Abstract
We propose a new classification system based on an analysis of folksonomy data. To find valuable resources from current social bookmark services, users need to specify search terms or tags, or to discover people with similar interests. Our system uses semantic relationships extracted from the co-occurrences of folksonomy data using PLSI and allocates folksonomy tags in a directed acyclic graph. Compared to the hierarchical allocation method of a tree, our method guarantees the number of children nodes and increases the number of available paths to an objective node, enabling users to navigate the resources using tags.
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Eda, T., Yoshikawa, M., Yamamuro, M. (2008). Locally Expandable Allocation of Folksonomy Tags in a Directed Acyclic Graph. In: Bailey, J., Maier, D., Schewe, KD., Thalheim, B., Wang, X.S. (eds) Web Information Systems Engineering - WISE 2008. WISE 2008. Lecture Notes in Computer Science, vol 5175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85481-4_13
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DOI: https://doi.org/10.1007/978-3-540-85481-4_13
Publisher Name: Springer, Berlin, Heidelberg
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