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Mukhopadhyay, Parthasarathi
- Developing SKOS--Compliant Multilingual Thesaurus:An ISO 25964 Based Approach
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Authors
Affiliations
1 Dept. of Education, University of Burdwan, IN
2 D.LIS., Kalyani University, IN
1 Dept. of Education, University of Burdwan, IN
2 D.LIS., Kalyani University, IN
Source
Information Studies, Vol 21, No 4 (2015), Pagination: 221-243Abstract
Standards are being used for construction of thesauri from their inceptions. Previously thesauri were designed and maintained manually. But the advancement of ICT gives us the opportunity to execute the same through machine-readable environment. To incorporate thesaurus database electronically, the thesaurus standards also changed accordingly over the time. Concept of data model has emerged for efficient utili2ation of knowledge organization systems like classification schemes, subject taxonomies and thesauri. New standards are enable to guide in designing and maintaining thesaurus in digital environment and also make them interoperable among various platforms by using SKOS as domain model and XML as lingua fianca. The SKOS-compatible thesaurus standard also supports multilinguality in Unicode based data processing environment. ISO-25964 standards are designed in two parts for constructing and maintaining a SKOS complaint multilingual thesaurusKeywords
Thesaurus, Data Model, Thesaurus Standards, SKOS, ISO 25964, Tematres.
References
- Aitchison, J.; Gilchrist, A. and Bawden, D. (c2000). Thesaurus construction and use: a practical manual (4th ed.). London: Aslib, p2-3.
- Dextre Clarke, S. and Lei Zeng, M. (2012). From ISO 2788 to ISO 25964:the evolution of thesaurus standards for interoperability and data modeling. Information standards quarterly, 24(1): 20-26.
- Dextre Clarke, S. (2012). ISO 25964: the new standard for thesauri and interoperability with other vocabularies. Retrieved from eurovoc.europa.eu/.
- Hudon, M (1997). Multilingual thesaurus construction - integrating the views of different cultures in one gateway to knowledge and concepts. Retrieved from littp://content.iospress.coin/articles/infomiation-services-and-use/isu17-2-3-05
- IS025964-1:2011, Theasauri and interoperability with other vocabulary .Parti: Thesauri for information retrieval.Genevailntemational Organization for Standard,August 8, 2011.
- IS025964-1:2011, Theasauri and interoperability with other vocabulary .Parti: Thesauri for information retrieval.Geneva:Intemational Organization for Standard, MarhlS, 2013.
- Neelameghan, A. and Raghavan, K.S. (2005). An Online Multi-Lingual, Multi-Faith Thesaurus: A Progress Report on F-THES. Webology, 2(4): Article 19. Available at: http://wvw. webology.org/2005/v2n4/al9.html
- SKOS simple knowledge organization system reference. (2009). Retrieved from http://www.w3.orgnTl/2009/REC-skos-reference-20090818/
- Svenonius, E. (1988). Design of controlled vocabularies in the context of emerging technologies. Library Science with a slant to Documentation and Information Studies, 25(4): 215-227.
- Tematres (2015). Retrieved from http://www.vocabulaiyserver.coni/
- Tematres: gestion de vocabularios controlados (2007). Retrieved from ttp://r020.comar/tematres/wiki/doku.php?id= :en:Inicio
- Zthes specifications for thesaurus representation, access and navigation (2006). Retrieved from http://zthes.z3950 org/
- Application of Controlled Vocabulary in Organizing Community Information Resources (CIRS):A Comparison Between Generic and Domain Specific Subject Access Systems
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Authors
Affiliations
1 Dept. of Education, University of Burdwan, IN
2 D.LIS., University of Burdwan, IN
1 Dept. of Education, University of Burdwan, IN
2 D.LIS., University of Burdwan, IN
Source
Information Studies, Vol 18, No 4 (2012), Pagination: 221-236Abstract
Community information means the information related to the daily livelihood of a group of people. Community information service is the tool to provide community information. To search relevant information in networked era proper search terms (along with network of terms) are necessary. Suitable controlled vocabularies are necessary for the purpose of efficient retrieval of community information resources. Controlled vocabularies play a two-fold role, one in indexing the concepts and another in searching the information at the time of retrieval.Keywords
Community, Community Information. Community Information Resource. Digital Community Information System. Community Information Service, Community of Interest, Free-Text Search, Vocabulary Control Tool, Course Contents.References
- Community of interest - Wikipedia, the free encyclopedia. (2012). Retrieved April 26, 2012, from http://en.wikipedia.org/wiki/ Communityofinterest
- Durrance, J. C; Schneider, K. G. (1996). Public library communityinformation activities: Precursors of community networking partnerships, Ann Arbor: School of Information, University of Michigan. Retrieved March 5, 2010, from http://www.si.umich.edu/Community/taospaper.html.
- Library Association Working Party on Conmiunity Information (1980). Community information: What libraries can do. London: Library Association
- Donohue, J. C. (1976). Community information services-a proposed definition. In Proceedings of 39th ASIS Annual Meeting, Community Information politics edited by Martin Stock. Washington: American Society for Information Science
- Venkatappaiah, V. (1999). Community information services. DESIDOC Bulletine of linformation Technology. 19(1); p.3-4.
- Durrance and Schneider, loc. cit.
- Bunch, A. (1982). Community information services: The origin, scope and development London: Clive Bingley
- Durrance and Schneider, loc. cit.
- Mukhopadhyay, P. S.(2004). Community information services through web and CDROM: an open source framework for public libraries in India. Proceedings of the XXI lASLIC national conference (p.I71-186). Kolkata: lASLIC
- Mukhopadhyay, P.S. (2006). Public library based web-enabled community information system for rural development in India: designing a FLOSS based multilingual prototype. Proceedings of XXII lASLIC National Seminar on Open Source Movement-Asian Perspective (p. 251-258), Kolkata : lASLIC.
- Aitchison, J.; Gilchrist, A. and Bawden, D. (c2000). Thesaurus construction and use: a practical manual (4th ed.). London: Aslib, p.2-3.
- Ibid, p.6
- .Ibid., p.2
- Ibid.,p.68
- A Definition of Community Service. (n.d.). Retrieved April 26, 2012, from http://web.missouri.edu/~wrkstudy/comserv2.html
- Ibid.
- Web-Based Ranking and Link Analysis of Central Universities in India:A Webometric Analysis
Abstract Views :79 |
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Authors
Affiliations
1 Birla Institute of Technology Mesra, Ranchi, Jharkhand, IN
2 Department of Library and Information Science, The University of Burdwan, Burdwan, W.B, IN
3 Department of Library and Information Science, The University of Burdwan, Burdwan, W.B., IN
1 Birla Institute of Technology Mesra, Ranchi, Jharkhand, IN
2 Department of Library and Information Science, The University of Burdwan, Burdwan, W.B, IN
3 Department of Library and Information Science, The University of Burdwan, Burdwan, W.B., IN
Source
Information Studies, Vol 16, No 1 (2010), Pagination: 3-26Abstract
Describes briefly the Indian higher educational system mentioning various types of universities having their websites. Web presence of Indian universities has been discussed in general and central universities in particular. Webometric data have been collected mainly through Yahoo! search engines using special query syntax. An attempt has been made to rank central universities in India using appropriate webometric indicators. Results revealed that based on WISER ranking University of Delhi gets top rank; Sikkim University occupied the last rank among central universities in India. The study also examined the link relationship through inlinks and outlinks among central universities using personal web crawler i.e. SocSciBot 3.0. The reason for hyper-linking is traced among the universities under study. . Finally, co-link matrix was formed to detect the link pattern among the central universities in India.Keywords
Webometric Analysis, University Ranking, Central University, Link Analysis, ADM and WIF.References
- Almind, T.C. and Ingwersen, P. (1997). Informetric analyses on the World Wide Web: Methodological approaches to Webometrics, Journal of Documentation, 53(4), 404-26.
- Bar-Ilan, J. (2004). What do we know about links and linking? A framework for studying links in academic environment. Information Processing and Management, 41(4), 973-986
- Chu, H. (2005). Taxonomy of inlinked web entities: what does it imply for webometric research? Library and Information Science Research, 27(1), 8-27.
- Hemeriks (2(K)5). Knowledge production and communication in the information society: Mapping communications in heterogeneous research networks. Amsterdam: University of Amsterdam.
- Heimeriks, Horlesberger, and Van Den Besselaar (2003). Analyzing hyperlink networks: The meaning of hyperlink based indicators of knowledge production. Cybermetrics, 10(1), 1.
- Ingwersen, P. (1998). The calculation of Web Impact Factors. Journal of Documentation, 54(2), 236-43.
- Harrison, C. (2002). Hypertext links: Whither Thou Guest and Why. First Monday, 7(10). Available: http://firstmonday.org/issues/issue7_10/harrison/index.html. Accessed 10 September 2009
- Henzinger, M.R. (2001). Hyperlink analysis for the Web. IEEE Internet computing, JanFeb 2001,45-50
- Jalal, S.K., Biswas S.C. and Mukhopadhyay, P.S (2009a). Webometric indicators for ranking of accredited Indian universities: An evaluatory study. XXVII All India Conference of lASLIC on Library/ Information Users in Digital Era organized By KIIT University, •', Bhubaneswar dated 26-29 Dec 2009
- Jalal, S.K., Biswas S.C. and Mukhopadhyay, P.S (2009b). Web presence of selected Asian countries: A Webometric study. Fifth International conference on WIS and 10th COLLNET meeting, 13-16 Sept. 2009.
- Kim, H.J. (2000). Motivations for hyper-linking in scholarly electronic articles: a qualitative study. JASIS, 51(10), 887-99.
- Kousha, K and Horri, A. (2004). The relationship between scholarly publishing and the •.-•:: . counts of academic inlinks to Iranian university web sites: Exploring academic link creation motiaiions. Journal of Information Management and Scientometrics, 1(2), 13-22.
- Leydesdorff, L. & Vaughan, L. (2006). Co-occurrence matrices and their applications in information sciences: Extending ACA to the Web environment. Journal of the American Society for Information Scicence and Technology, 57(12), 1616-1628. http://users.fmg.uva.nl/lleydesdorff/aca/index.htm
- Li, X., Thelwall. M., Musgrove P.and Wilkinson D. (2003). The reladonship between the links/Web Impact Factors of computer science departments in UK and their RAE (Research Assessment Exercise) ranking in 2001. Scientometrics, 57(2), 239-255
- Mukhopadhyay, P.S. (2004). Measuring Web Impact Factors: a webometric study based on the analysis of hyperlinks. In. National Seminar On Information Support For Rural Development, India. lASLIC, Dec 2004.
- Park, H.W. (2002). Examining the determinants of who is hyperlinked to whom: a survey of webmasters in Korea. First Monday, 7(11). Accessible at: http://firstmonday.org/issues/issue7_l 1/park/. Accessed 10 September 2009
- Polanco, X., Boudourides, M.,Besagni, D., and Roche, L(2001). Clustering and mapping European university websites sample for displaying associations and visualizing networks.
- Ranking Web of World universities, http://www.webometrics.info/methodology.html Accessed 10 September 2009
- Smith, A. (1999). A tale of two Web spaces: comparing sites using Web impact factors. Journal of Documentation, 55(5), 577-5922
- Tang, R and Thelwall, M. (2003). Disciplinary differences in US academic departmental web site interlinking. Library and Information Science Research, 25(4), 437-458.
- Thelwall, M. (2001). Conceptualizing documentation on the web: an evaluation of different heuristic-based models for counting links between university websites. JASIST, 53(12), 995-1005
- Thelwall, M. (2002). A comparison of sources of links for academic Web Impact Factor calculations. Journal of Documentation, 58(1), 60-72
- Thelwall, M. (2003). What is this link doing here beginning a fine-grained process of identifying reasons for academic hyperlink creation? Information Research, 8(3).
- Thelwall, M., Tang, R. and Price, E. (2003). Linguistic patterns of academic web use in Western Europe. Scientometrics, 56(3), 417-432.
- Thomas, O. and Willett, P. (2000). Webometric analysis of departments of librarianship and information science. Journal of Information Science. 26(6), 421-28
- University Grants Commissions of India, http://www.ugc.ac.in. (Accessed 10 September 2009)
- Vaughan, L and Thelwall. M. (2003). Scholarly use of the web: What are the key inducers of links to journal web sites? yA5/5r, 54(1), 29-38.
- Vaughan, L. (2007). Why are websites co-linked? The Case of Canadian universities. Scientometrics, 72(1), 81-92.
- Wilkinson, D., Thelwall, M. and Li, X. (2003). Exploiting hyperiinks to study academic Web use. Social Science Computer Review, 21(3); 340-351.
- WISER (2005). Web Indicators for Scientific Technological and Innovation Research: A Survey of Practice, December 2005.
- Bibliometrics to Webometrics
Abstract Views :109 |
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Authors
Affiliations
1 Central Library, Birla Instimte of Technology, Mesra, Ranchi 835215 Jharkhand., IN
2 Department of Library and Information Science, University of Burdwan, Burdwan,W.B., IN
3 Department of Library and Information Science, University of Burdwan, Burdwan, W.B., IN
1 Central Library, Birla Instimte of Technology, Mesra, Ranchi 835215 Jharkhand., IN
2 Department of Library and Information Science, University of Burdwan, Burdwan,W.B., IN
3 Department of Library and Information Science, University of Burdwan, Burdwan, W.B., IN
Source
Information Studies, Vol 15, No 1 (2009), Pagination: 3-20Abstract
Bibliometrics deals with the quantitative aspects of print documents. Webometrics deals with the application of informetric and other quantitative techniques for the analysis of Web documents. This article briefly describes the trend from bibliometrics to webometrics. Also discusses some important application areas of Webometrics research, the methodology adopted for data collection, techniques and tools of Web analysis and the problems encountered in Webometric research. Methods of computing Web Impact Factors and highlights the research possibility in Webometric study are considered. A webometric case study of 13 Indian Institutes of Technology (IITs) and Indian Institutes of Management (IIMs) is presented. The analysis shows that the IIT, Bombay occupies the first place among the 13 IITs and the IIMs based on both absolute and logarithm values.Keywords
Bibliometrics, Informetrics, Scientometrics, Webometrics, Cybermetrics, Historical Development, Impact Factors, Indian Institutes of Technology, Indian Institutes of Management, Case Study.References
- Abraham, R.H (1996). Webometry: measuring the complexity of the World Wide Web. Visual Math Institute. University of California at Santa Cruz. Available at: http://www.ralphabraham.org/vita/redwood/vienna.html
- Aguillo, I.F. (2002). Cybermetrics: definitions and methods for an emerging discipline. Available at http://www.upmf-grenoble.fr/adest/seminaires/ISIDRO/cybermetrics.ppt
- Albert, Jeong and Barabasi, A.L. (1999). Diameter of the Worid Wide Web. Nature. 401(9), 130-131.
- Almind, T.C. and Ingwersen, P. (1996). Informetric Analysis on the World Wide Web: Methodological Approaches to Webometrics. Centre for Informetric studies, Royal School of Library and Information Science (CIS Report 2).
- Almind, T.C. and Ingwersen, P. (1997). Informetric Analysis on the World Wide Web: Methodological approaches to webometrics. Journal of Documentation, 53(4), 404-426.
- Bar-Ilan, J. (1997). The "mad cow disease', UseNet, newsgroup and bibliometric laws. Scientrometrics. 39(1), 29-55.
- Bar-Ilan, J. (2001). Data collection methods on the Web for informetric purpose: a review and analysis. Scientrometrics. 50(1), 7-32.
- Bergman, M.K. (2000). White paper- the deep web:surfing hidden value (online) Retrieved on Aug 20,2000 from: http://128.121.227.57/download/deepwebwhitepaper.pdf
- Bjorneborn, L (2004). Small world link stnictures across an academic web space: a library and information science approach. PhD thesis from Department of Information Studies, Royal School of Library and Information Science, Denmark.
- Bjorneborn, L and Ingwergwn, P (2004). Towards a basic framework for Webometrics. Journal of American Society for Information and Technology. 55(14), 1216-27.
- Bossy, .J. (1995). The last of the litter: Netometrics. Retrieved on 10 November 2007 from: http://biblio-fr.info.unicaen.fr/bnum/jelec/solaris/d02/2bossy.html.
- Bradford, S.E. (1934). Sources of information on specific subjects. Engineering, 137(3550); 85-86
- Bray, T. (1996). Measuring the Web. Fifth International World Wide Web Conference. Paris, France. May 6-10, 1996.
- Brookes, B. C. (1990). Biblio-, Sciento-, Infor-metrics??? What are we talking about? IN: Egghe, Leo and Rousseau, R., eds. (1990) Informetrics. 89/90, 31-42, Amsterdam: Elsevier.
- Chakraborty, S., Joshi, M., Punera, K. and Pennock, D.M. (2002). The structure of broad topics on the web. Proceedings of the WWW2002 Conference. Retrieved on 10 November 2007 from http://www2002.org/CDROM/referredy338.
- Cole, F.J. and Eales, N.B. (1917). History of comparative anatomy: a statistical analysis of literature. Science Progress. 11, 578-596
- Garfield, E. (1955). Citation indexes for science: a new dimension in documentation through association of ideas. Science. 122 (3159); 108-111.
- Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178; 471-479.
- Gross and Gross (1927). College libraries and chemical education. Science, 16; 384-389.
- Hernandez-Borges, Pareras and Jimenez. (1997). Comparative analysis of paediatric mailing list on the Internet. Paediatrics, 100(2), Retrieved on Nov 10, 2007 from http://www.pediatrics.Org/cig/content/full/100/2/e8.
- Herring, S.C. (2002). Use of electronic resources in scholarly electronic journals: a citation analysis. College and Research Libraries, 63(4), 334-340.
- Hulme, E.W. (1923). Statistical bibliography in relation to the growth of modem civilization. London: Grafton
- Ingwersen, Peter. (1998). The calculation of web impact factor. Journal of Documentation. 4, 236-243.
- Matzat, U. (1998). Informal academic communication and scientific usage of Internet discussion group. Proceedings IRIS'98 International Conference, Retrieved dated NovlO, 2007 from: http://sosig.ac.uk/iriss/papers/paperI9.htm
- Mukhopadhyay, P. (2004). Measuring Web Impact Factors: a webometric study based on the analysis of hyperlinks. In. National Seminar on Information Support for Rural Development, India. lASLIC, Dec 2004.
- Ortega, J.L., Aguillo, 1. and Prieto, J.A. (2006). Longitudinal study of contents and elements in the scientific web environment. Journal of Information Science, 32(4), 344-351
- Pritchard, A. (1969). Statistical bibliography or Bibliometrics? Journal of Documentation. 25(4), 348-349.
- Rodriguez Gairin, J.M. (1997). Impact assessment of information on the Internet: AltaVista, the citation index of the Web. Available at: www.kronosdoc.com/ publicacions/altavis.htm,
- Rousseau, R. (1997). Citation: an exploratory study. Cybermetrics, 1(1), paper-1. Retrieved on 8 November 2000 from: http://cindoc.csis.es/cybermetrics/articles/vlilpl.html.
- Rousseau, R. (1999). Daily time series of common single word searches in AltaVista or Northemlight. Cybermetrics, 2/3(1), paper-2. Retrieved on August 15, 2000 from: http://cindoc.csis.es/cybermetrics/articles/v2ilp2.html.
- Smith, A.G. (1998), "A tale of two Web spaces: comparing sites using Web impact factors". Journal of Documentation, 55(5); 577-92.
- Snyder, H., and Rosenbaum, H. (1999). Can search engines be used as tools for web-link analysis? A critical view. Journal of Documentation. 55,4,375-384
- Tague-Sutcliffe, J. (1992). An introduction to informetrics. Information Processing and Management, 28 (1); 1-3.
- Thelwall, M., Vaughan, L. and Bjomebom, L. (2003). Webometrics. ARIST. 39, 81-135
- Thelwall, M. (2000). Web impact factors and search engine coverage. Journal of Documentation. 56(2), 185-189.
- Thelwall, M. (2001). Results from a web impact factor crawler. Journal of Documentation, 57(2), 177-191.
- Thelwall, M. (2002). A comparison of sources of links for academic web impact factor calculation. Journal of Documentation, 58(1), 66-78.
- Thelwall, M., and Wilkinson, D. (2004). Finding similar academic websites with links, Bibliometrics couplings and co-links. Information Processing and Management. 40(3), 515-526
- Thomas, O. and Willett, P. (2000). Webometric analysis of departments of librarianship and information science. Journal of Information Science. 26(6), 421-28.
- Vaughan, L., Kipp, M.E., and Gao, Y. (2007). "Why are websites co-linked? The Case of Canadian universities. Scientometrics, 72(1); 81-92