2,484,431 research outputs found
Tagging of Biomedical Articles on CiteULike: A Comparison of User, Author and Professional Indexing
Get PDFThis paper examines the context of online indexing from the viewpoint of three different groups: users, authors, and professional indexers. User tags, author keywords and descriptors were collected from academic journal articles, which were both indexed in Pubmed and tagged on CiteULike, and analysed. Descriptive statistics, informetric measures, and thesaural term comparison shows that there are important differences in the use of keywords between the three groups in addition to similarities which can be used to enhance support for search and browse. While tags and author keywords were found that matched descriptors exactly, other terms which did not match but provided important expansion to the indexing lexicon were found. These additional terms could be used to enhance support for searching and browsing in article databases as well as to provide invaluable data for entry vocabulary and emergent terminology for regular updates to indexing systems. Additionally, the study suggests that tags support organisation by association to task, projects and subject while making important connections to traditional systems which classify into subject categories
Keywords given by authors of scientific articles in database descriptors
Get PDFThis paper analyses the keywords given by authors of scientific articles and the descriptors assigned to the articles in order to ascertain the presence of the keywords in the descriptors. 640 INSPEC, CAB abstracts, ISTA and LISA database records were consulted. After detailed comparisons it was found that keywords provided by authors have an important presence in the database descriptors studied, since nearly 25% of all the keywords appeared in exactly the same form as descriptors, with another 21% while normalized, are still detected in the descriptors. This means that almost 46% of keywords appear in the descriptors, either as such or after normalization. Elsewhere, three distinct indexing policies appear, one represented by INSPEC and LISA (indexers seem to have freedom to assign the descriptors they deem necessary); another is represented by CAB (no record has fewer than four descriptors and, in general, a large number of descriptors is employed; in contrast, in ISTA, a certain institutional code towards economy in indexing, since 84% of records contain only four descriptors
User, Author and Professional Indexing in Context: An Exploration of Tagging Practices on CiteULike
Get PDFThis paper examines the context of online indexing from the viewpoint of three different groups: users, authors, and intermediaries. User, author and intermediary keywords were collected from journal articles tagged on CiteULike and analysed. Descriptive statistics, informetric measures, and thesaural term comparison shows that there are important differences in the context of keywords from the three groups
Complementary or Discrete Contexts in Online Indexing : A Comparison of User, Creator, and Intermediary Keywords.
Get PDFThis paper (forthcoming in the Canadian Journal of Information and Library Science) and presented at the CAIS Conference in 2006 examines the context of online indexing from the viewpoint of three different groups: users, authors, and intermediaries. User, author and intermediary keywords were collected from journal articles tagged on citeulike and analysed. Descriptive statistics and thesaural term comparison shows that there are important differences in the context of keywords from the three groups
Classification of keywords selected from research articles on physics and development of a quantitative subject access tool
Get PDFAll research articles begin with a title. Most include an abstract. Several include keywords. All three of these features describe an article’s content in details. The title sends an instant reflection of the central theme of the research topic. The abstract summarizes the content. The keywords indicate the core and allied fields of concern. The researchers and indexers quickly and easily locate particular articles within their areas of interest with the aid of keywords. Keywords hold prime importance in abstracting and indexing services. Keywords play major role in information retrieval function. This paper is based on analysis of 14,221 keywords collected from 2,526 research articles published in three journals, viz. Chaos, Physics of plasmas and Low temperature physics since 2006 to 2012. Out of all these author-assigned keywords, the number of distinct bits obtained was 2571. After collection, the lexically close keywords are identified that form clusters. Several such clusters are found and the composition of keywords in nearly all clusters varies over the said time span. Four indicators have been defined on the basis of fluctuating keyword composition within clusters. The name given to these four indicators are stability index, integrated visibility index, momentary visibility index and potency index respectively. These indicators hold different values for different clusters. The value ranges of them are categorized in five groups, viz. very high, high, medium, low and very low. A new quantitative subject access tool has been proposed on the basis of these indicators, which can predict the probable new and obsolete keywords in any subject domain. The name given to this new tool is keysaurus, i.e. keyword-based-thesaurus
An analytical model for investigation of some characteristics of the keywords of the subject Fermi Liquid: a case study
Get PDFThis paper is based on an analytical study of modes of occurrence of keywords devoted to the subject Fermi Liquid, which is a specific domain under the broad area of condensed matter physics. Eight quantitative indicators have been defined and developed here on the basis of some parameters associated with keywords and keyword clusters. At least three keywords with a common phrase have been defined as a keyword cluster in this study. The numerical values of the indicators have been calculated for 2562 keyword-clusters, 916 keyword-couples and 4329 single keywords in all, though only top 20 keywords/keyword clusters are selected in decreasing order of numerical values of each indicator for presenting in this paper. The keywords were extracted from titles and abstracts of 6371 research articles devoted to the subject Fermi Liquid, which were collected from the bibliographic database of INSPEC and COMPENDEX, over the time span of twenty years (1985-2004). In total, 67 keywords/keyword clusters are presented here, which appeared 160 times within top 20 ranks (8*20=160) against eight indicators. A keyword cluster consists of at least three keywords and 665 keywords as studied here. The keyword-couples consist of two keywords only. There is no question of forming any cluster by the single keywords. The variations of numerical values of all indicators with the rank of keyword/keyword clusters are shown graphically. The mathematical functions followed by each variational pattern are also discussed
Co-occurrence analysis of author keywords.
No full text(A) The network visualization of total author keywords (2,656 items) was conducted. (B) The overlay visualization of co-occurrence analysis of author keywords was presented in VOSviewer, the Weight was an occurrence, and Scores were the average published year. (C) The crosstalk of author keywords was presented.</p
Classification of Keywords Extracted from Research Articles Published in Science Journals
Get PDFThis paper is based on an analytical study of 335 keywords extracted from titles and abstracts of 70 research articles, taking ten from each year starting from 2000 to 2006, in decreasing order of relevance, on the subject Fermi Liquid, which is a specific subject under the broad area of Condensed Matter Physics. The research articles have been collected from the bibliographic database of INSPEC. The keywords are indexed to critically examine its physical structure that is composed of three fundamental kernels, viz. keyphrase, modulator and qualifier. The keyphrase reflects the central concept, which is usually post-coordinated by the modulator to amend the central concept in accordance with the relevant context. The qualifier comes after the modulator to describe the particular state of the central concept and/or amended concept. The keywords are further classified in 16 classes on the basis of the four parameters, viz. Associativeness, chronological appearance, frequency of occurrence and category. The taxonomy of keywords will enable to analyze research-trend of a subject and to identify potential research-areas of a subject
Content management by keywords: An analytical Study
Get PDFVarious methods of content analysis are described with special emphasis to keyword analysis. The paper is based on an analytical study of 97 keywords extracted from titles and abstracts of 70 research articles from INSPEC, taking ten from each year starting from 2000 to 2006, in decreasing order of relevance, on Fermi Liquid, which is a specific subject under Condensed Matter Physics. The keywords beginning with the letters ‗A‘ to ‗F‘ only are considered for this study. The keywords are indexed to critically examine its physical structure that is composed of three fundamental kernels, viz. key phrase, modulator and qualifier. The key phrase reflects the central concept, which is usually post-coordinated by the modulator to amend the central concept in accordance with the relevant context. The qualifier comes after the modulator to describe the particular state of the central concept and/or amended concept. The keywords are further classified in 36 classes on the basis of the 10 parameters, of which 4 parameters are intrinsic, i.e. associativeness, chronological appearance, frequency of occurrence and category; and remaining 6 parameters are extrinsic, i.e. Clarity of meaning, type of meaning, scope of meaning, level of perception, mode of creation and area of occurrence. The number of classes under 4 intrinsic parameters is 16, while the same under 6 extrinsic parameters are 20. A new taxonomy of keywords has been proposed here that will help to analyze research-trend of a subject and also identify potential research-areas under its scope
Ontology-based Interpretation of Keywords for Semantic Search
Get PDFTran DT, Cimiano P, Rudolph S, Studer R. Ontology-based Interpretation of Keywords for Semantic Search. In: Aberer K, Choi K-S, Fridman Noy N, et al., eds. The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007. Lecture Notes in Computer Science, 4825. Berlin, Heidelberg, New York: Springer; 2007: 523-536
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