| || Usage and Performance of Various Library Software Modules in Engineering Colleges of Karnataka
Author :Mulla, K.R.;Chandrashekara, M.;Talwar, V.G.
Source: DESIDOC Journal of Library and Information Technology :30(3) ; 2010 ; pp.13-22
Abstract : In India library automation began in the late 1970s in a few special libraries and has now reached most of the university libraries. It has yet to take off in college libraries in Karnataka owing to various problems. Many studies on library automation have been undertaken in the developed countries, but few have been undertaken in India. This study is a survey of engineering college libraries that have computerised their operations and services in Karnataka. The study is limited to the automated libraries of engineering college libraries in Karnataka. It gives a status on the software packages used by the various libraries, and opinions of the librarians about the performance of the different modules of the software they have used.
Keywords : Library automation;serial control;Online Public Access Catalogue (OPAC);software modules;engineering college libraries;Karnataka
| || Generating user profiles by translating content queries to concepts using thesaurus
Author :Rao, K. Nageswara;Talwar, V.G.
Source: DESIDOC Bulletin of Information Technology :26(4) ; 2006 ; pp.03-15
Abstract : As more information becomes available electronically, information retrieval or filtering tools for finding information of interest to users become increasingly important. Building tools for assisting users in finding relevant information is often complicated by the difficulty in articulating user interest in a form that can be used for searching. The aim of the approach described here is to build instantaneous user profiles in a single episode information-seeking environment that instantaneously and accurately captures uses interests with minimum user interaction. The research work described here focuses on the importance of accuracy and preciseness of user profiles that could be represented in terms of concepts, i.e., keywords or subject descriptors assigned to technical documents. Studies conducted here are in the context of understanding and building content-based profiling system for technical documents, specially in the field of aerospace science and technology. Sample data of aerospace grey literature in the form of technical papers with title and associated descriptors have been considered for the design and development of database and webbased profile builder for generating user profiles. The descriptors assigned to technical papers with the help of technical thesaurus were considered. Equal importance or weightage was given to broader and narrower terms, because there is no pre-defined mechanism to assign different weightage to different subject descriptors. Generated user profiles in terms of weighted vector of descriptors could directly be used for recommending technical documents with relevance ranking for latest addition of documents.
Keywords : Information retrieval system;Information filtering;Recommender system;User profiles;Grey literature;profile builder
| || Application Domain and Functional Classification of Recommender Systems—A Survey
Author :Rao, K. Nageswara;Talwar, V.G.
Source: DESIDOC Journal of Library and Information Technology :28(3) ; 2008 ; pp.17-35
Abstract : The amount of scientific and technical information is growing exponentially. As a result, the scientific community has been overwhelmed by the information published in number of new books, journal articles, and conference proceedings. In addition to increasing number of publications, advances in information technology have dramatically reduced the barriers in electronic publishing and distribution of information over networks virtually anywhere in the world. As a result, the scientific community is facing the problem of locating relevant or interesting information. To address the problem of information overload and to sift all available information sources for useful information, recommender systems or filtering systems have emerged. Generally, recommender systems are used online to suggest items that users find interesting, thereby, benefiting both the user and merchant. Recommender systems benefit the user by making him suggestions on items that he is likely to purchase and the business by increase of sales. Filtering information or generation of recommendations by the recommender systems mimic the process of information retrieval systems by incorporating advanced profile building techniques, item/user representation techniques, filtering and recommendation techniques, and profile adaptation techniques. This paper addresses the application domain analysis, functional classification, advantages and disadvantages of various filtering and recommender systems.
Keywords : Recommender system;Filtering system;Domain analysis;content based filtering system;Collaborative Filtering Systems;Demographic Filtering Systems
| || Awareness and Extent of Utilisation of Web-based Open Source e-Learning Coursewares among Educators and Students
Author :Ghalib, Mohamed A.M. ;Chandrashekara, M.;Talwar, V.G.
Source: DESIDOC Journal of Library and Information Technology :29(3) ; 2009 ; pp.43-48
Abstract : Open source movement plays a vital role in the development of open education resources in higher education. Open source e-learning courseware (OSeLCW) is an initiative within this movement. Many institutions today post their courses for free and open access via the Internet to users all over the world. This paper assesses the awareness, access, and utilisation of such wealth of web-based OSeLCW among educators and students of engineering colleges in Mysore city.
Keywords : E-learning;Web-based learning;Open educational resources;Open courseware;Open source e-learning coursewares;Awareness;Access;Utilisation