Abstract
The paper examines how to address the need for a production process for e-learning resources to include human generated metadata, and considers how users will exploit this metadata. It identifies situations in which human production of metadata is unavoidable, and examines fundamental problems concerned with human metadata generation such as motivation and shared understanding. It proposes and discusses some methods to exploit endemic motivational factors within communities in an attempt to ensure good quality human generated metadata, and identifies how ontological constructs can support the exploitation of such metadata. The relevance of these methods to the semantic web in general is discussed.
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References
IEEE, IEEE Standard for Learning Object Metadata, in IEEE Std 1484.12.1-2002. The Institute of Electrical and Electronics Engineers, Inc. p. i-32 (2002)
Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys 34(1) (2002)
Lam, W., Ruiz, M., Srinivasan, P.: Automatic Text Categorization and Its Application to Text Retrieval. IEEE Transactions on Knowledge and Data Engineering 11(6), 865–879 (1999)
Liddy, E.D., et al.: Automatic metadata generation & evaluation. In: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, ACM Press, Tampere (2002)
Deerwester, S., et al.: Indexing by latent semantic analysis. Journal of the Society for Information Science 41(6), 391–407 (1990)
METAe - Meta Data Engine. Vol. 2003, The METAe project group (2002), http://metae.aib.uni-linz.ac.at/
Brunelli, R., Mich, O., Modena, C.M.: A Survey on the Automatic Indexing of Video Data. Journal of Visual Communication and Image Representation 10(2), 78–112 (1999)
Ngan, K.N., et al. (eds.): Special issue on segmentation, description and retrieval of video content (1998)
Marshall, C.: Making Metadata: a study of metadata creation for a mixed physical-digital collection. In: ACM Digital Libraries 1998 Conference, Pittsburgh, PA (1998)
Currier, S., et al.: Quality Assurance for Digital Learning Object Repositories: Issues for the Metadata Creation Process. ALT-J, research in Learning Technology 12(1), 6–20 (2004)
Chan, L.M.: Inter-Indexer Consistency in Subject Cataloging. Information Technology and Libraries 8(4), 349–358 (1989)
GEM, The Gateway to Educational Materials (2003), http://www.thegateway.org/
Brasher, A., McAndrew, P.: Metadata vocabularies for describing learning objects: implementation and exploitation issues. Learning Technology 5(1) (2003), http://lttf.ieee.org/learn_tech/issues/january2003/
Kabel, S., Hoog, R.d., Wielinga, B.J.: Consistency in Indexing Learning Objects: an Empirical Investigation. In: ED-Media 2003, Honolulu, Hawaii, USA (2003)
IMS, IMS Vocabulary Definition Exchange (2004), http://www.imsglobal.org/vdex/
Clark, J.: XSL Transformations (XSLT) Version 1.0, W3C (1999), http://www.w3.org/TR/xslt
Sharples, M., et al.: Socio-Cognitive Engineering: A Methodology for the Design of Human-Centred Technology. European Journal of Operational Research 136(2), 310–323 (2002)
UKeU, Postgraduate Certificate in Online and Distance Education 2003/4. (2003), http://www.ukeu.com/courses/connectedeconomy/courses_connectedeconomy_programme.php?site=
Weller, M., Pegler, C., Mason, R.: Working with learning objects - some pedagogical suggestions (2003), http://iet.open.ac.uk/pp/m.j.weller/pub/altc.doc
McGuinness, D.L., Harmelen, F.v.: OWL Web Ontology Language Overview, W3C (2003), http://www.w3.org/TR/owl-features/
Abecker, A., Tellmann, R.: Analysis of Interaction between Semantic Web Languages, P2P architectures, and Agents. In: 2003, SWWS – Semantic Web Enabled Web Services project IST-2002-37134, http://swws.semanticweb.org/public_doc/D1.3.pdf
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Brasher, A., McAndrew, P. (2004). Human-Generated Learning Object Metadata. In: Meersman, R., Tari, Z., Corsaro, A. (eds) On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops. OTM 2004. Lecture Notes in Computer Science, vol 3292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30470-8_83
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DOI: https://doi.org/10.1007/978-3-540-30470-8_83
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