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Panigrahi, Pijushkanti
- Job Satisfaction among Non-Government College Librarians in West Bengal:A Study
Abstract Views :265 |
PDF Views:11
Authors
Affiliations
1 Department of Library and Information Science, University of Calcutta, Kolkata 700 073, IN
2 Narajole College, Narajole, Paschim Medinipur, Midnapore Dt. 721211, W.B, IN
1 Department of Library and Information Science, University of Calcutta, Kolkata 700 073, IN
2 Narajole College, Narajole, Paschim Medinipur, Midnapore Dt. 721211, W.B, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 47, No 5 (2010), Pagination: 569-584Abstract
This study identifies both satisfying and dissatisfying factors of Non-Government College Librarians in West Bengal. A self-designed Questionnaire containing work environment factors, basic need factors, physical nature of work is administered on the target group of 200 non-govt. college librarians out of a total of 275. Interview procedure is also used to collect data from the respondents, Statistical techniques like, frequency; percentage, mean and chi-square test have been applied to know the extent of satisfaction of the subject. Respondents express their dissatisfaction on some of the relevant issues. It suggests that the college authorities be sympathetic to remove the factors of dissatisfaction for better library services towards its users community.Keywords
College Librarians, Job Satisfaction, Satisfaction Factors, Dissatisfaction Factors.References
- Brafield (A H); Crocket (W H). Employee attitudes and employee performance. Psychology Bulletin. Vol. 52; 1955; p396-424.
- Greene (C N). Casual connection among manager‟s merit, pay, job satisfaction and performance. Journal of Applied Psychology. Vol. 58; 1974; p95-100.
- Herzberg (F) and others. Job attitudes: review of research and opinion. 1957. Psychological services of Pittsburgh; Pennsylvania.
- Jana (Lakshmikanta). An Evaluative Study on Motivation and Job Satisfaction among Non-Government College Librarians in West Bengal. 2006. Ph D Thesis. Vidyasagar University. (unpublished)
- Kornhauser (A W); Sharp (A A). Employee attitudes; suggestion from a study in a factory. Personal Journal. Vol. 10; 1972; p393-404.
- Lawler (E E); Porter (L W). Managerial attitudes and performance. 1968. Dorsey Press; Home wood.
- Lehal (Ritu). Organisational climate, job satisfaction and managerial effectiveness. 2000. Deep and Deep Publication; New Delhi.
- Malhotra (Madhu). Job satisfaction of nurses. 2000. Panjab University, Chandigarh. M.Ed. dissertation.
- Morse (N C). Satisfaction in the white collar jobs. 1953. Institute for Social Research Survey Research Centre, University of Michigan; Ann Arbr.
- Pestonjee (D M). Organisational structures and job attitudes. 1973. Minerva Associates, Calcutta.
- Singh (Ajit). Job satisfaction and personality traits of librarians in India: a survey. Panjab University, Chandigarh.
- Smith (H C). Psychology of industrial behaviour. 1955. McGraw-Hill, New York.
- Stogdill (R M). Industrial behaviour and group achievement. 1959. Oxford; New Jersey.
- Tiffin (J) and Mccormick (E J). Industrial psychology. 1962. George Allen and Unwin; London.
- Vroom (V H). Work and motivation. 1964. Wiley; New York.
- Implementation of the Anteriorising Common Isolates in Automatic Classification System
Abstract Views :317 |
PDF Views:10
Authors
Affiliations
1 Department of Library and Information Science, University of Calcutta, Kolkata–700 073, West Bengal, IN
1 Department of Library and Information Science, University of Calcutta, Kolkata–700 073, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 44, No 3 (2007), Pagination: 225-236Abstract
Discusses briefly the need of form divisions in library classification. Mentions the nomenclature of form divisions in different schemes, for instance it is called Anteriorising Common Isolates (ACI) in Colon Classification. Describes the procedure of knowledge representation for ACI and their respective notations, symbols etc. States the technique of selecting their respective category names to follow the facet formula. Also includes the scope of defining the specific facet formula for ACI. Illustrates steps followed in analysing titles (i.e. in the form of natural language sentence) of documents for finding out noun phrases and picking up isolate numbers, symbols, basic subjects from the frame based knowledge base designed for this purpose. Includes the treatment of three types of ACI to prepare a suitable knowledge base in the automated environment. Facet formula for ACI of Colon Classification is also included to handle it successfully following postulates and principles.Keywords
Analytico Synthetic Classification, Colon Classification, Common Isolates, Anteriorising Common Isolates, Prolog, Viswamitra.References
- Ranganathan (S R). (1967). Prolegomena to Library Classification. 3rd ed. (Reprinted in 1989). Bangalore: Sarada Ranganathan Endowment for Library Science.
- (1969). Colon classification edition 7(1971): a preview. Library science with a slant to Documentation. Vol. 6(3); 1969; Paper M.
- Panigrahi (Pijushkanti) (2006). Knowledge Representation Models. Proceedings of the Retraining of University and College Teachers under the U G C Sponsored University with potential for Excellence Scheme on Knowledge Management Organized by the Department of Library and Information Science, Jadavpur University, Kolkata during January 12-13, 2006
- (1996). Design and development of a Knowledge Representation Model for Analytico Synthetic Classification. Ph D Thesis. Vidyasagar University, Medinipur (West Bengal, India). (Unpublished)
- (2003). Logic Programming for Automatic Classification. IASLIC Bulletin. Vol 48(2); June 2003; p83-98.
- (2003). Developing an Intelligent System for Library Works and Services using Declarative Language: a Case Study of Library Classification. CLIS Observer. Vol. 20(3&4); July 2003; p57-71.
- (2000). An Artificial Intelligence approach towards Automatic Classification (Part 1). IASLIC Bulletin. Vol 45(3); September 2000; p73-81.
- (2000). An Artificial Intelligence approach towards Automatic Classification (Part 2). IASLIC Bulletin. Vol 45(3); September 2000; p105-118.
- Prasad (A R D); Panigrahi (Pijushkanti) (1997). An inference engine for time isolates of colon classification schedule. International Study Conference on Classification Research, 6th, London. FID/CR and University College London, June 16-18, 1997. London.
- (2005). A Knowledge Representation Model for Time Isolates of Colon Classifica-tion (7th Edition). SRELS Journal of Information Management, Vol 42(3); September 2005; p221-244.
- Panigrahi (Pijushkanti); Prasad (A R D) (2005). Inference Engine for Space Isolates of Colon Classification for AI Based Automated Classification System. SRELS Journal of Information Management. Vol. 42(4); December 2005; p383-408.
- (2005). Inference Engine for Devices of Colon Classification in AI Based Automated Classification System. Annals of Library and Information Studies. Vol. 52(4); December 2005; p124-134.
- Basu (Asok) (2003). NLP based Automatic Classification System for Analytico Synthetic Scheme. SRELS Journal of Information Management. Vol. 40(4); December 2003; Paper AB. p289-312.
- Ranganathan (S R) (1969). Colon classification edition 7(1971): a preview. Library Science with a slant to Documentation. Vol. 6(3); 1969; Paper M.
- (1989). Colon Classification. 7th ed (Reprint), (ed by M A Gopinath). Bangalore: Sarada Ranganathan Endowment for Library Science. p30
- (1989). Colon Classification. 7th ed (Reprint), (ed by M A Gopinath). Bangalore: Sarada Ranganathan Endowment for Library Science. p33
- (1989). Colon Classification. 7th ed (Reprint), (ed by M A Gopinath). Bangalore: Sarada Ranganathan Endowment for Library Science. p105
- Gopinath (M A). (1988). Colon classification, edition 7: theory and practice. In Seventeenth DRTC Refresher Seminar, Oct 26-28, 1988. Documentation Research and Training Centre and Sarada Ranganathan Endowment for Library Science, Bangalore, Documentation Research and Training Centre: Bangalore..
- Panigrahi (Pijushkanti) (1996). Design and development of a Knowledge Representation Model for Analytico Synthetic Classification. Ph D Thesis. Vidyasagar University, Medinipur (West Bengal, India). (Unpublished)
- Glassel (Aimee) (1998). Was Ranganathan a Yahoo?. End User’s Corner. (http: //scout . cs. wisc. edu/ toolkit/ enduser/ archive/ 1998/ euc-9803.html, 1998) ( Visited on Augr 17, 2002)
- Facet Analysis Techniques for Automatic Classification Systems:A Study for Colon Classification
Abstract Views :294 |
PDF Views:13
Authors
Affiliations
1 Department of Library and Information Science, University of Calcutta, 87/1 College Street, Kolkata 700 073, West Bengal, IN
1 Department of Library and Information Science, University of Calcutta, 87/1 College Street, Kolkata 700 073, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 44, No 4 (2007), Pagination: 309-332Abstract
The method of identification of facets from the title of documents is discussed in this paper. States the technique of selecting respective category name of facets to follow the facet formula in general. Also includes the scope of defining the specific facet formula for any specific subject. Illustrates steps followed in analyzing titles (i.e. in the form of natural language sentence) of documents for finding out noun phrases and picking up isolate numbers, symbols, basic subjects from the frame based knowledge base designed for this purpose. Emphasizes on integration of expert system and natural language processing components to proceed towards a successful automatic classification system.Keywords
Analytico Synthetic Classification, Colon Classification, Automatic Classification, Artificial Intelligence, Natural Language Processing, Facet Analysis.References
- Panigrahi (Pijishkanti). Design and Development of a Knowledge Representation Model for Analytico Synthetic Classification. Ph D Thesis. Vidyasagar University, 1996, Medinipur (West Bengal, India). (Unpublished)
- Ranganathan (S R). Prolegomena to Library Classification. 3rd ed. (Reprinted in 1989). Bangalore, 1967, Sarada Ranganathan Endowment for Library Science.
- Colon Classification. 7th ed (Reprint), (ed by M A Gopinath). Bangalore, 1989, Sarada Ranganathan Endowment for Library Science, p14-17
- Panigrahi (Pijushkanti). Knowledge Representation Models. Proceedings of the Retraining of University and College Teachers under the U G C Sponsored University with potential for Excellence Scheme on Knowledge Management Organized by the Department of Library and Information Science, Jadavpur University, Kolkata during January 12-13, 2006.
- Logic Programming for Automatic Classification. IASLIC Bulletin. Vol. 48(2); June 2003; p83-98.
- Developing an Intelligent System for Library Works and Services using Declarative Language: a Case Study of Library Classification. CLIS Observe. Vol. 20(3&4); July 2003; p57-71.
- An Artificial Intelligence approach towards Automatic Classification (Part 1). IASLIC Bulletin. Vol. 45(2); June 2000; p73-81.
- An Artificial Intelligence approach towards Automatic Classification (Part 2). IASLIC Bulletin. Vol. 45(3); September 2000; p105-118.
- Prasad (A R D); Panigrahi (Pijushkanti). An inference engine for time isolates of colon classification schedule. International Study Conference on Classification Research, 6h, London. FID/CR and University College London, June 16-18, 1997, London.
- A Knowledge Representation Model for Time Isolates of Colon Classification (7th Edition). SRELS Journal of Information Management. Vol. 42(3); September 2005; p221-244.
- Panigrahi (Pijushkanti); Prasad (A R D). Inference Engine for Space Isolates of Colon Classification for AI Based Automated Classification System. SRELS Journal of Information Management. Vol. 42(4); December 2005; p383-408.
- Inference Engine for Devices of Colon Classification in AI Based Automated Classification System. Annals of Library and Information Studies. Vol. 52(4); December 2005; p124-134.
- Basu, Asok. NLP based Automatic Classification System for Analytico Synthetic Scheme. SRELS Journal of Information Management. Vol. 40(4); December 2003; p289-312.
- Ranganathan (S R). Colon classification edition 7(1971): a preview. Library Science with a slant to Documentation. Vol. 6(3); 1969.
- Gopinath (M A). Colon classification, edition 7: theory and practice. In Seventeenth DRTC Refresher Seminar, Oct 26-28, 1988. Documentation Research and Training Centre and Sarada Ranganathan Endowment for Library Science, Bangalore, Documentation Research and Training Centre: Bangalore, 1988.
- A Knowledge Representation Model for Time Isolates of Colon Classification (7th Edition)
Abstract Views :583 |
PDF Views:6
Authors
Affiliations
1 Documentation Research and Training Centre, Indian Statistical Institute, R V College, P O Bangalore, PIN - 560 059, IN
2 Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata, PIN - 700 073, West Bengal, IN
1 Documentation Research and Training Centre, Indian Statistical Institute, R V College, P O Bangalore, PIN - 560 059, IN
2 Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata, PIN - 700 073, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 42, No 3 (2005), Pagination: 221-244Abstract
Elaborately discusses the treatment of the time isolates of Colon Classification (CC), 7th edition in the automatic environment. From the very beginning CC has separately specified isolate numbers for time, which is one of the five fundamental categories. As the time isolates can appear with any one of the Main Classes enlisted in the schedule of basic subjects, the schedule for time isolates is mentioned as a common schedule. This research paper describes the importance of time (i.e. Meteorological time, Civil time, etc.) in classifying the thought content of any document. It also discusses the structure of the schedule of the Common Time Isolates including all divisions and subdivisions. Discusses the rules of expert systems developed using Prolog to handle the procedure of picking up numbers from other schedules and forming the special components to build compound time isolates. Describes the procedure of developing knowledge base in respect of time isolates. Some special techniques of defining lexical knowledge regarding time isolates are also discussed. Working procedure of different program segment of inference engine is illustrated. Includes the scope of forming compound time isolates according to CC7. Illustrates the specific techniques used for different groups to follow the instruction of the schedule.Keywords
Automatic Classification, Analytico-Synthetic Classification, Colon Classification, Artificial Intelligence, Time Isolates.References
- Arity prolog compiler/interpreter, version 6.1. 1992. Arity Corporation, Massachusetts.
- Clocksin (W F); Mellish (C S). Programming in Prolog. 3rd rev ext ed. Narosa Publishing House, New Delhi, 1993.
- Gibbins (Peter). Logic with prolog. Clarendon Press, Oxford, 1980.
- Gopinath (M A). Colon classification, edition 7: theory and practice. DRTC Refresher Seminar, 17th, Documentation Research and Training Centre and Sarada Ranganathan Endowment for Library Science, Bangalore, Oct 26-28, 1988. Documentation Research and Training Centre and Sarada Ranganathan Endowment for Library Science; Bangalore. 1988.
- Kumar (P S G). Introduction to colon classification: edition 7. Datt Sons; Nagpur. 1987, p106-8.
- Meritt (Dennis). Building expert systems in prolog. Springer Verlag; New York, 1989.
- Panigrahi (P K). Design and development of a knowledge representation model for analytico synthetic classification. Ph D Thesis. Vidyasagar University, Medinipur. 1996 (unpublished).
- Panigrahi (P K). An Artificial Intelligence approach towards Automatic Classification (Part 1). IASLIC Bulletin. Vol. 45(2); 2000a; p73-81.
- An Artificial Intelligence approach towards Automatic Classification(Part 2). IASLIC Bulletin. Vol. 45(2); 2000b; p105-118.
- Pereira (F C N); Shieber (S M). Prolog and natural language analysis. CLSI lecture notes 10. 1987. Centre for the Study of Language and Information Lecture/SRI International; Melnopark.
- Prasad (A R D). Application of computer based natural language processing tools and techniques in developing subject indexing languages. Karnataka University. Ph D Thesis. 1993. (unpublished).
- Ranganathan (S R). Colon classification. (Reprinted in 1991). 6th ed. Sarada Ranganathan Endowment for Library Science; Bangalore. 1960.
- Colon classification. 7th ed, ed by M A Gopinath. Sarada Ranganathan Endowment for Library Science; Bangalore. 1987, p72-4
- Saint-dizier(Patrick). An introduction to programming in prolog. Springer Verlag; New York, 1990.
- Singh (Sewa). A practical manual of colon classification edition 7. Jaico Publishing House, Bombay, 1990, p214.
- Inference Engine for Space Isolates of Colon Classification for AI Based Automated Classification System
Abstract Views :242 |
PDF Views:7
Authors
Affiliations
1 Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata 700 073, West Bengal, IN
2 Documentation Research and Training Centre, Indian Statistical Institute, R V College P O, Bangalore 560 059, IN
1 Dept of Library and Information Science, University of Calcutta, 3rd FloorAsutosh Building, 87/1 College Street, Kolkata 700 073, West Bengal, IN
2 Documentation Research and Training Centre, Indian Statistical Institute, R V College P O, Bangalore 560 059, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 42, No 4 (2005), Pagination: 383-406Abstract
Colon Classification designed by Dr S R Ranganathan has gained popularity due to its analytico synthetic nature. From the very beginning it has separately specified isolate numbers for Space or Geographical areas, which is one of the five fundamental categories. As the space isolates can occur in any one of the Main Classes enlisted in the schedule of basic subjects, the schedule for space isolates is mentioned as a common schedule. This research paper describes the importance of space / geographic area in classifying the thought content of any document. It also discusses the structure of the schedule of the Common Space Isolates including the political divisions and subdivisions of continents and subcontinents and the administrative divisions of the country. Indicates the possibilities of using mother country and favoured country. Mentions the procedure of developing the knowledge base for divisions and subdivisions of geographical areas. States the rules of expert systems developed using Prolog to handle the procedure of picking up numbers from other schedules and forming the special components to build compound space isolates. Applies the frame based knowledge representation technique to develop knowledge base for different groups of isolate ideas as derived in CC7 using characteristics like 'by geographical feature', 'by population cluster', 'by zone', 'by area surrounded by ocean', 'by orientation', 'by empire' etc. Illustrates the specific techniques used for different groups to follow the instruction of the schedule.Keywords
Automatic Classification, Analytico Synthetic Classification, Colon Classification, Artificial Intelligence, Natural Language Processing, Viswamitra, Space Isolates.References
- Charniak (E) and Mc Dermott (D). (1985). Introduction to ArtificialIntelligence. Massachusetts: Addison Wesley.
- Clocksin (E J) and Mellish (C S) (1993). Programming in Prolog. 3rd rev ed. New Delhi : Narosa Publishing House.
- Gopinath (M A). (1988). Colon classification, edition 7: theory and practice. In Seventeenth DRTC Refresher Seminar, Oct 26-28, 1988. Documentation Research and Training Centre and Sarada Ranganathan Endowment for Library Science, Bangalore, Documentation Research and Training Centre: Bangalore.
- Malps (Jhon). (1987). Prolog: a relational language and its application. London: Prentice-Hall Inc.
- Marcus (C). (1986)). Prolog programming: application of database systems, expert systems and natural language systems. Massachusetts: Addison Wesley.
- Minsky (M). (1975). A frame for presenting knowledge. In P. H. Winston (Ed.). Psychology of Computer Vision. New York: McGraw Hill.
- Panigrahi (P K). (1996). Design and Development of a Knowledge Representation Model for Analytico Synthetic Classification. Ph D Thesis. Medinipur: Vidyasagar University (India). (Unpublished)
- Panigrahi (P K). Logic programming for automatic classification. Iaslic Bulletin. Vol. 48(2); 2003.
- Ranganathan (S R). (1960). Colon Classification. 6th ed (Reprinted in 1991), (ed by M A Gopinath). Bangalore: Sarada Ranganathan Endowment for Library Science.
- (1967). Prolegomena to Library Classification. 3rd ed. (Reprinted in 1989). Bangalore: Sarada Ranganathan Endowment for Library Science.
- Colon Classification Edition 7 (1971): a preview. Library Science with a Slant to Documentation. Vol. 6(3); 1969; Paper M. 193-242.
- (1989). Colon Classification. 7th ed (Reprint), (ed by M A Gopinath). Bangalore: Sarada Ranganathan Endowment for Library Science.
- Saint-Dizier (Patrick) (1990). An introduction to programming in PROLOG. New York : Springer Verlag,
- Waterman (D A). (1986). A Guide to expert systems. Massachusetts: Addison – Wesley.
- Assessing the Need for a Regional Library Consortium:A Case Study in the Colleges of North Bengal
Abstract Views :294 |
PDF Views:9
Authors
Affiliations
1 Siliguri B. Ed. College, Kadamtala, Siliguri, IN
2 DLIS, University of Calcutta, Kolkata, IN
3 DLIS, Vidyasagar University, Pashchim Midnapore, IN
1 Siliguri B. Ed. College, Kadamtala, Siliguri, IN
2 DLIS, University of Calcutta, Kolkata, IN
3 DLIS, Vidyasagar University, Pashchim Midnapore, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 53, No 4 (2016), Pagination: 329-334Abstract
The study aims to verify if a regional library consortium is developed among the colleges of North Bengal whether it would be helpful for the staff and users of these college libraries or not. This is done on the basis of the opinion of the users and staff of the colleges. The methods adopted were stratified random sampling for the selection of the colleges (50%), convenience method for selection of users (10%), structured questionnaires for interview; data are analyzed using Microsoft excel, hypothesis is tested against the interpreted data with Pearson's χ2 test. The study is limited to general degree colleges and B.Ed. colleges of North Bengal. The study favours the formation of the proposed consortium.Keywords
Academic Library Consortia, College Library Consortia, North Bengal College Library, Resource Sharing.References
- Alberico, R. (2002). Academic library consortia in transaction. New Directions for Higher Education, 120:63-71.
- Best, J.W. and Kahn, J.V. (2006). Research in education (10th ed.). New Jersey, USA; New Delhi: Pearson Education Inc; PHI Lerning Private Ltd.
- Garrett, H.E. (1966). Statistics in psychology and education (6th ed.). New York: David McKay Company Inc.
- Mckee, A.E. (2005). Consortial licensing issues: one consortium’s viewpoint. Journal of Library Administration, 42(3/4):129-141.
- Thabah, J.J. and Sumer, F.R. (2006). A consortium for college libraries in Meghalaya: a proposal. 4th Convention PLANNER-2006, p. 389-393. Ahmedabad: INFLIBNET.
- Vaughan, L. (2009). Statistical methods for the information professional:a practical, painless approach to understanding, using and interpreting statistics (Indian edition ed.). New Jersey, USA; New Delhi, India: Information Today, Inc; Ess Ess Publications.
- Jute-Gate:A Case Study on the Development of a Subject Gateway
Abstract Views :294 |
PDF Views:13
Authors
Affiliations
1 Vidyasagar University, Central Library, Midnapore – 721102, West Bengal, IN
2 University of Calcutta, Department of Library and Information Science, Third Floor, Asutosh Building, 87/1, College Street, Kolkata − 700073, West Bengal, IN
1 Vidyasagar University, Central Library, Midnapore – 721102, West Bengal, IN
2 University of Calcutta, Department of Library and Information Science, Third Floor, Asutosh Building, 87/1, College Street, Kolkata − 700073, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 54, No 6 (2017), Pagination: 306-310Abstract
Documents on Jute have proliferated considerably along with the growth of the Jute Industry. The aim of this study is to develop a comprehensive single-window knowledge dissemination tool on Jute. Survey of subject gateways and Jute websites has been conducted to ascertain the need for the same. Development of a subject gateway on Jute information (i.e. Jute-Gate) is an obvious choice as there is no subject gateway on Jute, although different subject gateways have been developed across the world for disseminating qualitative information to information seekers on other subjects. A prototype Jute-Gate has been designed based on the feedback from a field survey of Jute Mills and other stakeholders using a free open-source Content Management Software (CMS) (i.e. Drupal).Keywords
Jute Gate, Jute Information Gateway, Subject Gateway.References
- Kanetkar J. (2014). Development of subject gateways: A status update, DESIDOC J. of Lib. and Info. Tech.34:367−75. Accessed on 25 December 2016. Available at: http://publications.drdo.gov.in/ojs/index.php/djlit/article/ view/5807/4507.
- Mahemei LK, Thulasi K. and Rajashekar TB. Approaches to taxonomy development: Some experiences in the context of an academic institute information portal. In: International Conference on Information Management in a Knowledge Society, Mumbai: India; 21-25 February 2005. p. 315−26.Accessed on 27 February 2016. Available at: http://eprints.iisc.ernet.in/2853/1/icim-paper1.pdf.
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- Tomlinson, T. (2010). Beginning Drupal 7, 1st Ed. New York: Apress; p. 215−25. Crossref.
- Analysis of Subject Gateways with Special Emphasis on ‘Jute-Gate’
Abstract Views :328 |
PDF Views:19
Authors
Affiliations
1 Vidyasagar University, Central Library, Midnapore –721102, West Bengal, IN
2 University of Calcutta, Department of Library and Information Science, Third Floor, Asutosh Building, 87/1, College Street, Kolkata − 700073, West Bengal, IN
1 Vidyasagar University, Central Library, Midnapore –721102, West Bengal, IN
2 University of Calcutta, Department of Library and Information Science, Third Floor, Asutosh Building, 87/1, College Street, Kolkata − 700073, West Bengal, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 56, No 2 (2019), Pagination: 61-84Abstract
A detailed survey of 166 subject gateways across the world was conducted to check for existence of any subject gateway on Jute fibre. In addition to that, 54 websites on Jute were also examined for assessing the volume and quality of jute-related information. A comparative analysis of 15 jute-related databases, information systems and subject gateways was also conducted for assessing the uniqueness of prototype subject gateway on Jute (i.e. ‘Jute-Gate’) in disseminating qualitative Jute information to stakeholders. It was found that, out of 166 subject gateways that existed between 1996 and 2017, 102 were active and 64 were closed as on 31.03.2017. Average age of the active gateways was 14.52 years though 5 gateways were found to have existed for 21 years and 3 gateways lasted for only 1 year. It was concluded that number of gateways is dependent on the subject category but average age of subject gateways is independent of subject category. It was also found that no dedicated subject gateway for jute fibre is available and the proposed prototype ‘Jute-Gate’ is a pioneering effort.Keywords
Subject Gateway, Survey, Subject Gateway Analysis.References
- Bawden, D. and Robinson, L. (2002). Internet subject gateways revisited. International Journal of Information Management, 22(2):157−62. https://doi.org/10.1016/S0268-4012(01)00051-2.
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- Kanetkar, J. (2014). Development of subject gateways: A status update. DESIDOC Journal of Library & Information Technology, 34(5): 367−75. https://doi.org/10.14429/djlit.34.5807
- Koch, T. (2000). Quality-controlled subject gateways: Definitions, typologies, empirical overview. Online Information Review, 24(1): 24−34. https://doi.org/10.1108/14684520010320040
- Robinson, L. and Bawden, D. (1999). Internet subject gate-ways. International Journal of Information Management, 19(6): 511−22. Retrieved from http://openaccess.city.ac.uk/3184/1/Internet%20subject%20gateways.pdf.
- Soper, D.S. (2017). p-Value calculator for a chi-square test [Computer software]. Retrieved from http://www.danielsoper.com/statcalc.