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Mukhopadhyay, Parthasarathi
- Cataloguing Theses and Dissertations: Designing an Integrated Processing and Retrieval System
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Authors
Affiliations
1 Central Library, The University of Burdwan, Burdwan 713104, IN
2 Department of Library and Information Science, The University of Burdwan, Burdwan 713 104, IN
1 Central Library, The University of Burdwan, Burdwan 713104, IN
2 Department of Library and Information Science, The University of Burdwan, Burdwan 713 104, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 48, No 4 (2011), Pagination: 377-388Abstract
Theses and dissertations in print and electronic format are valuable academic resources. These resources must be available to scholars. Library catalogues serve as resource discovery tools to find these valuable academic documents. In view of the importance of organization and access to these resources, this paper explores cataloguing of theses and dissertations and its retrieval along with other types of documents in an integrated processing environment. The software framework that provides integrated processing and retrieval environment is based on open source software and open standards. Designing of the framework takes into consideration shortcomings of the popular library automation software implemented in India.Keywords
ETD Cataloguing, ETD-MS and MARC-21 Mapping, Theses Retrieval, ETD Management in Library Automation.References
- Wolverton (Robert E) et al. Electronic theses and dissertations: developing standards and changing practices for libraries and universities. London: Routledge, 2009, p22.
- Chowdhury (G G). Introduction to modern information retrieval. London: Library Association Publishing, 1999, p17-19.
- Frank (Ilene); Rowe (Walter C). Indexing and accessing electronic theses and dissertations: some concerns for users. In Edward A Fox … et al. (Eds.), Electronic theses and dissertations: a sourcebook for educators, students, and librarians. New York: Marcel Dekker, 2004, p343-353.
- VijayKumar (J K); Murthy (T A V). Need of a digital library for Indian theses and dissertations: a model on par with the ETD initiatives at international level. Retrieved August 24, 2007, from http://eprints.rclis.org/ archive/00005655/
- Urs (Shalini R). Vidyanidhi- the evolving Indian digital library of electronic theses initiative. Retrieved August 12, 2008, from http://edoc.huberlin.de/conferences/etd2003/urs-shalini/PDF/urs.pdf
- VijayKumar (J K) et al. Introducing ETDs in universities: an Indian perspective. Retrieved August 12, 2008, from http://eprints.rclis.org/5670/3/vijaykumar_jk-paper.pdf
- University Grants Commission (2005). UGC (Submission of Metadata and Full-text of Doctoral Theses in Electronic Format) Regulations, 2005. Retrieved June 25, 2007, from www.ugc.ac.in/new_initiatives/ etd_hb.pdf
- Fox (Edward A) et al. (Eds.) Electronic theses and dissertations: a sourcebook for educators, students, and librarians. New York: Marcel Dekker, 2004.
- Wolverton, Op. cit.,
- http://www.inflibnet.ac.in/soul/ (Retrieved February 17, 2010).
- http://www.libsys.co.in/ (Retrieved February 17, 2010).
- http://lib.unipune.ernet.in:8080/opac/html (Retrieved February 17, 2010).
- http://www.caluniv.ac.in/opac/index.html (Retrieved February 17, 2010).
- http://libvtlssrv.jnu.ac.in:8000 (Retrieved May 21, 2010).
- http://www.ndltd.org/standards/metadata/etd-ms-v1.00-rev2.html (Retrieved August 12, 2008)
- Webometric Analysis of Top Ten Asian and Indian Universities:An Analytical Overview
Abstract Views :305 |
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Authors
Affiliations
1 Central Library, IIT Kharagpur, Kharagpur - 721302, West Bengal, IN
2 University of Kalyani, Nadia - 741235, West Bengal, IN
1 Central Library, IIT Kharagpur, Kharagpur - 721302, West Bengal, IN
2 University of Kalyani, Nadia - 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 2 (2016), Pagination: 119-127Abstract
The paper tries to assess all the existing ranking systems which are used to rank higher educational institutions. The aim of the paper is to provide sufficient background to design and develop a new ranking system for a country. An attempt has been taken to find out the reasons of low ranking of Indian universities with respect to the world university ranking through webometric analysis of top ten Indian and Asian universities. A comparative study of top Ten Indian Universities and Asian universities is made with respect to significant web indicators, which are frequently used in ranking purpose. The results found that there is a significant difference of values of webpages, backlinks, rich files, Google Scholar and research publications between these top Ten Asian Universities and Indian universities.Keywords
Webometric Analysis, University Ranking, Indian Universities, Asian Universities.References
- Academic Ranking of World Universities (ARWU) Retrieved dated August 27, 2015 from http://www.shanghairanking.com/
- Jalal, S.K (2012). Indian Universities on the Web: Analysis of hyperlinks through the applications of webometric tools and techniques (PhD Thesis), University of Burdwan.
- Almind, T.C., &Ingwersen, P. (1997). Informetric Analysis on the World Wide Web: MethodologicalApproaches to Webometrics.Journal of Documentation, 53(4), 404-426;
- CheckPageRank (n.d). Retrieved dated 30 August 2015 fromhttp://checkpagerank.net/index.php
- Jacso, P(2005). Google Scholar: the pros and the cons. Online Information Review, 29(2); 208 – 214
- Price, G. (2004). Google Scholar documentation and large PDF files. Retrieved dated August 30, 2015 fromhttp://blog.searchenginewatch.com/blog/041201-105511
- Use Ahrefs Ranking Instead Of Dead Page Rank (n.d). https://blog.ahrefs.com/use-ahrefs-ranking-instead-of-dead-page-rank/
- Understand DoFollow&Nofollow Link: SEO Basics. Retrieved dated 30 August 2015 from http://www.shoutmeloud.com/understand-dofollow-nofollow-link-seo-basics.html
- Library Carpentry: Towards a New Professional Dimension (Part I – Concepts and Case Studies)
Abstract Views :330 |
PDF Views:9
Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 2 (2021), Pagination: 67-80Abstract
The domain of library and information science is always on the move and LIS professionals are ardent users of emerging technologies. This research work discusses an emerging possibility in the LIS domain, which applies data science principles and techniques in the bibliographic world. The concept is known as library carpentry and involves different data wrangling techniques to get insight of bibliographic datasets. The discussion starts with the basic concepts of library carpentry and systematically reveals the components and methods of library carpentry with the help of three case studies. The case studies represent a variety of actual problem solving projects by using open datasets and open source data wrangling software called Openrefine. The case study (I) deals with the application of library carpentry in e-book selection by taking into consideration socio-academic web space data, the case study (II) shows how is it possible to quickly get an overview of institutional contributions to open access domain by applying library carpentry methods and the case study (III) demonstrates the process of gender analysis with the help of a name-to-gender inference service and by applying data wrangling techniques. Each case study is supported by a comprehensive and representative dataset to support and promote real-life problem solving in processional sphere by applying library carpentry methods.Keywords
Application Program Interface (API), Data Carpentry, Data Wrangling, General Refine Expression Language (GREL), JavaScript Object Notation (JSON), OpenrefineReferences
- Atwood, T. et al (2019). Joining together to build more: The New England software carpentry Library consortium. Journal of EScience Librarianship, 8(1). https://doi.org/10.7191/jeslib.2019.1161.
- Baker, J. et al . (2016). Library carpentry: Software skills training for library professionals. LIBER Quarterly, 26(3): 141-162. https://doi.org/10.18352/lq.10176.
- Burton, M., Lyon, L., Erdmann, C. and Tijerina, B. (2018). Shifting to Data Savvy: The future of data science in libraries [Monograph]. University of Pittsburgh. http://d-scholarship.pitt.edu/33891/.
- Cope, J. and Baker, J. (2017). Library carpentry: Software skills training for library professionals. International Journal of Digital Curation, 12(2): 266-273. https://doi.org/10.2218/ijdc.v12i2.576.
- Deardorff, A. (2020). Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows. PLOS ONE, 15(7): e0230697. https://doi.org/10.1371/journal.pone.0230697. PMid:32639955 PMCid:PMC7343163.
- Dennis, T. (2017). Positioning libraries to support data science. https://doi.org/10.5281/zenodo.1009480.
- Dennis, T., Chodacki, J. and Schneider, J. (2017). Taking the carpentry model to librarians. Presented at the CNI Fall 2017 Meeting. https://doi.org/10.5281/zenodo.1209481.
- Mani, N. S., Cawley, M., Henley, A., Triumph, T. and Williams, J. M. (2021). Creating a data science framework: a model for academic research libraries. Journal of Library Administration, 1-22. https://doi.org/10.1080/01930826.2021.1883366.
- Verborgh, R. and Wilde, M. D. (2013). Using OpenRefine (Revised ed. edition). Packt Publishing.
- Virkus, S. and Garoufallou, E. (2020). Data science and its relationship to library and information science: A content analysis. Data Technologies and Applications, 54(5): 643-663. https://doi.org/10.1108/DTA-07-20200167.
- Wilkinson, M. D. et al (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3(1): 160018. https://doi.org/10.1038/sdata.2016.18. PMid:26978244 PMCid:PMC4792175
- Wouter, K. (2019). IFLA -- a concept framework for data science in libraries. A Concept paper. https://www.ifla.org/publications/node/92282.
- Library Carpentry: Towards a New Professional Dimension (Part II – Automatic Authority Control to Enhance Retrieval)
Abstract Views :374 |
PDF Views:5
Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 3 (2021), Pagination: 135-155Abstract
Authority control for bibliographic data management in Indian libraries is generally a neglected area and thereby library OPACs of the country (including OPAC of the National Library) supports only the finding function of a catalogue and not the collocating function. In this context, the part II of the three part series on library carpentry (part I has been published in April issue) is an attempt to apply library carpentry methods in building authority datasets from scratch. It deals with the methodologies for developing authority datasets by applying data wrangling techniques and subsequent transformations of these datasets into ready-to-import MARC 21 format (for authority data). Like the previous part of the series, this research study is also represented through a case study. The case study narrates development of geographic name authority datasets for - states and union territories (level I), districts of India (level II), sub-districts (level III) and community development blocks of India (level IV). It also demonstrates that how the merged geographic name authority file for India can be implemented in an open source ILS and can become instrumental in enhancing retrieval efficiency through geodetic search feature in an open source library discovery system. It concludes that the proposed mechanisms and methodology (supported with proofs of the concept) may lead to a new era of authority-controlled cataloguing in Indian libraries.Keywords
Authority Data, Data Reconciliation, Geodetic Search, Geographic Name Authority, Geospatial Data, Linked Open Data (LOD), Openrefine.References
- Allison-Cassin, S. and Scott, D. (2018). Wikidata: A platform for your library’s linked open data. The Code4Lib Journal, 40. https://journal.code4lib.org/articles/13424.
- Anderson, B. (1992). Authority control: Whose pain is it? Library Acquisitions: Practice & Theory, 16(1), 63-66. https://doi.org/10.1016/0364-6408(92)90111-5.
- Bensmann, F., Zapilko, B. and Mayr, P. (2017). Interlinking large-scale library data with authority records. Frontiers in Digital Humanities, 4. https://doi.org/10.3389/fdigh.2017.00005.
- Carlson, S. and Seely, A. (2017). Using Openrefine’s reconciliation to validate local authority headings. https://doi.org/10.1080/01639374.2016.1245693.
- Diaz-Valenzuela, I., Martín-Bautista, M. J. and Vila, M. A. (2010). An automatic data mining authority control system: A first approach. 2010 10th International Conference on Intelligent Systems Design and Applications, p. 569-574. https://doi.org/10.1109/ISDA.2010.5687205.
- Diaz-Valenzuela, I., Martin-Bautista, M. J., Vila, M.-A. and Campaña, J. R. (2013). An automatic system for identifying authorities in digital libraries. Expert Systems with Applications, 40(10), 3994-4002. https://doi.org/10.1016/j.eswa.2013.01.010.
- Dillon, M., Knight, R. C., Lospinuso, M. F. and Ulmschneider, J. (1981). The use of automatic indexing for authority control. Journal of Library Automation, 14, 268-277. https://doi.org/10.6017/ital.v14i4.5305.
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- Leiva-Mederos, A., A. Senso, J., Domínguez-Velasco, S. and Hípola, P. (2013). AUTHORIS: A tool for authority control in the semantic web. Library Hi Tech, 31(3), 536- 553. https://doi.org/10.1108/LHT-12-20112-0135.
- Library of Congress (2017). Frequently asked questions on establishing geographic names for NACO - name authority cooperative program of the PCC - program for cooperative cataloging (Library of Congress). NACO - Name Authority Cooperative Program. https://www.loc.gov/aba/pcc/naco/geogfaq.html.
- Library of Congress, Network Development and MARC Standards Office (NDMSO). (2020). Marc 21 format for authority data. MARC 21 format for Authority Data: Table of Contents (Network Development and MARC Standards Office, Library of Congress). https://www.loc.gov/marc/authority/.
- Manghi, P. and Mikulicic, M. (2011). PACE: A General-Purpose Tool for Authority Control. In E. García- Barriocanal, Z. Cebeci, M. C. Okur, & A. Öztürk (Eds.), Metadata and Semantic Research, p. 80-92. Springer. https://doi.org/10.1007/978-3-642-24731-6_8.
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- Tillett, B. and Taylor, A. G. (2004). Authority control in organizing and accessing information. Routledge. https://doi.org/10.4324/9780203051092.
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- Serendipity in Library Retrieval: Reinforcing Discovery through Visualization of Bibliographic Relationships
Abstract Views :1764 |
PDF Views:6
Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 4 (2021), Pagination: 213-227Abstract
This work starts with a background study of serendipity, its meaning in the context of information discovery, its interrelation with bibliographic relationships, and the technical possibilities for practical implementation of a relationships based visual navigation in a library discovery interface to achieve serendipitous resource discovery. The methodology for developing the prototype consists of two components – theoretical base and practical steps. The theoretical framework includes an indepth study of the concept of bibliographic relationships as proposed by experts, as reflected in bibliographic data models and as included in bibliographic formats and metadata schemas. The practical sides deal with the application of the theoretical framework in designing a prototype that, in addition to other typical retrieval features, supports visual navigational facility driven by bibliographic relationships. The components, tools and standards of the entire software architecture are all open source and open standards.Keywords
Bibliographic Relationships, Creative Browsing, Information Visualization, Information Search, Relationship-based Navigation, Serendipity.References
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- Library Carpentry: Towards a New Professional Dimension (Part III – Data Reconciliation, Named Entity Recognition and Advanced Utilities)
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Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani – 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 58, No 5 (2021), Pagination: 287-303Abstract
Data reconciliation and Named Entity Recognition (NER) are closely related concepts to the domain of data carpentry in general and library carpentry in particular. In this context, the part III of the three-part series on library carpentry (part I & II have been published in April & June issues of this journal) is an attempt to apply library carpentry methods in the core areas of information organization in a library of any type or size along with additional utilities like cross-linking of data sources, automatic translation, sentiment analysis and so on. A total of five case studies are included in this research study covering these areas with a focus on do-by-yourself mode.Keywords
Automatic Translation, Data Carpentry, Data Reconciliation, Data Sources Cross-Linking, Library Carpentry, Named Entity Recognition, Sentiment Analysis.References
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- Indigenous Cultural-Heritage Resource Management System : Designing an Open-Source Based Technical Framework
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Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani − 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani − 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 2 (2022), Pagination: 65-77Abstract
This paper reports the development of a digital indigenous or aboriginal cultural heritage archive prototype to understand more specifically how to manage cultural heritage resources for local needs, for traditional and indigenous communities, and in libraries, archives, and museums as they seek to manage, preserve, strengthen, develop, and reuse these resources. The tribes who are the earliest inhabitants of India are economically and socially the least advanced, as they live in isolated and self-contained groups, and are distinct culturally and ethnically from mainstream societies. Historically, colonization, ignorance of mainstream societies, etc., have dominated thousands of indigenous cultures that have ceased to exist or have been marginalized to the brink of extinction. This exploratory study is an attempt to find the tools and techniques that can assist in building an information system for indigenous culture. It considers the need for integration of such a system with a library retrieval system, and the prototype includes the indigenous cultural resources of the Rabha tribe of North-East India to illustrate the idea and suggest a prototype based on open source software and open standards.Keywords
Cultural Heritage, Digital Archive, Indigenous Cultural, Mukurtu, Resource Management, Rabha Tribe, Tribal Culture.References
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- Measuring Open Access Friendliness of Indian Central Universities through Data Carpentry
Abstract Views :200 |
PDF Views:9
Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani, Nadia − 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani, Nadia − 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 3 (2022), Pagination: 131-139Abstract
The present study measures the open access friendliness of Indian central universities against some open access indicators based on 100 points scale. It applies a data carpentry tool namely Open Refine to measure the open access friendliness of Indian universities. This ranking framework consists of two primary areas viz. OA publications share and OA license share, including five factors (OA share, Gold and Green OA share, Repository share, OA license share and Gold & Green license share). The present study has analysed a total of 85916 publications of ten central universities that are listed in the National Institutional Ranking Framework (NIRF), 2021 covering 28.43% of publications under four OA routes (Gold OA, Green OA, Hybrid OA and Bronze OA). The study has proposed an OAFI ranking framework for measuring the web presence of said universities. It is found that Visva Bharati University ranks 1st scoring 64.04 (out of 100) points and Tezpur University has scored the lowest points i. e., 48.75 (out of 100).Keywords
Central University, Data Carpentry, National Institutional Ranking Framework, Open Access, Open Access Friendliness, Open Access Friendliness Indicators, Open Refine.References
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- Mukhopadhyay, P. (2022). How green is my Valley? Measuring Open Access Friendliness of Indian Institutes of Technology (IITs) through Data Carpentry. In: A. Biswas & M. Das Biswas (Eds.), Panorama of Open Access: Progress, Practices & Prospects, 1st ed., Ess Ess, New Delhi, India; p. 67-89. https://zenodo.org/record/6511080#.YrcjOSdBzIU.
- Digital Access Brokers: Clustering and Comparison (Part I – Locator Services)
Abstract Views :176 |
PDF Views:5
Authors
Affiliations
1 Associate Professor, Department of Library and Information Science, University of Calcutta, Kolkata – 700073, IN
2 Professor, Department of Library and Information Science, University of Kalyani, Kolkata – 741245 West Bengal, IN
1 Associate Professor, Department of Library and Information Science, University of Calcutta, Kolkata – 700073, IN
2 Professor, Department of Library and Information Science, University of Kalyani, Kolkata – 741245 West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 5 (2022), Pagination: 273-284Abstract
Scholarly resources published on different platforms are not often searchable and accessible to potential scholars. Google, like other search engines, does not always retrieve free articles on a consistent basis. As a result, there is a gap between the availability and discoverability of scholarly resources. Digital Access Brokers are ground-breaking developments in this context that assemble, discover, and link to open access copies of paid articles or paywalled papers legally uploaded by authors or author-posted manuscripts, with permission from publishers. Browser extensions have emerged as an alternative retrieval assistant to help scholars locate and provide free full-text access to such content available on different publisher sites, databases, open-access journals, or institutional repositories. Unlike other search engines, these extensions provide additional value-added services (such as recommending related resources, citation information, status, type of open access license, level of access and availability of copies by indicating different colours, integration with citation management tools, article metrics) along with the paper to reduce the information overload of the readers. The objective of this paper is to provide an idea about different browser extensions such as Kopernio, Open Access Button,unpaywall and along with their features that might help them in selecting the best toolfor their research work.Keywords
Browser Extension, Digital Access Broker, Open Access, Open Access Button, Scholarly Communication, UnpaywallReferences
- Azadbakht, E. and Schultz, T. (2020). At the click of a but-ton: assessing the user experience of open access finding tools. Information Technology and Libraries, 39(2), 1-13. https://doi.org/10.6017/ital.v39i2.12041.
- Cook, E. and McArthur, J. (2017). What is open access button? An interview with Joe McArthur. The Serials Librarian, 73(3-4), 208-210. https://doi.org/10.1080/036 1526X.2017.1391152.
- De Sarkar, T. (2015). The prevalence of web browser extensions use in library services: An exploratory study. Electronic Library, 33(3), 334-354. https://doi. org/10.1108/EL-04-2013-0063.
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- Ferguson, C. L. (2019). Leaning into Browser Extensions. Serials Review, 45(1-2), 48-53. https://doi.org/10.1080/0 0987913.2019.1624909.
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- Rodriguez, M. (2019a). Open access button. Technical Services Quarterly, 36(1), 101-102. https://doi.org/10.1080/07317131.2018.1532043.
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- Digital Access Brokers: Clustering and Comparison (Part II – from Summarization to Citation Map)
Abstract Views :207 |
PDF Views:4
Authors
Affiliations
1 Associate Professor, Department of Library Information Science, University of Calcutta, West Bengal, IN
2 Professor, Department of Library Information Science, University of Kalyani, West Bengal, IN
1 Associate Professor, Department of Library Information Science, University of Calcutta, West Bengal, IN
2 Professor, Department of Library Information Science, University of Kalyani, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 6 (2022), Pagination: 337-351Abstract
In our previous article (Digital Access Brokers: clustering and comparison (Part I - locator services), we covered a total of twelve browser extensions under one broad group viz. Group A- Locations, Citations & References. This paper covers another twenty-two more browser extensions under four major groups viz. Group B- Summarizers, Recommenders & Commenters; Group C- Multi Functional; Group D - Resource Integration; and Group E- Citation Map Builder. All of these tools assist researchers in a variety of ways in obtaining content, both open-access and licenced content owned by various publishers or databases.Keywords
Browser Extension, Digital Access Broker, Google Scholar Button, Kopernio, Lazy Scholar, Lean Library.References
- Ferguson, C. L. (2019). Leaning into browser extensions. Serials Review, 45(1-2), 48-53. https://doi.org/10.1080/0 0987913.2019.1624909.
- Hoy, M. B. (2019). New tools for finding full-text articles faster: Kopernio, Nomad, Unpaywall, and More. Medical Reference Services Quarterly, 38(3), 287-292. https://doi. org/10.1080/02763869.2019.1629215. PMid:31379291.
- Hupe, M. (2020). Lean library. Journal of Medical Library Association, 108(3), 518-519. https://doi.org/10.5195/ jmla.2020.976. PMid:32843883 PMCid:PMC7441912
- Piwowar, H., et al. (2018). The state of OA: A large-scale analysis of the prevalence and impact of Open Access articles. Peer J, 6. https://doi.org/10.7717/peerj.4375. PMid:29456894 PMCid:PMC5815332.
- Wang, X., et al. (2015). The open access advantage considering citation, article usage and social media attention. Scientometrics, 103(2), 555-564. http:// dx.doi.org/10.1007/s11192-015-1547-0.https://doi. org/10.1007/s11192-015-1547-0.
- Fetching Automatic Authority Data in ILS from Wikidata via OpenRefine
Abstract Views :180 |
PDF Views:2
Authors
Affiliations
1 DLIS, University of Kalyani, Kalyani, Nadia − 741235, West Bengal., IN
1 DLIS, University of Kalyani, Kalyani, Nadia − 741235, West Bengal., IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 59, No 6 (2022), Pagination: 353-362Abstract
Authority data is vital for effective library and information services. It serves a major purpose in realizing the collocation function of library catalogues and indexes. Unfortunately, however, authority control has been neglected in library catalogues and other bibliographic databases in India. This paper seeks to demonstrate how authority data can be fetched automatically from Wikidata, a sibling project of Wikipedia. For this purpose, the query language SPARQL is required to formulate the names of persons of Indian origin along with their date of birth and place in Wikidata. The collected datasets are processed and implemented as MARC21-based authority data in KOHA, an open-source library management software. The ways in which the library and information science community can use these free, open-source platforms to gather, organize and share data and how they enhance the retrieval efficiency are shown.Keywords
Authority Data, Data Wrangling, Koha, OpenRefine, SPARQL, Wikidata.References
- Allison-Cassin, S. and Scott, D. (2018). Wikidata: A platform for your library’s linked open data. The Code4Lib Journal, 40. Available at: https://journal.code4lib.org/ articles/13424
- Bielefeldt, A., Gonsior, J., and Krötzsch, M. (2018). Practical linked data access via SPARQL: The Case of Wikidata, 10.
- Cyganiak, R. (n.d.). A relational algebra for SPARQL, 20.
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- Veen, T. van. (2019). Wikidata: Information Technology and Libraries, 38(2), 72-81. https://doi.org/10.6017/ital. v38i2.10886
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- Machine Learning and Bibliographic Data Universe: Assessing Efficacy of Backend Algorithms in Annif through Retrieval Metrics
Abstract Views :162 |
PDF Views:6
Authors
Affiliations
1 Department of Library and Information Science, University of Kalyani, Kalyani − 741235, West Bengal, IN
1 Department of Library and Information Science, University of Kalyani, Kalyani − 741235, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 60, No 1 (2023), Pagination: 39-48Abstract
This research study utilizes an open source AI/ML framework named Annif, developed by the National Library of Finland, to explore the feasibility of automated subject indexing. The framework loads the linked open data format of LCSH and trains the model with a comprehensive training dataset comprising MARC records downloaded from different libraries all over the world. It then compares a set of selected machine learning backends of Annif, namely TF-IDF, Omikuji, and Neural Network, against a set of retrieval metrics to measure the suitability of these backends for the bibliographic data universe. The study concludes that the fusion backend in Annif named Neural Network has the potential to provide support for an automated subject indexing system.Keywords
Annif, Automated Indexing, Machine Learning, NDCG, Neural Network Model, Retrieval Metrics.References
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