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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/3709

Title: An Associative Browser for the ACM Digital Library
Authors: Zhang, Mi
Buzydlowski, Jan
Lin, Xia
Keywords: Classification;Digital libraries
Issue Date: 8-Apr-2011
Publisher: Drexel University. College of Information Science and Technology.
Abstract: Classification systems have been a powerful browsing tool in traditional libraries. However, in digital libraries, the browsing capability of classification systems has yet to be fully explored. For example, in the recent release of ACM Digital Library interface, the classification can only be used as an option for advanced search. Users cannot view the hierarchical structure of the ACM Classification system while conducting searches or browsing search results. Nor can they take advantage of relationships of subject terms defined in the classification system for document browsing or search result filtering. In this poster, we describe a new associative browser for the ACM Digital Library. The new browser provides multiple ways for the user to engage with the classification system and search results. The major components and functions of the associative browser include: A fully interactive tree implementation of the classification system that allows the user to go up and down along the hierarchy of the classification system to select subject terms for searching or filtering search results. An interactive associative map for any subject term in the classification system that shows associative relationships of the terms. We define the term association by their co-occurrences in the whole ACM Digital Library. To get the co-occurrence counts, an extensive pre-calculation was run and the association of every two terms of the classification system was stored in a database. The associative map was generated by the pathfinder algorithm, which selects only the most relevant links to the centered terms. Integration of searching and browsing. The hierarchical browser and associative map could help users identify the structure of ACM classification system from different aspects. As each of user’s browsing action is linked to the search engine of the digital library, users will be able to use the structures of the classification system to guide their searches.
URI: http://hdl.handle.net/1860/3709
Appears in Collections:Research Day Posters (IST)

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