Evaluating hierarchical organisation structures for exploring digital libraries |
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Authors: | Mark M Hall Samuel Fernando Paul D Clough Aitor Soroa Eneko Agirre Mark Stevenson |
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Institution: | 1. Department of Computing, Edge Hill University, Ormskirk, L39 4QP, UK 2. Department of Computer Science, Sheffield University, Sheffield, S1 4DP, UK 3. Information School, Sheffield University, Sheffield, S1 4DP, UK 4. IXA NLP Group, University of the Basque Country, 20018, Donostia, Basque Country, Spain
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Abstract: | Search boxes providing simple keyword-based search are insufficient when users have complex information needs or are unfamiliar with a collection, for example in large digital libraries. Browsing hierarchies can support these richer interactions, but many collections do not have a suitable hierarchy available. In this paper we present a number of approaches for automatically creating hierarchies and mapping items into them, including a novel technique which automatically adapts a Wikipedia-based taxonomy to the target collection. These approaches are applied to a large collection of cultural heritage items which is formed through the aggregation of other collections and for which no unified hierarchy is available. We investigate a number of novel user-evaluated metrics to quantify the hierarchies’ quality and performance, showing that the proposed technique is preferred by users. From this we draw a number of conclusions as to what makes a hierarchy useful to the user. |
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