LDL
https://drtc.isibang.ac.in:443/ldl
The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.2024-03-29T15:48:55ZTapir for ETD Management
https://drtc.isibang.ac.in/ldl/handle/1/582
Tapir for ETD Management
Prasad, A.R.D.; Patel, Dimple
DSpace lacks many metadata fields that are essential in Electronic Thesis and Dissertations (ETD) management. To address this problem, the Edinburgh University Library has developed an Add-on called The Tapir. This paper describes in detail the administration and working of Tapir.
2005-03-01T00:00:00ZLucene Search Engine: An Overview
https://drtc.isibang.ac.in/ldl/handle/1/581
Lucene Search Engine: An Overview
Prasad, A.R.D.; Patel, Dimple
Dspace uses the Lucene Search Engine for searching and browsing for documents. This paper describes the architecture of Lucene Search Engine and how it functions. Paper also describes browsing and searching facilities available in DSpace.
2005-03-01T00:00:00ZOpen Higher Education: Universities as leaders in open access
https://drtc.isibang.ac.in/ldl/handle/1/580
Open Higher Education: Universities as leaders in open access
Patel, Dimple
Universities are seats of higher education and research. Historically, most universities have been patronized and funded by governments. Most of the research and academic activities in most universities are essentially funded by public funds collected in the form of taxes. However much of the output of the research which is carried out in these universities is unfortunately in possession of commercial publishers. The ever increasing prices of scholarly journals and books have brought even the most resourceful libraries of the world to a saturation point. Libraries are no longer able to sustain subscriptions due to stagnant budgets on the one hand and high-cost of publications on the other. The paper discusses these issues and proposes that the Indian universities take up a leadership role in promoting open access to scholarly publications. This paper argues that it is the social responsibility of universities to encourage and implement open access to scholarly information produced by their respective faculty members and researchers.
2015-12-01T00:00:00ZA Combinatorial Approach for Predicting Online Review Helpfulness of Indian Online Travel Agencies
https://drtc.isibang.ac.in/ldl/handle/1849/579
A Combinatorial Approach for Predicting Online Review Helpfulness of Indian Online Travel Agencies
Online user reviews are quite popular in social media, e-commerce and review websites. It is commonly referred as word of mouth which provides positive and negative messages from users about products and services. It helps users to get insights through review ratings and subjective feedback. As the volumes of reviews are high, it makes it harder for users to identify the helpfulness upfront. In general helpfulness rating is provided by the users who read the review, but many reviews still stay unrated. In this paper, we propose an approach of predicting helpfulness of such reviews from mouthshut.com using a combinatorial approach of empirical analysis and naïve Bayes machine learning method. The data set is chosen for Indian Online Travel Agencies (OTA) namely Makemytrip, Cleartrip, Yatra, Goibibo, and Expedia India. A detailed experiment is conducted and results are discussed by analyzing review metadata characteristics.
2016-03-01T00:00:00Z