The CALO project at SRI International offers a unique opportunity to explore the boundaries of knowledge representation and organization in a learning environment. One goal is to develop methods for learning in the wild, the accretion of new knowledge by combinations of machine learning and recorded social gestures. Social bookmarking provides one kind of recorded social gesture that, when combined with machine learning techniques, avail learning in the wild opportunities. We explore the informal ontologies of social bookmarking processes as recorded in a subject map. We apply the same thinking to federation of formal ontologies. We will illustrate the opportunities gained through subject-centric knowledge representation and organization. In the larger picture, we are exploring techniques for federation of heterogeneous world views. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Park, J. (2007). Tagomizer: Subject maps meet social bookmarking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4438 LNAI, pp. 200–214). Springer Verlag. https://doi.org/10.1007/978-3-540-71945-8_20
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