Abstract
Matchmaking can be basically seen as the process of computing a ranked list of resources with respect to a given query. Semantic matchmaking can be hence described as the process of computing such ordered list also taking into account the semantics of resources description and of the query, provided with reference to a logic theory (an ontology, a set of rules, etc.) [3]. A matchmaking step is fundamental in a number of retrieval scenarios spanning from (Web) service discovery and composition to e-commerce transactions up to recruitment in human resource management for task assignment, just to cite a few of them. Also in interactive exploratory tasks, matchmaking and ranking play a fundamental role in the selection of relevant resources to be presented to the user and, in case, further explored. In all the above mentioned frameworks, the user query may contain only hard (strict) requirements or may represent also her preferences. We will see how to handle both cases while computing the ranked list of most promising resources.
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References
Colucci, S., Di Noia, T., Di Sciascio, E., Donini, F.M., Mongiello, M.: A Uniform Tableaux-Based Method for Concept Abduction and Contraction in Description Logics. In: ECAI 2004, pp. 975–976 (2004)
Colucci, S., Di Noia, T., Di Sciascio, E., Donini, F.M., Ragone, A.: A unified framework for non-standard reasoning services in description logics. In: ECAI 2010, pp. 479–484 (2010)
Colucci, S., Di Noia, T., Pinto, A., Ragone, A., Ruta, M., Tinelli, E.: A non-monotonic approach to semantic matchmaking and request refinement in e-marketplaces. IJEC 12(2), 127–154 (2007)
Di Noia, T., Di Sciascio, E., Donini, F.M.: Extending Semantic-Based Matchmaking via Concept Abduction and Contraction. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds.) EKAW 2004. LNCS (LNAI), vol. 3257, pp. 307–320. Springer, Heidelberg (2004)
Di Noia, T., Di Sciascio, E., Donini, F.M.: Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach. JAIR 29, 269–307 (2007)
Di Noia, T., Di Sciascio, E., Donini, F.M.: Semantic matchmaking via non-monotonic reasoning: the mamas-tng matchmaking engine. Communications of SIWN 5, 67–72 (2008)
Di Noia, T., Di Sciascio, E., Donini, F.M., Mongiello, M.: A system for principled Matchmaking in an electronic marketplace. IJEC 8(4), 9–37 (2004)
Di Noia, T., Di Sciascio, E., Donini, F.M.: Computing information minimal match explanations for logic-based matchmaking. In: WI/IAT 2009, pp. 411–418 (2009)
Fishburn, P.C.: Interdependence and additivity in multivariate, unidimensional expected utility theory. International Economic Review 8, 335–342 (1967)
Li, L., Horrocks, I.: A Software Framework for Matchmaking Based on Semantic Web Technology. IJEC 8(4), 39–60 (2004)
Myerson, R.B., Satterthwaite, M.A.: Efficient mechanisms for bilateral trading. Journal of Economic Theory 29(2), 265–281 (1983)
Ragone, A., Di Noia, T., Di Sciascio, E., Donini, F.M.: Logic-based automated multi-issue bilateral negotiation in peer-to-peer e-marketplaces. J. AAMAS 16(3), 249–270 (2008)
Ragone, A., Straccia, U., Di Noia, T., Di Sciascio, E., Donini, F.M.: Fuzzy matchmaking in e-marketplaces of peer entities using Datalog. FSS 10(2), 251–268 (2009)
Ragone, A., Di Noia, T., Donini, F.M., Di Sciascio, E., Wellman, M.P.: Computing Utility from Weighted Description Logic Preference Formulas. In: Baldoni, M., Bentahar, J., van Riemsdijk, M.B., Lloyd, J. (eds.) DALT 2009. LNCS, vol. 5948, pp. 158–173. Springer, Heidelberg (2010)
Ragone, A., Di Noia, T., Donini, F.M., Di Sciascio, E., Wellman, M.P.: Weighted Description Logics Preference Formulas for Multiattribute Negotiation. In: Godo, L., Pugliese, A. (eds.) SUM 2009. LNCS, vol. 5785, pp. 193–205. Springer, Heidelberg (2009)
Tintarev, N., Masthoff, J.: Designing and Evaluating Explanations for Recommender Systems. In: Recommender Systems Handbook, pp. 479–510 (2011)
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Di Noia, T. (2012). Semantic Matchmaking and Ranking: Beyond Deduction in Retrieval Scenarios. In: Krötzsch, M., Straccia, U. (eds) Web Reasoning and Rule Systems. RR 2012. Lecture Notes in Computer Science, vol 7497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33203-6_2
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DOI: https://doi.org/10.1007/978-3-642-33203-6_2
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