Search (3 results, page 1 of 1)

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Abstract

Professional, workplace searching is different from general searching, because it is typically limited to specific facets and targeted to a single answer. We have developed the semantic component (SC) model, which is a search feature that allows searchers to structure and specify the search to context-specific aspects of the main topic of the documents. We have tested the model in an interactive searching study with family doctors with the purpose to explore doctors' querying behaviour, how they applied the means for specifying a search, and how these features contributed to the search outcome. In general, the doctors were capable of exploiting system features and search tactics during the searching. Most searchers produced well-structured queries that contained appropriate search facets. When searches failed it was not due to query structure or query length. Failures were mostly caused by the well-known vocabulary problem. The problem was exacerbated by using certain filters as Boolean filters. The best working queries were structured into 2-3 main facets out of 3-5 possible search facets, and expressed with terms reflecting the focal view of the search task. The findings at the same time support and extend previous results about query structure and exhaustivity showing the importance of selecting central search facets and express them from the perspective of search task. The SC model was applied in the highest performing queries except one. The findings suggest that the model might be a helpful feature to structure queries into central, appropriate facets, and in returning highly relevant documents.

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Abstract

High-precision search results are essential for supporting e-government employees' information tasks. Prior studies have shown that existing features of e-government retrieval systems need improvement in terms of search facilities (e.g., Goh et al. 2008), navigation (e.g., de Jong and Lentz 2006) and metadata (e.g., Kopackova, Michalek and Cejna 2010). This paper investigates how automated categorization can enhance information organization and retrieval, and presents the results of a realistic evaluation that compared automated categorization with free text indexing of the government intranet used by Danish tax authorities. The evaluation demonstrates a potential for automated categorization in a government context. In terms of quantitative measures free text indexing performed at the same level or better than searching by categorization. However, the qualitative analysis revealed that categorized overviews were useful if the participant did not possess much knowledge of the task at hand. When task knowledge was present, categorization was used to support the assumptions of a correct search. Participants avoided automated categorization if high-precision documents were among the top results or if few documents were retrieved. The findings emphasise the importance of simultaneous search options for e-government IR systems, and reveal that automated categorization is valuable in improving search facilities in e-government.

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Abstract

Transferring scientific knowledge between universities and industry is known to be problematic, specifically for small and medium-sized enterprises (SMEs) that have limited resources and absorption capacity. A variety of channels is used for knowledge transfer. These include what is commonly referred to as generic pathways (e.g., scientific publications) and relational pathways (e.g., faculty consulting). The purpose of this research is to extend our knowledge about the design of knowledge organization for a generic pathway interface providing access to scientific knowledge in a research information management system. The analysis focuses on how to meet the characteristics of SMEs in the design and organisation of the subject terms and annotations in the navigation and searching system. The design is based on findings from a qualitative analysis of eight SMEs and on principles of experience design. Experience design was applied, because the classical KO design qualities seem not to be comprehensive goals for knowledge organisation for a generic pathway interface. The SMEs need guidance, encouragement, and inspiration. Experience designs are designs that have been created to provoke changes in a user's state and behaviour by engaging this user emotionally and cognitively. The paper provides examples and discusses the outcome of the experience dimensions.