A reference model for user‐system interaction in thesaurus‐based searching

Blocks, Dorothee; Cunliffe, Daniel; Tudhope, Douglas

doi:10.1002/asi.20482

Cited by 10 publications

(6 citation statements)

References 40 publications

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“…To better support the retrieval of specific information, health information systems should be able to support the learning of concept hierarchies. A potentially fruitful approach is to enhance the systems with medical thesauri that provide hierarchical relationships among concepts, such as Medical Subject Headings (MeSH) (Blocks, Cunliffe, & Tudhope, ).…”

Section: Discussionmentioning

confidence: 99%

Searching for specific health‐related information in MedlinePlus: Behavioral patterns and user experience

Zhang

2013

Asso for Info Science & Tech

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Searches for specific factual health information constitute a significant part of consumer health information requests, but little is known about how users search for such information. This study attempts to fill this gap by observing users' behavior while using MedlinePlus to search for specific health information. Nineteen students participated in the study, and each performed 12 specific tasks. During the search process, they submitted short queries or complete questions, and they examined less than 1 result per search. Participants rarely reformulated queries; when they did, they tended to make a query more specific or more general, or iterate in different ways. Participants also browsed, primarily relying on the alphabetical list and the anatomical classification, to navigate to specific health topics. Participants overall had a positive experience with MedlinePlus, and the experience was significantly correlated with task difficulty and participants' spatial abilities. The results suggest that, to better support specific item search in the health domain, systems could provide a more "natural" interface to encourage users to ask questions; effective conceptual hierarchies could be implemented to help users reformulate queries; and the search results page should be reconceptualized as a place for accessing answers rather than documents. Moreover, multiple schemas should be provided to help users navigate to a health topic. The results also suggest that users' experience with information systems in general and health-related systems in particular should be evaluated in relation to contextual factors, such as task features and individual differences.

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Section: Discussionmentioning

confidence: 99%

Searching for specific health‐related information in MedlinePlus: Behavioral patterns and user experience

Zhang

2013

Asso for Info Science & Tech

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“…Soergel has explored reengineering classification schemes and thesauri into feature-rich ontologies, using a combination of automatic extraction and human editing (e.g., Soergel et al, 2004). Blocks, Cunliffe, and Tudhope (2006) present a very useful model of the interaction between user and thesaurus during information searching-they intend this as a framework for systems developers, and Shiri & Revie (2005) studied user perceptions of an existing (and typical) thesaurus interface in online searching. Harper and Tillett (2007) emphasize the potential contributions of controlled vocabularies (and authority control in general) to the Semantic Web.…”

Section: Thesaurimentioning

confidence: 99%

Thesauri and Facets and Tags, Oh My! A Look at Three Decades in Subject Analysis

Schwartz¹

2008

lib

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The field of subject analysis enjoyed a flurry of interest in the 1970s, and has recently become a focus of attention again. The scholarly community doing work in this area has become more diffuse, and has grown to include new groups, such as information architects. Changes in information services and information seeking have led to reexamination of the nature and role of subject analysis tools and practices. This selective review looks at thesauri, guided navigation, and folksonomy as three activity areas in which subject analysis researchers have been attempting to address rapidly changing new environments.

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“…First, these search engines must have access to encoded domain knowledge that can be used to guide users to refine their search queries. There are well documented search approaches that have successfully used a thesaurus [1,2,4,5] for query refinement. However, the use of thesauri limits the type of domain information than can be encoded.…”

Section: Requirements and Issuesmentioning

confidence: 99%

Customizable Search Engine with Semantic and Resource Aggregation Capability

Movva

Ramachandran

Graves

et al. 2008

2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Serv

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There is a need for specialized search engines focused on specific disciplines that can use domain knowledge to guide the user to find exactly the resources they are searching for. In addition, these engines should be able search multiple and heterogeneous resource catalogs simultaneously and aggregate results from these catalogs. Noesis, a customizable search engine with semantic and resource aggregation capabilities is presented in this paper. The Noesis architecture has been designed to be modular, allowing it to be adapted by projects in different disciplines. This paper describes the Noesis architecture, highlights its application in several projects, and presents a user scenario for one of the projects is presented in this paper.

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A reference model for user‐system interaction in thesaurus‐based searching

Cited by 10 publications

References 40 publications

Searching for specific health‐related information in MedlinePlus: Behavioral patterns and user experience

Searching for specific health‐related information in MedlinePlus: Behavioral patterns and user experience

Thesauri and Facets and Tags, Oh My! A Look at Three Decades in Subject Analysis

Customizable Search Engine with Semantic and Resource Aggregation Capability

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