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User Involvement

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Abstract

This chapter considers how ontology matching techniques and human users interact from a technical perspective (rather than from organisational or social ones (von Hippel 2005)). This may occur because some functions of matching, such as finding anchors, are partially or completely carried out by individual users (Sect. 11.1) or sets of users (Sect. 11.2). The ability to explain alignments to users is also an important factor in the success of user involvement (Sect. 11.3). Finally, special attention is paid to tools for communicating with users and, more particularly, to alignment visualisers and editors (Sect. 11.4).

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References

  • Alexe, B., Chiticariu, L., Miller, R., Tan, W.C.: Muse: Mapping Understanding and deSign by Example. In: Proc. 24th International Conference on Data Engineering (ICDE), Cancún, Mexico, pp. 10–19 (2008a)

    Google Scholar 

  • Aumüller, D., Do, H.-H., Maßmann, S., Rahm, E.: Schema and ontology matching with COMA++. In: Proc. 24th International Conference on Management of Data (SIGMOD), Software Demonstration, Baltimore, MD, USA, pp. 906–908 (2005)

    Google Scholar 

  • Caracciolo, C., Euzenat, J., Hollink, L., Ichise, R., Isaac, A., Malaisé, V., Meilicke, C., Pane, J., Shvaiko, P., Stuckenschmidt, H., Šváb-Zamazal, O., Svátek, V.: Results of the ontology alignment evaluation initiative 2008. In: Proc. 3rd International Workshop on Ontology Matching (OM) at the 7th International Semantic Web Conference (ISWC), Karlsruhe, Germany, pp. 73–119 (2008)

    Google Scholar 

  • Conroy, C., Brennan, R., O’Sullivan, D., Lewis, D.: User evaluation study of a tagging approach to semantic mapping. In: Proc. 6th European Semantic Web Conference (ESWC), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 5554, pp. 623–637 (2009)

    Google Scholar 

  • Correndo, G., Alani, H., Smart, P.: A community based approach for managing ontology alignments. In: Proc. 3rd International Workshop on Ontology Matching (OM) at the 7th International Semantic Web Conference (ISWC), Karlsruhe, Germany, pp. 61–72 (2008)

    Google Scholar 

  • Davis, M., Putnam, H.: A computing procedure for quantification theory. J. ACM 7(3), 201–215 (1960)

    MathSciNet  MATH  Google Scholar 

  • Davis, M., Longemann, G., Loveland, D.: A machine program for theorem proving. Commun. ACM 5(7), 394–397 (1962)

    Article  MATH  Google Scholar 

  • Dewaraja, S.: CLONTY: a scalable approach to collaborative ontology alignment. B.Sc. thesis, The University of Westminster, Westminster, UK (2010)

    Google Scholar 

  • Dhamankar, R., Lee, Y., Doan, A.-H., Halevy, A., Domingos, P.: iMAP: discovering complex semantic matches between database schemas. In: Proc. 23rd International Conference on Management of Data (SIGMOD), Paris, France, pp. 383–394 (2004)

    Google Scholar 

  • El Jerroudi, Z., Ziegler, J.: iMERGE: interactive ontology merging. In: Proc. 16th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Demo Track, Acitrezza, Italy, pp. 52–56 (2008)

    Google Scholar 

  • Falconer, S., Storey, M.-A.: A cognitive support framework for ontology mapping. In: Proc. 6th International Semantic Web Conference (ISWC) and 2nd Asian Semantic Web Conference (ASWC), Busan, Korea. Lecture Notes in Computer Science, vol. 4825, pp. 114–127 (2007)

    Google Scholar 

  • Falconer, S., Bull, I., Grammel, L., Storey, M.-A.: Creating visualizations through ontology mapping. In: Proc. 3rd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), Fukuoka, Japan, pp. 688–693 (2009)

    Chapter  Google Scholar 

  • Horridge, M., Bail, S., Parsia, B., Sattler, U.: The cognitive complexity of OWL justifications. In: Proc. 10th International Semantic Web Conference (ISWC), Bonn, Germany. Lecture Notes in Computer Science, vol. 7031, pp. 241–256 (2011)

    Google Scholar 

  • Horridge, M., Parsia, B., Sattler, U.: Justification masking in ontologies. In: Proc. 13th International Conference on Principles of Knowledge Representation and Reasoning (KR), Rome, Italy, pp. 623–627 (2012)

    Google Scholar 

  • Kerrigan, M., Mocan, A., Tanler, M., Fensel, D.: The web service modeling toolkit: an integrated development environment for semantic web services. In: Proc. 4th European Semantic Web Conference (ESWC) System Description Track, Innsbruck, Austria, pp. 303–317 (2007)

    Google Scholar 

  • Laera, L., Tamma, V., Euzenat, J., Bench-Capon, T., Payne, T.: Reaching agreement over ontology alignments. In: Proc. 5th International Semantic Web Conference (ISWC), Athens, GA, USA. Lecture Notes in Computer Science, vol. 4273, pp. 371–384 (2006)

    Google Scholar 

  • Lambrix, P., Kaliyaperumal, R.: A session-based approach for aligning large ontologies. In: Proc. 10th European Semantic Web Conference (ESWC), Montpellier, France. Lecture Notes in Computer Science, vol. 7881, pp. 46–60 (2013)

    Google Scholar 

  • Lanzenberger, M., Sampson, J.: AlViz: a tool for visual ontology alignment. In: Proc. 10th International Conference on Information Visualisation (IV), London, UK, pp. 430–440 (2006)

    Chapter  Google Scholar 

  • Le Berre, D., Parrain, A.: The sat4j library, release 2.2. J. Satisf. Boolean Model. Comput. 7(2–3), 59–64 (2010)

    Google Scholar 

  • Léger, A., Nixon, L., Shvaiko, P.: On identifying knowledge processing requirements. In: Proc. 4th International Semantic Web Conference (ISWC), Galway, Ireland. Lecture Notes in Computer Science, vol. 3729, pp. 928–943 (2005)

    Google Scholar 

  • McCann, R., Shen, W., Doan, A.-H.: Matching schemas in online communities: a web 2.0 approach. In: Proc. 24th International Conference on Data Engineering (ICDE), Cancún, Mexico, pp. 110–119 (2008)

    Google Scholar 

  • McGuinness, D., Pinheiro da Silva, P.: Infrastructure for web explanations. In: Proc. 2nd International Semantic Web Conference (ISWC), Sanibel Island, FL, USA. Lecture Notes in Computer Science, vol. 2870, pp. 113–129 (2003)

    Google Scholar 

  • McGuinness, D., Pinheiro da Silva, P.: Explaining answers from the semantic web: the Inference Web approach. J. Web Semant. 1(4), 397–413 (2004)

    Article  Google Scholar 

  • McGuinness, D., Fikes, R., Rice, J., Wilder, S.: An environment for merging and testing large ontologies. In: Proc. 7th International Conference on the Principles of Knowledge Representation and Reasoning (KR), Breckenridge, CO, USA, pp. 483–493 (2000)

    Google Scholar 

  • Mocan, A., Cimpian, E.: An ontology-based data mediation framework for semantic environments. Int. J. Semantic Web Inf. Syst. 3(2), 69–98 (2007)

    Article  Google Scholar 

  • Noy, N., Musen, M.: PROMPT: algorithm and tool for automated ontology merging and alignment. In: Proc. 17th National Conference on Artificial Intelligence (AAAI), Austin, TX, USA, pp. 450–455 (2000)

    Google Scholar 

  • Pachêco, T., Pereira, A., Pires, C.E., Salgado, A.C.: Exploring web semantic knowledge and user feedback to improve ontology matching. In: Proc. 10th International Workshop on Web Semantics (WebS) at the 22nd International Conference on Database and Expert Systems Applications (DEXA), Toulouse, France, pp. 234–238 (2011)

    Google Scholar 

  • Peukert, E., Eberius, J., Rahm, E.: AMC: a framework for modelling and comparing matching systems as matching processes. In: Proc. 27th International Conference on Data Engineering (ICDE), Hannover, Germany, pp. 1304–1307 (2011)

    Google Scholar 

  • Pinheiro da Silva, P., McGuinness, D., Fikes, R.: A proof markup language for semantic web services. Inf. Sci. 31(4), 381–395 (2006)

    Google Scholar 

  • Sarasua, C., Simperl, E., Noy, N.: CrowdMAP: crowdsourcing ontology alignment with microtasks. In: Proc. 11th International Semantic Web Conference (ISWC), Boston, MA, USA. Lecture Notes in Computer Science, vol. 7649, pp. 525–541 (2012)

    Google Scholar 

  • Sarma, A.D., Dong, X., Halevy, A.: Bootstrapping pay-as-you-go data integration systems. In: Proc. 27th International Conference on Management of Data (SIGMOD), Vancouver, BC, Canada, pp. 861–874 (2008)

    Google Scholar 

  • Shvaiko, P., Giunchiglia, F., Pinheiro da Silva, P., McGuinness, D.: Web explanations for semantic heterogeneity discovery. In: Proc. 2nd European Semantic Web Conference (ESWC), Hersounisous, Greece. Lecture Notes in Computer Science, vol. 3532, pp. 303–317 (2005)

    Google Scholar 

  • Thaler, S., Simperl, E.P.B., Siorpaes, K.: SpotTheLink: playful alignment of ontologies. In: Proc. 26th ACM Symposium on Applied Computing (SAC), Tai Chung, Taiwan, pp. 1711–1712 (2011)

    Google Scholar 

  • Trojahn, C., Euzenat, J., Tamma, V., Payne, T.: Argumentation for reconciling agent ontologies. In: Elai, A., Kona, M., Orgun, M. (eds.) Semantic Agent Systems, pp. 89–111. Springer, New York (2011). Chap. 5

    Chapter  Google Scholar 

  • van Ham, F., van Wijk, J.: Interactive visualization of small world graphs. In: Proc. 10th Symposium on Information Visualization (InfoVis), Austin, TX, USA, pp. 199–206 (2004)

    Google Scholar 

  • von Hippel, E.: Democratizing Innovation. MIT Press, Cambridge (2005)

    Google Scholar 

  • Zhdanova, A., Shvaiko, P.: Community-driven ontology matching. In: Proc. 3rd European Semantic Web Conference (ESWC), Budva, Montenegro. Lecture Notes in Computer Science, vol. 4011, pp. 34–49 (2006)

    Google Scholar 

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Euzenat, J., Shvaiko, P. (2013). User Involvement. In: Ontology Matching. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38721-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-38721-0_11

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