Automated Support for a Collaborative System to Organize a Collection using Facets
||Maly, Kurt; Harris Wu, Mohammad Zubair, Victor Antonov
||Automated Support for a Collaborative System to Organize a Collection using Facets
||ELPUB2009. Rethinking Electronic Publishing: Innovation in Communication Paradigms and Technologies - Proceedings of the 13th International Conference on Electronic Publishing held in Milano, Italy 10-12 June 2009 / Edited by: Susanna Mornati and Turid Hedlund. ISBN 978-88-6134-326-6, 2009, pp. 187-203
||We are developing a system that improves access to a large, growing image collection by supporting users to collaboratively build a faceted (multi-perspective) classification schema. For collections that grow in both volume and variety, a major challenge is to evolve the facet schema, and to reclassify existing objects into the modified facet schema. Centrally managed classification systems often find it difficult to adapt to evolving collections. The proposed system allows: (a) users to collaboratively build and maintain a faceted classification, (b) to systematically enrich the user-created facet schema, and (c) to automatically classify documents into an evolving, user-managed facet schema. In this paper, we focus on (c), where we describe the approach to automatically classify documents into an evolving facet schema. We propose a learning-based system that periodically learns from manually classified images, and then classify new images accordingly.
||Automated Categorization; Collaborative Faceted Classification; Facets; Support Vector Machines; Image Collections
||file.pdf (3,098,034 bytes)
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