Interactive thesaurus navigation: Intelligence rules OK?

Jones, Susan; Gatford, Mike; Robertson, Stephen; Hancock‐Beaulieu, Micheline; Secker, Judith; Walker, Steve

doi:10.1002/(sici)1097-4571(199501)46:1<52::aid-asi6>3.0.co;2-1

Cited by 57 publications

(44 citation statements)

References 8 publications

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“…A thesaurus is an external expansion source in several studies on real users' searching. Jones et al (1995) tested query expansion with the INSPEC thesaurus in the INSPEC database with the best match system OKAPI. Genuine users with own information needs ran first their own query.…”

Section: Related Studiessupporting

confidence: 85%

“…Based on results at document cut-off value (DCV) 20 no significant difference in the effectiveness of the original and the expanded queries was detected, whether run against full text or INSPEC index terms. The expansion had a reordering effect on the result sets, however (Jones et al, 1995). Sihvonen and Vakkari (2004) studied subject novices' and experts' query formulation and expansion.…”

Section: Related Studiesmentioning

confidence: 99%

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User evaluation of ontology as query construction tool

Suomela

Kekäläinen

2006

Inf Retrieval

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This study examines the use of an ontology as a search tool. Sixteen subjects created queries using Concept-based Information Retrieval Interface (CIRI) and a regular baseline IR interface. The simulated work task method was used to make the searching situations realistic. Subjects' search experiences, queries and search results were examined. The numbers of search concepts and keys, as well as their overlap in the queries were investigated. The effectiveness of the CIRI and baseline queries was compared. An Ontology Index (OI) was calculated for all search tasks and the correlation between the OI and the overlap of search concepts and keys in queries was investigated. The number of search keys and concepts was higher in CIRI queries than in baseline interface queries. Also the overlap of search keys was higher among CIRI users than among baseline users. These both findings are due to CIRI's expansion feature. There was no clear correlation between OI and overlap of search concepts and keys. The search results were evaluated with generalised precision and recall, and relevance scores based on individual relevance assessments. The baseline interface queries performed better in all comparisons, but the difference was statistically significant only in relevance scores based on individual relevance assessments.

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Section: Related Studiessupporting

confidence: 85%

Section: Related Studiesmentioning

confidence: 99%

User evaluation of ontology as query construction tool

Suomela

Kekäläinen

2006

Inf Retrieval

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“…The weightings may be based on criteria such as number of connections, number of co-occurrences, path length, and type of relationship [Jones 1995]. In [Voorhees 1994], for instance, the expanded query vector is comprised of subvectors of eleven different concept types with an associated importance weight: one for original query terms, one for synonyms, and one each for the other relation types contained within the noun portion of WordNet.…”

Section: Query Reformulationmentioning

confidence: 99%

A Survey of Automatic Query Expansion in Information Retrieval

2012

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The relative ineffectiveness of information retrieval systems is largely caused by the inaccuracy with which a query formed by a few keywords models the actual user information need. One well known method to overcome this limitation is automatic query expansion (AQE), whereby the user's original query is augmented by new features with a similar meaning. AQE has a long history in the information retrieval community but it is only in the last years that it has reached a level of scientific and experimental maturity, especially in laboratory settings such as TREC. This survey presents a unified view of a large number of recent approaches to AQE that leverage various data sources and employ very different principles and techniques. The following questions are addressed: Why is query expansion so important to improve search effectiveness? What are the main steps involved in the design and implementation of an AQE component? What approaches to AQE are available and how do they compare? Which issues must still be resolved before AQE becomes a standard component of large operational information retrieval systems (e.g., search engines)?

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“…Some studies have suggested that users who have reasonable understanding about the search topic are able to make use of thesaurus tools in the retrieval task of query formulations. For instance, users in academic environment found it informative and useful to use the INSPEC thesaurus navigation feature for query enhancement (Jones, Gatford, Robertson, Hancock-Beaulieu, Secker, & Walker, 1995). In a test of whether an enhanced thesaurus will be useful in a real work environment, Nielsen (2004) showed that domain experts perceived that a word association thesaurus was useful for query formulation.…”

Section: Domain Knowledgementioning

confidence: 99%

The impact of MeSH (Medical Subject Headings) terms on information seeking effectiveness

Liu

2009

SIGIR Forum

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To what extent do MeSH (Medical Subject Headings) terms improve search effectiveness of different kinds of users? We observed four different kinds of searchers using an experimental information retrieval (IR) system: (1) search novices; (2) domain experts; (3) search experts and (4) medical librarians. The information needs were a subset of the relatively difficult topics originally created for the Text REtrieval Conference (TREC). By experimental design, we used 20 search topics in an IR user experiment to alleviate search topic variability. Effectiveness of retrieval was based on the relevance judgments set provided by TREC. Thirty-two participants searched either using a version of the system in which abstracts and MeSH terms were displayed or another version in which they had to formulate their own terms based only on the display of abstracts. We found that MeSH terms were more useful for domain experts than for search experts in terms of the precision measure, even though domain experts did not perceive that MeSH terms were useful. We speculate that because of the technical topics, only the domain experts had the knowledge to understand and therefore make use of the MeSH terms. The primary contributions of this research are: (1) assessment of relative impact of searchers characteristics of domain knowledge and search training on search effectiveness and (2) design and methodology for assessing the usefulness of controlled vocabulary. The effort to create MeSH terms is worthwhile for domain experts' searches on technical topics.

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Interactive thesaurus navigation: Intelligence rules OK?

Cited by 57 publications

References 8 publications

User evaluation of ontology as query construction tool

User evaluation of ontology as query construction tool

A Survey of Automatic Query Expansion in Information Retrieval

The impact of MeSH (Medical Subject Headings) terms on information seeking effectiveness

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