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.
Original language | English |
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Pages (from-to) | 351-379 |
Number of pages | 29 |
Journal | Information Retrieval |
Volume | 17 |
Issue number | 4 |
Early online date | 11 Jul 2014 |
DOIs | |
Publication status | Published - Aug 2014 |
Keywords
- Evaluation
- Hierarchical structures
- Exploratory search
- Interactive information retrieval
- Browsing