Abstract
This paper describes an approach to the evaluation of different aspects in the transformation of existing metadata into Linked data-compliant knowledge bases. At Oslo and Akershus University College of Applied Science, in the TORCH project, we are working on three different experimental case studies on extraction and mapping of broadcasting data and the interlinking of these with transformed library data. The case studies are investigating problems of heterogeneity and ambiguity in and between the domains, as well as problems arising in the interlinking process. The proposed approach makes it possible to collaborate on evaluation across different experiments, and to rationalize and streamline the process.
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References
Berners-Lee, T.: Linked data: design issues. Technical report, W3C (2006)
Heath, T., Bizer, C.: Linked Data: Evolving the Web into a global data space. Morgan & Claypool (2011)
Tallerå, S.K.: From many records to one graph: Heterogeneity conflicts in the Linked data restructuring cycle. Information Research 18(3) (2013)
Svenonius, E.: The Intellectual Foundation of Information Organization. The MIT Press, Cambridge (2000)
Reigem, O.: Sift - searching in free text: A text retrieval system (abstract only). SIGSOC Bull. 12-13(4-1), 59 (1981)
Raimond, Y.: Schema.org for TV and Radio markup (2013)
Knoblock, C.A., Szekely, P., Ambite, J.L., Goel, A., Gupta, S., Lerman, K., Muslea, M., Taheriyan, M., Mallick, P.: Semi-automatically mapping structured sources into the semantic web. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 375–390. Springer, Heidelberg (2012)
Hinze, A., Heese, R., Luczak-Rösch, M., Paschke, A.: Semantic Enrichment by Non-experts: Usability of Manual Annotation Tools. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 165–181. Springer, Heidelberg (2012)
Jonsdottir, A.: ARNER, what kind of name is that?: an automatic rule-based named entity recognizer for Norwegian. PhD thesis, University of Oslo (2003)
Grishman, R., Sundheim, B.: Design of the MUC-6 evaluation. In: Proceedings of a Workshop on Held at Vienna, Virginia, May 6-8, pp. 413–422. Association for Computational Linguistics (1996)
Maynard, D., Peters, W., Li, Y.: Metrics for Evaluation of Ontology-based Information Extraction. In: WWW Conference 2006, Workshop on “Evaluation of Ontologies for the Web”, Edinburgh, Scotland (2006)
Ferrara, A., Lorusso, D., Montanelli, S., Varese, G.: Towards a benchmark for instance matching. In: Proceedings of the 3rd International Workshop on Ontology Matching, OM 2008 (2008)
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Tallerås, K., Massey, D., Husevåg, AS.R., Preminger, M., Pharo, N. (2014). Evaluating (Linked) Metadata Transformations Across Cultural Heritage Domains. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-319-13674-5_24
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DOI: https://doi.org/10.1007/978-3-319-13674-5_24
Publisher Name: Springer, Cham
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