Abstract
Constraint-based configuration is – on the one hand – one of the classical problem domains in AI and also in industrial practice. Additional problems arise, when configuration objects come from an open environment such as the Web, or in case of a reconfiguration. On the other hand, (re)configuration is a reasoning task very much ignored in the current (Semantic) Web reasoning literature, despite (i) the increased availability of structured data on the Web, particularly due to movements such as the Semantic Web and Linked Data, (ii) numerous practically relevant tasks in terms of using Web data involve (re)configuration. To bridge these gaps, we discuss the challenges and possible approaches for reconfiguration in an open Web environment, based on a practical use case leveraging Linked Data as a “component catalog” for configuration. In this paper, we present techniques to enhance existing review management systems with (re)configuration facilities and provide a practical evaluation.
This work was funded by FFG FIT-IT within the scope of the project RECONCILE (grant number 825071). An extended version of the paper can be found at http://proserver3-iwas.uni-klu.ac.at/reconcile/index.php/ benchmarks
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References
Brewka, G., Eiter, T., Truszczynski, M.: Answer set programming at a glance. Communications of the ACM 54(12), 92–103 (2011)
Falkner, A., Haselböck, A.: Challenges of Knowledge Evolution in Practice. In: Workshop on Intelligent Engineering Techniques for Knowledge Bases (IKBET 2010), pp. 1–5 (2010)
Friedrich, G., Ryabokon, A., Falkner, A., Haselböck, A., Schenner, G., Schreiner, H. (Re)configuration using Answer Set Programming. In: Proceedings of the IJCAI 2011 Workshop on Configuration, pp. 17–25 (2011)
Gebser, M., Kaufmann, B., Schaub, T.: Conflict-driven answer set solving: From theory to practice. Artif. Intell. 187, 52–89 (2012)
Goldsmith, J., Sloan, R.: The AI conference paper assignment problem. In: Proceedings of AAAI Workshop on Preference Handling for Artificial Intelligence, Vancouver, BC, Canada, pp. 53–57 (2007)
Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, Synthesis Lectures on the Semantic Web: Theory and Technology, vol. 1. Morgan & Claypool (2011)
Jannach, D., Zanker, M., Felfernig, A., Friedrich, G.: Recommender Systems: An Introduction. Cambridge University Press (2010)
Manlove, D., Irving, R., Iwama, K., Miyazaki, S., Morita, Y.: Hard variants of stable marriage. Theoretical Computer Science 276(1-2), 261–279 (2002)
Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF. W3C Recommendation, World Wide Web Consortium (2008), http://www.w3.org/TR/rdf-sparql-query/
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Ryabokon, A., Polleres, A., Friedrich, G., Falkner, A.A., Haselböck, A., Schreiner, H. (2012). (Re)Configuration Using Web Data: A Case Study on the Reviewer Assignment Problem. 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_28
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DOI: https://doi.org/10.1007/978-3-642-33203-6_28
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