Search (61 results, page 2 of 4)

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Abstract

Reports on an analysis of lexical ambiguity in information retrieval text collections and on experiments to determine the utility of word meanings for separating relevant from nonrelevant documents. Results show that there is considerable ambiguity even in a specialised database. Word senses provide a significant separation between relevant and nonrelevant documents, but several factors contribute to determining whether disambiguation will make an improvement in performance such as: resolving lexical ambiguity was found to have little impact on retrieval effectiveness for documents that have many words in common with the query. Discusses other uses of word sense disambiguation in an information retrieval context

Source

ACM transactions on information systems. 10(1992) no.2, S.115-141

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Imprint

Medford, NJ : Learned Information

Source

Forging new partnerships in information: converging technologies. Proceedings of the 58th Annual Meeting of the American Society for Information Science, ASIS'95, Chicago, IL, 9-12 October 1995. Ed.: T. Kinney

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Abstract

Reports results of a study of 2 information retrieval systems on a 2.000 document full text medical database. The first system, SAPHIRE, features concept based automatic indexing and statistical retrieval techniques, while the second system, SWORD, features traditional word based Boolean techniques, 16 medical students at Oregon Health Sciences Univ. each performed 10 searches and their results, recorded in terms of recall and precision, showed nearly equal performance for both systems. SAPHIRE was also compared with a version of SWORD modified to use automatic indexing and ranked retrieval. Using batch input of queries, the latter method performed slightly better

Imprint

Medford, NJ : Learned Information Inc.

Source

Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw

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Footnote

Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.47-58.

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Source

Challenges to an information society : proceedings of the 47th ASIS annual Meeting, Philadelphia, Pennsylvania, October 21-25, 1984. Ed.: Barbara Flood

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Abstract

This article discusses indexing practices at the National Agriculture Library. Indexers at NAL scan over 2,200 incoming journals for input into its bibliographic database, AGRICOLA. The National Agriculture Library's coverage extends worldwide covering a broad range of agriculture subjects. Access to AGRICOLA occurs in several ways: onsite search, commercial vendors, Dialog Information Services, Inc. and BRS Information Technologies. The National Agricultural Library uses CAB THESAURUS to describe the subject content of articles in AGRICOLA.

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Source

Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira

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Abstract

This article revisits the debate concerning controlled and natural indexing languages, as used in searching the databases of the online hosts, in-house information retrieval systems, online public access catalogues and databases stored on CD-ROM. The debate was first formulated in the early days of information retrieval more than a century ago but, despite significant advance in technology, remains unresolved. The article divides the history of the debate into four eras. Era one was characterised by the introduction of controlled vocabulary. Era two focused on comparisons between different indexing languages in order to assess which was best. Era three saw a number of case studies of limited generalisability and a general recognition that the best search performance can be achieved by the parallel use of the two types of indexing languages. The emphasis in Era four has been on the development of end-user-based systems, including online public access catalogues and databases on CD-ROM. Recent developments in the use of expert systems techniques to support the representation of meaning may lead to systems which offer significant support to the user in end-user searching. In the meantime, however, information retrieval in practice involves a mixture of natural and controlled indexing languages used to search a wide variety of different kinds of databases

Source

Journal of information science. 20(1994) no.2, S.108-119

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Imprint

Alberta : Alberta University, School of Library and Information Studies

Source

Connectedness: information, systems, people, organizations. Proceedings of CAIS/ACSI 95, the proceedings of the 23rd Annual Conference of the Canadian Association for Information Science. Ed. by Hope A. Olson and Denis B. Ward

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Abstract

Subject indexing plays an important role in supporting subject access to information resources. Current subject indexing systems do not make adequate distinctions on the importance of assigned subject descriptors. Assigning numeric weights to subject descriptors to distinguish their importance to the documents can strengthen the role of subject metadata. Automated methods are more cost-effective. This study compares different automated weighting methods in different environments. Two evaluation methods were used to assess the performance. Experiments on three datasets in the biomedical domain suggest the performance of different weighting methods depends on whether it is an abstract or full text environment. Mutual information with bag-of-words representation shows the best average performance in the full text environment, while cosine with bag-of-words representation is the best in an abstract environment. The cosine measure has relatively consistent and robust performance. A direct weighting method, IDF (Inverse Document Frequency), can produce quick and reasonable estimates of the weights. Bag-of-words representation generally outperforms the concept-based representation. Further improvement in performance can be obtained by using the learning-to-rank method to integrate different weighting methods. This study follows up Lu and Mao (Journal of the Association for Information Science and Technology, 66, 1776-1784, 2015), in which an automated weighted subject indexing method was proposed and validated. The findings from this study contribute to more effective weighted subject indexing.

Source

Journal of the Association for Information Science and Technology. 69(2018) no.1, S.121-133

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Abstract

The wealth of chemical information on the INSPEC database is easily retrieved using the printed subject indexes to the associated abstract journals. However, this subject indexing is insufficient for machine retrieval, and free-text searching has special difficulties. An easy-to-use retrieval system has been developed which overcomes many problems, especially the retrieval of non-stoichiometric compositions, which are a feature solid-state chemistry. The scheme is limited to inorganic material, but allows flexibility and identification of dopants, interfaces and surfaces or substrates. At the same time, a system has been introduced for the online retrieval of numerical data included in the data base. This has successfully standardized the way in which such data is held for searching, enabling further refinement of searches where numerical information is significant

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Abstract

Automatic keyword extraction is an important and fundamental technology in an advanced information retrieval systems. Briefly compares several major keyword extraction methods, lists their advantages and disadvantages, and reports recent research progress in Taiwan. Also describes the application of a keyword extraction algorithm in an information retrieval system for relevance feedback. Preliminary analysis shows that the error rate of extracting relevant keywords is 18%, and that the precision rate is over 50%. The main disadvantage of this approach is that the extraction results depend on the retrieval results, which in turn depend on the data held by the database. Apart from collecting more data, this problem can be alleviated by the application of a thesaurus constructed by the same keyword extraction algorithm

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Source

Journal of information science. 18(1992) no.5, S.399-408

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Abstract

Indexing consistency between Library of Congress and British Library catalogers using the LCSH is compared.82 titles published in 1987 in the field of library and information science were identified for comparison, and for each title its LC subject headings, assigned by both LC and BL catalogers, were compared. By applying Hooper's 'consistency of a pair' equation, the average indexing consistency value was calculated for the 82 titles. The average indexing value between LC and BL catalogers is 16% for exact matches, and 36% for partial matches

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Abstract

Describes information system and its various components-index file construstion, query formulation and searching. Discusses an indexing system, and brings out the need for its evaluation. Explains the concept of the efficiency of indexing systems and discusses factors which control this efficiency. Gives criteria for evaluation. Discusses recall and precision ratios, as also noise ratio, novelty ratio, and exhaustivity and specificity and the impact of each on the efficiency of indexing system. Mention also various steps for evaluation.

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Imprint

The Hague : International Federation for Information and Documentation (FID)

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Abstract

The paper discusses the consistency of fiction indexing of library professionals and patrons based on an empirical test. Indexing was carried out with a Finnish fictional thesaurus and all of the test persons indexed the same five novels. The consistency of indexing was determined to be low; several reasons are postulated. Also an algorithm for typified indexing of fiction is given as well as some suggestions for the development of fiction information retrieval systems and content representation.