subject predicate object context
16932 Creator 01a92d17551810ee183bf6ee3f4ae85d
16932 Creator afe4fe8e24847a40d6ecb882ffd8fae9
16932 Date 2004
16932 Is Part Of repository
16932 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.
16932 authorList authors
16932 editorList editors
16932 status peerReviewed
16932 volume 3292
16932 type Article
16932 type BookSection
16932 label Brasher, Andrew and McAndrew, Patrick (2004). Human-Generated Learning Object Metadata. In: Meersman, R; Zahir, Tari and Corsaro, A eds. On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops. Lecture Notes in Computer Science, 3292. Berlin: Springer, pp. 723–730.
16932 label Brasher, Andrew and McAndrew, Patrick (2004). Human-Generated Learning Object Metadata. In: Meersman, R; Zahir, Tari and Corsaro, A eds. On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops. Lecture Notes in Computer Science, 3292. Berlin: Springer, pp. 723–730.
16932 Publisher ext-1c5ddec173ca8cdfba8b274309638579
16932 Title Human-Generated Learning Object Metadata
16932 in dataset oro