Abstract
In the knowledge-based economy, organizations often use expert finding systems to identify new candidates or manage information about the current employees. In order to ensure the required level of precision of returned results, the expert finding systems often benefit from semantic technologies and use ontologies in order to represent gathered data. Usage of ontologies however, causes additional challenges connected with the efficiency, scalability as well as the ease of use of a semantic-based solution. Within this paper we present a reasoning scenario applied within the eXtraSpec project and discuss the underlying experiments that were conducted in order to identify the best approach to follow, given the required level of expressiveness of the knowledge representation technique, and other requirements towards the system.
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Abramowicz, W., Bukowska, E., Kaczmarek, M., Starzecka, M.: Semantic-enabled efficient and scalable retrieval of experts. In: International Conference on Information, Process, and Knowledge Management, eKNOW 2011 (2011)
Abramowicz, W., Bukowska, E., Kaczmarek, M., Starzecka, M.: Ontology structure, reasoning approach and querying mechanism in a semantic-enabled efficient and scalable retrieval of experts. International Journal on Advances in Software (accepted for publication, 2012)
Abramowicz, W., Kaczmarek, T., Stolarski, P., Wecel, K., Wieloch, K.: Architektura systemu wyszukiwania ekspertów eXtraSpec. In: Technologie Wiedzy w Zarzadzaniu Publicznym (2010)
Ackerman, M., Wulf, V., Pipek, V.: Sharing Expertise: Beyond Knowledge Management. MIT Press (2002)
Aleman-Meza, B., Bojārs, U., Boley, H., Breslin, J.G., Mochol, M., Nixon, L.J., Polleres, A., Zhdanova, A.V.: Combining RDF Vocabularies for Expert Finding. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 235–250. Springer, Heidelberg (2007)
Apache: (2012), http://lucene.apache.org (last access date: March 22, 2012)
Balog, K., Azzopardi, L., De Rijke, M.: Formal models for expert finding in enterprise corpora. In: Proceedings of the ACM SIGIR, pp. 43–50 (2006)
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web (2001), http:www.scientificamerican.comarticle.cfm?id=the-semantic-web (May 20, 2009)
Burstein, F.: Systems development in information systems research. In: Research Methods for Students and Professionals: Information Management and Systems, 2nd edn., vol. 2, pp. 147–158. Centre for Information Studies, Charles Sturt University, Wagga Wagga, Australia (2002)
Campbell, C.S., Maglio, P.P., Cozzi, A., Dom, B.: Expertise identification using email communications. In: CIKM 2003: Proceedings of the Twelfth International Conference on Information and Knowledge Management, pp. 528–321. ACM Press (2003)
Dentler, K., Cornet, R., Ten Teije, A., De Keizer, N.: Comparison of reasoners for large ontologies in the owl 2 el profile. Semantic Web Journal 1(2), 1–5 (2011) (to appear), http://www.semantic-web-journal.net
Dorn, J., Naz, T., Pichlmair, M.: Ontology development for human resource management. In: Proceedings of 4th International Conference on Knowledge Management. Series on Information and Knowledge Management, pp. 109–120 (2007)
Fang, H., Zhai, C.: Probabilistic Models for Expert Finding. In: Amati, G., Carpineto, C., Romano, G. (eds.) ECiR 2007. LNCS, vol. 4425, pp. 418–430. Springer, Heidelberg (2007)
Goczyła, K., Grabowska, T., Waloszek, W., Zawadzki, M.: The Knowledge Cartography – A New Approach to Reasoning over Description Logics Ontologies. In: Wiedermann, J., Tel, G., Pokorný, J., Bieliková, M., Štuller, J. (eds.) SOFSEM 2006. LNCS, vol. 3831, pp. 293–302. Springer, Heidelberg (2006)
Gruber, T.: Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computation Studies 43, 907–928 (1995)
Gómez-Pérez, A., Ramírez, J., Villazón-Terrazas, B.: An Ontology for Modelling Human Resources Management Based on Standards. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 534–541. Springer, Heidelberg (2007)
Haarslev, V., Möller, R.: Racer: An owl reasoning agent for the semantic web. In: Proc. Int’l Wkshp on Applications, Products and Services of Web-based Support Systems (Held at 2003 IEEE/WIC Int’l Conf. on Web Intelligence), pp. 91–95. Society Press (2003)
Hawking, D.: Challenges in enterprise search. In: Proceedings of the 15th Australasian Database Conference, ADC 2004, vol. 27, pp. 15–24. Australian Computer Society, Inc., Darlinghurst (2004)
Kautz, H., Selman, B., Milewski, A.: Agent amplified communication. In: Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI 1996), pp. 3–9 (1996)
Krulwich, B., Burkey, C.: Contactfinder agent: answering bulletin board questions with referrals. In: Proceedings of the National Conference on Artificial Intelligence, pp. 10–15 (1996)
McDonald, D.W., Ackerman, M.S.: Expertise recommender: a flexible recommendation system and architecture. In: CSCW 2000: Proceedings of the 2000 ACM Conference on Computer Supported Cooperative Work, pp. 231–240. ACM Press (2000)
Metze, F., Bauckhage, C., Alpcan, T.: The ”spree” expert finding system. In: Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), pp. 551–558. IEEE Computer Society (2007)
Michalski, R., Palus, S., Kazienko, P.: Matching Organizational Structure and Social Network Extracted from Email Communication. In: Abramowicz, W. (ed.) BIS 2011. LNBIP, vol. 87, pp. 197–206. Springer, Heidelberg (2011)
Navigli, R., Velardi, P.: An analysis of ontology-based query expansion strategies. In: Workshop on Adaptive Text Extraction and Mining, Cavtat Dubrovnik, Croatia, September 23 (2003)
OECD. The knowledge-based economy. General Distribution, OCDE/GD(96)102 (1996) (retrieved), http://www.oecd.org/dataoecd/51/8/1913021.pdf
OWL (2012), http://www.w3.org/TR/2004/REC-owl-features-20040210/ (last access date: March 22, 2012)
Petkova, D., Croft, W.: Hierarchical language models for expert finding in enterprise corpora. In: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence, pp. 599–608 (2006)
Serdyukov, P., Hiemstra, D.: Modeling Documents as Mixtures of Persons for Expert Finding. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 309–320. Springer, Heidelberg (2008)
Shadbolt, N., Berners-Lee, T., Hall, W.: The semantic web revisited. IEEE Intelligent Systems 21(3), 96–101 (2006)
van Rijsbergen, C.J.: Information Retrieval and Information Reasoning. In: van Leeuwen, J. (ed.) Computer Science Today. LNCS, vol. 1000, pp. 549–559. Springer, Heidelberg (1995)
W3C (2012), http://www.w3.org/RDF/ (last access date: March 22, 2012)
Yimam-Seid, D., Kobsa, A.: Expert finding systems for organizations: Problem and domain analysis and the demoir approach. Journal of Organizational Computing and Electronic Commerce 13(1), 1–24 (2003)
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Bukowska, E., Kaczmarek, M., Stolarski, P., Abramowicz, W. (2012). Ontology-Based Retrieval of Experts – The Issue of Efficiency and Scalability within the eXtraSpec System. In: Quirchmayr, G., Basl, J., You, I., Xu, L., Weippl, E. (eds) Multidisciplinary Research and Practice for Information Systems. CD-ARES 2012. Lecture Notes in Computer Science, vol 7465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32498-7_21
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DOI: https://doi.org/10.1007/978-3-642-32498-7_21
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