Search (236 results, page 2 of 12)

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Abstract

Reports on a Centre for Information Quality Management (CIQM) BLRRD funded project which investigated the quality of databases in general use in the UK. Gives a literature review of quality in library and information services. Reports the results of a CIQM questionnaire survey on the quality problems of databases and their affect on users. Carries out databases evaluations of: INSPEC on ESA-IRS, INSPEC on KR Data-Star, INSPEC on UMI CD-ROM, BNB on CD-ROM, and Information Science Abstracts Plus CD-ROM. Sets out a methodology for evaluation of bibliographic databases

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Date

20.10.2000 12:22:23

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Source

Online. 22(1998) no.6, S.57-58

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Date

11. 8.2001 16:22:19

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Date

22. 7.2006 18:43:54

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Series

The Kluwer International series on information retrieval

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Abstract

Reports of the results of experiments on query evaluation on the presence of noisy data, in particular, an OCR-generated database and its corresponding 99.8 % correct version are used to process a set of queries to determine the effect the degraded version will have on retrieval. With the set of scientific documents used in the testing, the effect is insignificant. Improves the result by applying an automatic postprocessing system designed to correct the kinds of errors generated by recognition devices

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Abstract

Comments on the relative rarity of research articles on theoretical aspects of subject indexing in computerised retrieval systems and the predominance of articles on software packages and hardware. Concludes that controlled indexing still has a future but points to major differences from the past

Source

Computers in libraries international 91. Proceedings of the 5th Annual Conference on Computers in Libraries, London, February 1991

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Abstract

Searching for information on the WWW basically comes down to locating an appropriate Web site and to retrieving relevant information from that site. This study examined the effect of a user's WWW experience on both phases of the search process. 35 students from 2 schools for Dutch pre-university education were observed while performing 3 search tasks. The results indicate that subjects with WWW-experience are more proficient in locating Web sites than are novice WWW-users. The observed differences were ascribed to the experts' superior skills in operating Web search engines. However, on tasks that required subjects to locate information on specific Web sites, the performance of experienced and novice users was equivalent - a result that is in line with hypertext research. Based on these findings, implications for training and supporting students in searching for information on the WWW are identified. Finally, the role of the subjects' level of domain expertise is discussed and directions for future research are proposed

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Abstract

Considers 2 non-Boolean searching systems available on commercial online systems. QUESTQUORUM, based on coordination level searching, was introduced by ESA/IRS in Dec. 85. TARGET, which employs partial match probabilistic retrieval was introduced by DIALOG in Dec 93. 6 subject searches were carried out on databases available on both Dialog and ESA/IRS to compare TARGET and QUESTQUORUM with Boolean searching. Outlines the main advantages of these tools, and their disadvantages. Suggests when their use may be preferable

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Abstract

In order to test the power of metadata on information retrieval, an experiment was designed and conducted on a group of 7 graduate students using the Dublin Core as the cataloguing metadata. Results show that, on average, the retrieval error rate is only 2.9 per cent for the MES system (http://140.136.85.194), which utilizes the Dublin Core to describe the documents on the World Wide Web, in contrast to 20.7 per cent for the 7 famous search engines including HOTBOT, GAIS, LYCOS, EXCITE, INFOSEEK, YAHOO, and OCTOPUS. The very low error rate indicates that the users can use the information of the Dublin Core to decide whether to retrieve the documents or not

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Abstract

This study sought to investigate the effects of cognitive style (field dependent and field independent) and on-line database search experience (novice and experienced) on the WWW search performance of undergraduate college students (n=48). It also attempted to find user factors that could be used to predict search efficiency. search performance, the dependent variable was defined in 2 ways: (1) time required for retrieving a relevant information item, and (2) the number of nodes traversed for retrieving a relevant information item. the search tasks required were carried out on a University Web site, and included a factual task and a topical search task of interest to the participant. Results indicated that while cognitive style (FD/FI) significantly influenced the search performance of novice searchers, the influence was greatly reduced in those searchers who had on-line database search experience. Based on the findings, suggestions for possible changes to the design of the current Web interface and to user training programs are provided

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Abstract

Based on a relatively large subset representing one third of the Medline collection, this paper evaluates ten different IR models, including recent developments in both probabilistic and language models. We show that the best performing IR models is a probabilistic model developed within the Divergence from Randomness framework [Amati, G., & van Rijsbergen, C.J. (2002) Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM-Transactions on Information Systems 20(4), 357-389], which result in 170% enhancements in mean average precision when compared to the classical tf idf vector-space model. This paper also reports on our impact evaluations on the retrieval effectiveness of manually assigned descriptors (MeSH or Medical Subject Headings), showing that by including these terms retrieval performance can improve from 2.4% to 13.5%, depending on the underling IR model. Finally, we design a new general blind-query expansion approach showing improved retrieval performances compared to those obtained using the Rocchio approach.

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Abstract

Purpose - The purpose of this paper is to examine how different aspects of an assessor's context, in particular their knowledge of a search topic, their interest in the search topic and their confidence in assessing relevance for a topic, affect the relevance judgements made and the assessor's ability to predict which documents they will assess as being relevant. Design/methodology/approach - The study was conducted as part of the Text REtrieval Conference (TREC) HARD track. Using a specially constructed questionnaire information was sought on TREC assessors' personal context and, using the TREC assessments gathered, the responses were correlated to the questionnaire questions and the final relevance decisions. Findings - This study found that each of the three factors (interest, knowledge and confidence) had an affect on how many documents were assessed as relevant and the balance between how many documents were marked as marginally or highly relevant. Also these factors are shown to affect an assessors' ability to predict what information they will finally mark as being relevant. Research limitations/implications - The major limitation is that the research is conducted within the TREC initiative. This means that we can report on results but cannot report on discussions with the assessors. The research implications are numerous but mainly on the effect of personal context on the outcomes of a user study. Practical implications - One major consequence is that we should take more account of how we construct search tasks for IIR evaluation to create tasks that are interesting and relevant to experimental subjects. Originality/value - Examining different search variables within one study to compare the relative effects on these variables on the search outcomes.

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Abstract

Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This paper reports on an analysis of the loss levels that would result if a bibliographic database, namely the Australian Education Index (AEI), were missing the subject descriptors and identifiers assigned by its professional indexers, employing the methodology developed by Gross and Taylor (2005), and later by Gross et al. (2015). The results indicate that AEI users would lose a similar proportion of hits per query to that experienced by library catalog users: on average, 27% of the resources found by a sample of keyword queries on the AEI database would not have been found without the subject indexing, based on the Australian Thesaurus of Education Descriptors (ATED). The paper also discusses the methodological limitations of these studies, pointing out that real-life users might still find some of the resources missed by a particular query through follow-up searches, while additional resources might also be found through iterative searching on the subject vocabulary. The paper goes on to describe a new research design, based on a before - and - after experiment, which addresses some of these limitations. It is argued that this alternative design will provide a more realistic picture of the value that professionally assigned subject indexing and controlled subject vocabularies can add to literature searching of a more scholarly and thorough kind.

Content

Beitrag bei: NASKO 2017: Visualizing Knowledge Organization: Bringing Focus to Abstract Realities. The sixth North American Symposium on Knowledge Organization (NASKO 2017), June 15-16, 2017, in Champaign, IL, USA.

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Abstract

This article discusses how samples of records for laboratory IR experiments on OPACs can be constructed so that results obtained from different experiments can be compared. The literature on laboratory IR experiments seems to indicate that the retrieval effectiveness (recall and precision) is affected by the way the samples of records for such experiments are generated. Especially the amount of records and the subject area coverage of the records seems to affect the retrieval effectiveness. This article contains suggestions for the construction of samples for laboratory IR experiments on OPACs and demonstrates that the retrieval effectiveness is affected by different sample size and composition.

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Abstract

Reports an evaluation of 3 methods for the expansion of natural language queries in ranked output retrieval systems. The methods are based on term co-occurrence data, on Soundex codes, and on a string similarity measure. Searches for 110 queries in a data base of 26.280 titles and abstracts suggest that there is no significant difference in retrieval effectiveness between any of these methods and unexpanded searches