Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1007/s10791-014-9242-y | Information Retrieval |
Keywords | Field | DocType |
Evaluation,Hierarchical structures,Exploratory search,Interactive information retrieval,Browsing | Data mining,World Wide Web,Information needs,Information retrieval,Cultural heritage,Computer science,Digital library,Hierarchy,Exploratory search | Journal |
Volume | Issue | ISSN |
17 | 4 | 1386-4564 |
Citations | PageRank | References |
4 | 0.50 | 47 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mark M. Hall | 1 | 132 | 15.77 |
Samuel Fernando | 2 | 87 | 12.71 |
Paul Clough | 3 | 1308 | 111.91 |
Aitor Soroa | 4 | 1121 | 59.72 |
Eneko Agirre | 5 | 3119 | 217.33 |
Mark Stevenson | 6 | 970 | 91.03 |