factors in computing systems (Vol. 5, pp. 353–360). New York: ACM.
Link, H., Lane, T., & Magliano, J. (2005). Models and model biases for automatically learning task switching behavior. In Foundations of augmented cognition (Vol. 5, pp. 510–519). Hillsdale: Erlbaum.
Lokaiczyk, R., Faatz, A., Beckhaus, A., & Goertz, M. (2007). Enhancing just-in-time E-learning through machine learning on desktop context sensors. In Modeling and using context (pp. 330–341). Berlin: Springer.
Makolm, J. (2008). DYONIPOS: proactive knowledge management. In BLED 2008 proceedings (pp. 475–482).
Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A., & Horrocks, I. (2001). WonderWeb deliverable D18. Ontology library (final). WonderWeb project.
Middleton, S. E., Shadbolt, N. R., & Roure, D. C. D. E. (2004). Ontological user profiling in recommender systems. ACM Transactions on Information Systems, 22(1), 54–88.
Morteo, R., Gonzalez, V. M., Favela, J., & Mark, G. (2004). Sphere juggler: fast context retrieval in support of working spheres. In Proceedings of the fifth Mexican international conference in computer science, 2004. ENC 2004 (pp. 361–367).
Nadkarni, P. M., Ohno-Machado, L., & Chapman, W. W. (2011). Natural language processing: an introduction. Journal of the American Medical Informatics Association, 18(5), 544–551.
Oberle, D., Lamparter, S., Grimm, S., & Vrande, D. (2006). Towards ontologies for formalizing modularization and communication in large software systems. In Handbook on ontologies. Berlin: Springer.
Polyanyi, M. (1966). The tacit dimension. London: Routledge & Kegan Paul.
Rath, A., & Weber, N. (2008). Context-aware knowledge services. In Personal Information Management: PIM (pp. 1–11).
Salvucci, D., & Taatgen, N. (2008). Threaded cognition: an integrated theory of concurrent multitasking. Psychological Review, 115(1), 101–130.
Schmidt, B., & Godehardt, E. (2011). Interaction data management. In Knowledge-based and intelligent information and engineering systems. Berlin: Springer.
Schmidt, B., Kastl, J., Stoitsev, T., & Mühlhäuser, M. (2011a). Hierarchical task instance mining in interaction histories. In Proceedings of the 29th annual international conference on design of communication (SIGDOC). New York: ACM.
Schmidt, B., Paulheim, H., Stoitsev, T., & Mühlhäuser, M. (2011b). Towards a formalization of individual work execution at computer workplaces. In Lecture notes in artificial intelligence. Conceptual structures for discovering knowledge (pp. 270–284). Berlin: Springer.
Schmidt, B., Godehardt, E., & Pantel, B. (2012). Visualizing the work process—situation awareness for the knowledge worker. In 3rd IUI workshop on semantic models for adaptive interactive systems (SEMAIS 2012).
Shen, J., Li, L., Dietterich, T. G., & Herlocker, J. L. (2006). A hybrid learning system for recognizing user tasks from desktop activities and email messages. In Proceedings of the 11th international conference on intelligent user interfaces—IUI ’06 (pp. 86–92).
Sproull, L. S. (1984). The nature of managerial attention. In Advances in information processing in organizations (pp. 9–27). London: JAI Press.
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Schmidt, B., Godehardt, E., Paulheim, H. (2013). PASTREM: Proactive Ontology Based Recommendations for Information Workers. In: Hussein, T., Paulheim, H., Lukosch, S., Ziegler, J., Calvary, G. (eds) Semantic Models for Adaptive Interactive Systems. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-5301-6_6
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