scholarly journals Machine translation and author keywords: A viable search strategy for scholars with limited English proficiency?

2019 ◽  
Vol 29 (1) ◽  
pp. 13
Author(s):  
Lynne Bowker
Keyword(s):  
Machine Translation ◽  
Limited English Proficiency ◽  
Search Strategy ◽  
Information Science ◽  
English Proficiency ◽  
Library And Information Science ◽  
Knowledge Organization Systems ◽  
English Translations ◽  
Author Keywords ◽  
Search For Information

Author keywords are valuable for indexing articles and for information retrieval (IR). Most scientific literature is published in English. Can machine translation (MT) help researchers with limited English proficiency to search for information? We used two MT systems (Google Translate, DeepL Translator) to translate into English 71 Spanish keywords and 43 French keywords from articles in the domain of Library and Information Science. We then used the English translations to search the Library, Information Science and Technology Abstracts (LISTA) database. Half of the translated keywords returned relevant results. Of the half that did not, 34% were well translated but did not align with LISTA descriptors. Translation-related problems stemming from orthographic variation, synonymy, differing syntactic preferences, and semantic field coverage interfered with IR in just 16% of cases. Some of the MT errors are relatively “predictable” and if knowledge organization systems could be augmented to deal with them, then MT may prove even more useful for searching.

Digital humanities research: interdisciplinary collaborations, themes and implications to library and information science

2020 ◽  
Vol 77 (1) ◽  
pp. 143-161
Author(s):  
Fangli Su ◽  
Yin Zhang ◽  
Zachary Immel
Keyword(s):  
Digital Humanities ◽  
Information Science ◽  
Interdisciplinary Collaboration ◽  
Library And Information Science ◽  
Research Topics ◽  
Content Type ◽  
Interdisciplinary Collaborations ◽  
Author Keywords ◽  
Structure Patterns ◽  
Over Time

PurposeThe purpose of this paper is to examine the structure, patterns and themes of interdisciplinary collaborations in the digital humanities (DH) research through the application of social network analysis and visualization tools.Design/methodology/approachThe sample includes articles containing DH research in the Web of Science Core Collection as of December 2018. First, co-occurrence data representing collaborations among disciplinary were extracted from the subject category. Second, the descriptive statistics, network indicators and interdisciplinary communities were calculated. Third, the research topics of different interdisciplinary collaboration communities based on system keywords, author keywords, title and abstracts were detected.FindingsThe findings reveal that while the scope of disciplines involved in DH research is broad and evolving over time, most interdisciplinary collaborations are concentrated among several disciplines, including computer science, library and information science, linguistics and literature. The study further uncovers some communities based on closely collaborating disciplines and the evolving nature of such interdisciplinary collaboration communities over time. To better understand the close collaboration ties, the study traces and analyzes the research topics and themes of the interdisciplinary communities. Finally, the implications of the findings for DH research are discussed.Originality/valueThis study applied various informetric methods and tools to reveal the collaboration structure, patterns and themes among disciplinaries in DH research.

scholarly journals Library and Information Science Papers Discussed on Twitter: A new Network-based Approach for Measuring Public Attention

2020 ◽  
Vol 5 (3) ◽  
pp. 5-17 ◽  
Author(s):  
Robin Haunschild ◽  
Loet Leydesdorff ◽  
Lutz Bornmann
Keyword(s):  
Quantitative Research ◽  
Information Science ◽  
Research Evaluation ◽  
Library Science ◽  
Library And Information Science ◽  
Public Attention ◽  
Twitter Data ◽  
Author Keywords ◽  
Scientific Discourses ◽  
The Impact

AbstractPurposeIn recent years, one can witness a trend in research evaluation to measure the impact on society or attention to research by society (beyond science). We address the following question: can Twitter be meaningfully used for the mapping of public and scientific discourses?Design/methodology/approachRecently, Haunschild et al. (2019) introduced a new network-oriented approach for using Twitter data in research evaluation. Such a procedure can be used to measure the public discussion around a specific field or topic. In this study, we used all papers published in the Web of Science (WoS, Clarivate Analytics) subject category Information Science & Library Science to explore the publicly discussed topics from the area of library and information science (LIS) in comparison to the topics used by scholars in their publications in this area.FindingsThe results show that LIS papers are represented rather well on Twitter. Similar topics appear in the networks of author keywords of all LIS papers, not tweeted LIS papers, and tweeted LIS papers. The networks of the author keywords of all LIS papers and not tweeted LIS papers are most similar to each other.Research limitationsOnly papers published since 2011 with DOI were analyzed.Practical implicationsAlthough Twitter data do not seem to be useful for quantitative research evaluation, it seems that Twitter data can be used in a more qualitative way for mapping of public and scientific discourses.Originality/valueThis study explores a rather new methodology for comparing public and scientific discourses.

scholarly journals PERILAKU PENCARIAN INFORMASI MAHASISWA DALAM MEMENUHI KEBUTUHAN INFORMASI SEBELUM DAN SAAT PANDEMI COVID-19

2021 ◽  
Vol 16 (1) ◽  
pp. 21
Author(s):  
Muhammmad Nurfadillah ◽  
Ardiansah Ardiansah
Keyword(s):  
Information Seeking ◽  
Quantitative Research ◽  
Information Needs ◽  
Information Science ◽  
Information Seeking Behavior ◽  
Library And Information Science ◽  
Long Distance ◽  
Seeking Behavior ◽  
Search For Information ◽  
Virus Spreading

The Covid-19 pandemic has brought changes to every aspect of life, one of which is education. Due to these circumstances, conventional learning has turned into online learning to avoid potential virus-spreading in university clusters, and UPI Library and Information Science 2019 students must follow the policy. The study aims to determine the information-seeking behavior of university students in meeting their information needs and differences in information-seeking behavior before and during the Covid-19 pandemic. This study method uses a descriptive quantitative research method. The sample of this research is students who experience two types of learning, conventional learning (in the classroom) and long-distance learning (online class). The results of this study indicate that there are differences in information-seeking behavior of UPI Library and Information Science 2019 students before and during the Covid-19 pandemic both in terms of motivation, place, sources, strategies, and obstacles in finding information. This is shown from the percentages of respondents' answers that show a decrease in physical activity such as visiting the library and a decrease in the use of printed media in finding information during the Covid-19 pandemic. On the other hand, the use of electronic and online-based media to search for information such as e-journal catalogs is increasing, and the use of electronic information sources has also increased during the Covid-19 pandemic.

Collaboration clusters, interdisciplinarity, scope and subject classification of library and information science research from Africa: An analysis of Web of Science publications from 1996 to 2015

2020 ◽  
Vol 52 (4) ◽  
pp. 1169-1185 ◽  
Author(s):  
Toluwase Victor Asubiaro ◽  
Oluwole Martins Badmus
Keyword(s):  
Information Science ◽  
Web Of Science ◽  
Science Research ◽  
Library And Information Science ◽  
North African ◽  
African Countries ◽  
The North ◽  
Subject Classifications ◽  
Author Keywords ◽  
North African Countries

This study investigated the trends in the scope and subject classifications of library and information science research from authors that are affiliated with institutions in Africa. Library and information science journal articles and conference proceedings from the 54 African countries that were published between 2006 and 2015 and indexed in the Web of Science were retrieved for the study. After the removal of non-relevant articles and articles that were not available online, the library and information science publications were classified based on subject and scope. Results from the analysis of author keywords, country of affiliation, subject and scope classification were also visualized in network maps and bar charts. Frequency analysis shows that though computer science had the most profound influence on Africa’s library and information science research, its influence came to prominence in 2004. Furthermore, North African countries exhibited features that are different from the rest of Africa; they contributed most on core computer classifications while other African countries focused more on the social science-related aspects of library and information science. Unlike other regions in Africa, the North African countries also formed a dense collaboration cluster with strong interests in subjects that are conceptual and global in scope. The collaboration clustering analysis revealed an influence of some colonial languages of as a basis for forging strong collaboration between African and non-African countries. On the other hand, African countries tend to collaborate more with countries in their regions. Lastly, human computer interaction and library and information science history subject classifications were almost nonexistent. It is recommended that further studies should investigate why certain subject classifications are not well represented.

scholarly journals Developing an Electronic Search Strategy Algorithm for Detecting Professional Interpreter Use among Patients with Limited English Proficiency: A Derivation and Validation Study

2020 ◽  
Author(s):  
Jalal Soleimani ◽  
Alberto Marquez ◽  
Timothy Weister ◽  
Amelia Barwise
Keyword(s):  
Limited English Proficiency ◽  
Chart Review ◽  
Search Strategy ◽  
English Proficiency ◽  
High Sensitivity ◽  
Interpreter Services ◽  
Interpreter Use ◽  
Specificity And Sensitivity ◽  
Professional Interpreter ◽  
Time Required

Abstract Background Evidence exists that disparities occur for patients with Limited English Proficiency (LEP) that impact the quality of medical services, outcomes, and patient satisfaction. Using interpreter services can reduce these negative impacts; therefore optimizing our understanding of interpreter use during patient care is important. Manual chart review is time-consuming. The objective of this study was to develop and validate a search strategy algorithm to detect patients who used professional interpreter services during their hospitalization. Methods We identified all adults who were admitted to the hospital who had at least one Intensive Care Units (ICU) admission during the hospital stay across the Mayo Clinic Enterprise between January 1, 2015, and June 30, 2020. Three random subsets of 100 patients were extracted from 60,268 patients admitted to an ICU to develop the search strategy algorithm. A physician reviewer conducted the gold standard manual chart review and these results were compared with the search strategy algorithm each time it was refined. Iterative modification of the search strategy was performed and sensitivity and specificity were calculated by comparing the results to the reference standard for both derivation cohorts and the final validation cohort. Any uncertainties were resolved by a second physician researcher. Results The first search strategy resulted in a specificity of 95.7% and a sensitivity of 93.5%. The second revised search strategy achieved a specificity of 96.7% and a sensitivity of 92.3%. The final version of the search strategy was applied to the validation subset and specificity and sensitivity were 92.6% and 100% respectively. Conclusion We successfully derived and validated a search strategy algorithm to assess interpreter use among hospitalized patients. Developing a search strategy algorithm with a high sensitivity can reduce the time required to abstract data from the medical record compared to manual chart review. This can be used to examine and understand patient needs for research and quality improvement initiatives.

scholarly journals Work

2019 ◽  
Vol 46 (4) ◽  
pp. 308-319
Author(s):  
Richard P. Smiraglia
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Knowledge Organization ◽  
Library And Information Science ◽  
Intellectual Content ◽  
Large Sets ◽  
Knowledge Organization Systems ◽  
Entity Relationship ◽  
Mental Constructs ◽  
Over Time

A work is a deliberately created informing entity intended for communication. A work consists of abstract intellectual content that is distinct from any object that is its carrier. In library and information science, the importance of the work lies squarely with the problem of information retrieval. Works are mentefacts-intellectual (or mental) constructs that serve as artifacts of the cultures in which they arise. The meaning of a work is abstract at every level, from its creator’s conception of it, to its reception and inherence by its consumers. Works are a kind of informing object and are subject to the phenomenon of instantiation, or realization over time. Research has indicated a base typology of instantiation. The problem for information retrieval is to simultaneously collocate and disambiguate large sets of instantiations. Cataloging and bibliographc tradition stipulate an alphabetico-classed arrangement of works based on an authorship principle. FRBR provided an entity-relationship schema for enhanced control of works in future catalogs, which has been incorporated into RDA. FRBRoo provides an empirically more precise model of work entities as informing objects and a schema for their representation in knowledge organization systems.

Serving Children With Limited English Proficiency in the Schools

1994 ◽  
Vol 25 (3) ◽  
pp. 156-164 ◽  
Author(s):  
Celeste A. Roseberry-McKibbin ◽  
Glenn E. Eicholtz
Keyword(s):  
Limited English Proficiency ◽  
English Proficiency
Sign in / Sign up

Export Citation Format

Share Document