Abstract
We present a knowledge-based system, for skills and talent management, exploiting semantic technologies combined with top-k retrieval techniques. The system provides advanced distinguishing features, including the possibility to formulate queries by expressing both strict requirements and preferences in the requested profile and a semantic-based ranking of retrieved candidates. Based on the knowledge formalized within a domain ontology, the system implements an approach exploiting top-k based reasoning services to evaluate semantic similarity between the requested profile and retrieved ones. System performance is discussed through the presentation of experimental results.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, Cambridge (2003)
Bechhofer, S., Horrocks, I., Turi, D.: The OWL instance store: System description. In: Nieuwenhuis, R. (ed.) CADE 2005. LNCS (LNAI), vol. 3632, pp. 177–181. Springer, Heidelberg (2005)
Broekstra, J., Kampman, A., van Harmelen, F.: Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 54–68. Springer, Heidelberg (2002)
Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Data complexity of query answering in description logics. In: Proc. of KR 2006, pp. 260–270 (2006)
Chomicki, J.: Querying with Intrinsic Preferences. In: Jensen, C.S., Jeffery, K., Pokorný, J., Šaltenis, S., Bertino, E., Böhm, K., Jarke, M. (eds.) EDBT 2002. LNCS, vol. 2287, pp. 34–51. Springer, Heidelberg (2002)
Colucci, S., Di Noia, T., Di Sciascio, E., Donini, F.M., Ragone, A.: Semantic-based skill management for automated task assignment and courseware composition. J. Univ. Comp. Sci. 13(9), 1184–1212 (2007)
Das, S., Chong, E.I., Eadon, G., Srinivasan, J.: Supporting ontology-based semantic matching in RDBMS. In: Proc. of VLDB 2004, pp. 1054–1065. VLDB Endowment (2004)
Hafenrichter, B., Kießling, W.: Optimization of relational preference queries. In: Proc. of ADC 2005, pp. 175–184. Australian Computer Society, Inc., Darlinghurst (2005)
Hristidis, V., Koudas, N., Papakonstantinou, Y.: PREFER: A system for the efficient execution of multi-parametric ranked queries. In: Proc. of ACM SIGMOD, pp. 259–270. ACM, New York (2001)
Kießling, W.: Foundations of preferences in database systems. In: Proc. of VLDB 2002, pp. 311–322. Morgan Kaufmann, Los Altos (2002)
Kießling, W., Köstler, G.: Preference SQL - design, implementation, experiences. In: Proc. of VLDB 2002, pp. 990–1001. Morgan Kaufmann, Los Altos (2002)
Li, C., Chang, K.C.-C., Ilyas, I.F., Song, S.: RankSQL: query algebra and optimization for relational top-k queries. In: Proc. of ACM SIGMOD 2005. ACM Press, New York (2005)
Li, C., Soliman, M.A., Chang, K.C.-C., Ilyas, I.F.: RankSQL: supporting ranking queries in relational database management systems. In: Proc. of VLDB 2005, pp. 1342–1345. VLDB Endowment (2005)
Lukasiewicz, T., Straccia, U.: Top-k retrieval in description logic programs under vagueness for the semantic web. In: Prade, H., Subrahmanian, V.S. (eds.) SUM 2007. LNCS (LNAI), vol. 4772, pp. 16–30. Springer, Heidelberg (2007)
Bosc, P., Pivert, O.: SQLf: a relational database language for fuzzy querying. IEEE Transactions on Fuzzy Systems 3(1), 1–17 (1995)
Pan, Z., Heflin, J.: DLDB: Extending Relational Databases to Support Semantic Web Queries. In: Proc. of PSSS1, vol. 89, pp. 109–113. CEUR-WS.org (2003)
Straccia, U.: Answering vague queries in fuzzy DL-Lite. In: Proc. of IPMU 2006, pp. 2238–2245. E.D.K, Paris (2006)
Straccia, U.: Towards top-k query answering in deductive databases. In: Proc. of SMC 2006, pp. 4873–4879. IEEE, Los Alamitos (2006)
Straccia, U.: Towards top-k query answering in description logics: the case of DL-Lite. In: Fisher, M., van der Hoek, W., Konev, B., Lisitsa, A. (eds.) JELIA 2006. LNCS (LNAI), vol. 4160, pp. 439–451. Springer, Heidelberg (2006)
Straccia, U.: Towards vague query answering in logic programming for logic-based information retrieval. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. LNCS (LNAI), vol. 4529, pp. 125–134. Springer, Heidelberg (2007)
Tinelli, E., Cascone, A., Ruta, M., Di Noia, T., Di Sciascio, E., Donini, F.M.: I.M.P.A.K.T.: An innovative, semantic-based skill management system exploiting standard SQL. In: Proc. of ICEIS 2009, vol. AIDSS, pp. 224–229 (2009)
Wilkinson, K., Sayers, C., Kuno, H.A., Reynolds, D.: Efficient RDF Storage and Retrieval in Jena2. In: Proc. of SWDB 2003, pp. 131–150 (2003)
Yu, H., Hwang, S.-W., Chang, K.C.-C.: RankFP: A Framework for Supporting Rank Formulation and Processing. In: Proc. of ICDE 2005, pp. 514–515. IEEE Comp. Soc. Press, Los Alamitos (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Straccia, U., Tinelli, E., Colucci, S., Di Noia, T., Di Sciascio, E. (2009). Semantic-Based Top-k Retrieval for Competence Management. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds) Foundations of Intelligent Systems. ISMIS 2009. Lecture Notes in Computer Science(), vol 5722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04125-9_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-04125-9_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04124-2
Online ISBN: 978-3-642-04125-9
eBook Packages: Computer ScienceComputer Science (R0)