Abstract
The participation of experts and other external contributors is a common requirement in the design of educational scenarios for the school of the future. We can find many repositories of learning objects, but it is not so common to find directories containing people who are willing to participate in an educational activity. Much less common is to find information about these people to determine their suitability from an educational perspective. This paper describes a proposal for the automatic enrichment of existing information in a directory of contributors to educational activities. Through this enrichment process, it is possible to enhance the amount of information available to a recommender system to identify the most appropriate people to participate in a particular activity, and reduces the need for human intervention when selecting individuals to contribute to educational activities.
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References
Anido, L., Caeiro, M., Cañas, A., Fernández, M., Míguez, R., Alonso, V., Santos, J.: D10.2 - Support for implementing iTEC Engaging Scenarios V2 (2012)
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The Story So Far. Inter. Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)
Ferrara, E., Fiumara, G., Baumgartner, R.: Web Data Extraction, Applications and Techniques: A Survey. ACM TOCL V, 1–20 (2010)
Jaro, M.A.: Probabilistic linkage of large public health data files. Statistics in Medicine 14(5-7), 491–498 (1995)
McGuinness, D.L., Van Harmelen, F.: OWL Web Ontology Language Overview. W3C recommendation 10, 1–22 (2004)
Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk – A Link Discovery Framework for the Web of Data. Language 135(2), 1–6 (2009)
Winkler, W.E.: Overview of record linkage and current research directions. Current Statistics (2006-2), 1–28 (2006)
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© 2013 Springer International Publishing Switzerland
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Rorís, V.M.A., Rodríguez, A.C., Gago, J.M.S., Rifón, L.E.A., Iglesias, M.J.F. (2013). Finding People Who Can Contribute to Learning Activities: A First Approach to Enhance the Information about Experts Available in a People Directory. In: Casillas, J., Martínez-López, F., Vicari, R., De la Prieta, F. (eds) Management Intelligent Systems. Advances in Intelligent Systems and Computing, vol 220. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00569-0_11
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DOI: https://doi.org/10.1007/978-3-319-00569-0_11
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00568-3
Online ISBN: 978-3-319-00569-0
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