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11. Optimizing Digital Knowledge Repositories: Leveraging Electronic Resources in University Libraries For Enhanced Academic Advantages.

Author

Verma, Sandeep and Dwivedi, Utkarsh

Subjects
D. Libraries as physical collections., DD. Academic libraries.
Abstract

In the current digital age, academic libraries are witnessing a pervasive integration of electronic resources as a commonplace occurrence. The rapid proliferation of the internet, particularly the World Wide Web, is displacing the traditional reliance on external storage mediums such as floppy disks and CD-ROMs. This shift is contributing to the global expansion of digital libraries, driven by the evolving landscape of information accessibility. Simultaneously, users are experiencing an escalating demand for electronic resources aligned with their academic requisites. This paper focuses primarily on internet-accessible resources, specifically those providing information not readily available through conventional media and associated with recognized scholars or institutions. The study critically examines various types of electronic resources, highlighting their advantages and inherent benefits. Furthermore, it delves into strategies aimed at optimizing the utilization of these resources and concludes with insightful suggestions to enhance electronic resource services to meet evolving academic needs.

Published
2023

19. Factors Influencing User Acceptance of Digital Libraries: Banaras Hindu University and Mahatma Gandhi Kashi Vidyapeeth University

Author

Dwiwedi, Utkarsh, Verma, Sandeep, and Mishra, Rajani

Subjects
D. Libraries as physical collections.
Abstract

The study is conducted with the evaluation factor for user acceptance of digital libraries in India: A study of the University of Varanasi (BHU and MGKVP). Banaras Hindu University is explaining the role of digital libraries in universities by looking at the benefits of digital libraries, their applications, and their services. It is discussing the drawbacks of digital libraries and the challenges encountered in implementing digital libraries as resources in education. Since digital libraries are unique and creative information structures that are constantly evolving and changing, assessment is critical to ensuring not just their proper progression but also their adoption by the students. To increase education and public interest, information and communication technology (ICT) has been commonly used in digital library systems. Researchers can reliably access relevant knowledge by browsing the internet. Educational and cultural dimensions are included in the use of digital libraries, such as knowledge opportunities. A digital archive deals with data that is digital and has been digitised from analogue form.

Published
2023

24. Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks

Author

Azunre, Paul, Corcoran, Craig, Dhamani, Numa, Gleason, Jeffrey, Honke, Garrett, Sullivan, David, Ruppel, Rebecca, Verma, Sandeep, and Morgan, Jonathon

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

A character-level convolutional neural network (CNN) motivated by applications in "automated machine learning" (AutoML) is proposed to semantically classify columns in tabular data. Simulated data containing a set of base classes is first used to learn an initial set of weights. Hand-labeled data from the CKAN repository is then used in a transfer-learning paradigm to adapt the initial weights to a more sophisticated representation of the problem (e.g., including more classes). In doing so, realistic data imperfections are learned and the set of classes handled can be expanded from the base set with reduced labeled data and computing power requirements. Results show the effectiveness and flexibility of this approach in three diverse domains: semantic classification of tabular data, age prediction from social media posts, and email spam classification. In addition to providing further evidence of the effectiveness of transfer learning in natural language processing (NLP), our experiments suggest that analyzing the semantic structure of language at the character level without additional metadata---i.e., network structure, headers, etc.---can produce competitive accuracy for type classification, spam classification, and social media age prediction. We present our open-source toolkit SIMON, an acronym for Semantic Inference for the Modeling of ONtologies, which implements this approach in a user-friendly and scalable/parallelizable fashion.

Published
2019

29. Carbon Nanostructures for Fighting Antimicrobial Resistant Bacteria

Author

Gupta, Nandini, Deoghare, Payal M., Singh, Prashant, Sankhla, Mahipal Singh, Sonone, Swaroop S., Parihar, Kapil, Vanisree, C. R., Yadav, Chandra Shekhar, Verma, Sandeep Kumar, Prasad, Ram, Series Editor, Kumar, Vinay, editor, Shriram, Varsha, editor, Shukla, Ravi, editor, and Gosavi, Suresh, editor

Published
2022
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30. Nanobiosensors and Industrial Wastewater Treatments

Author

Singh, Prashant, Sankhla, Mahipal Singh, Vanisree, C. R., Parihar, Kapil, Jadhav, Ekta B., Verma, Sandeep Kumar, Singh, Ravindra Pratap, editor, Ukhurebor, Kingsley Eghonghon, editor, Singh, Jay, editor, Adetunji, Charles Oluwaseun, editor, and Singh, Kshitij RB, editor

Published
2022
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40. Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings

Author

Azunre, Paul, Corcoran, Craig, Sullivan, David, Honke, Garrett, Ruppel, Rebecca, Verma, Sandeep, and Morgan, Jonathon

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

This paper describes an abstractive summarization method for tabular data which employs a knowledge base semantic embedding to generate the summary. Assuming the dataset contains descriptive text in headers, columns and/or some augmenting metadata, the system employs the embedding to recommend a subject/type for each text segment. Recommendations are aggregated into a small collection of super types considered to be descriptive of the dataset by exploiting the hierarchy of types in a pre-specified ontology. Using February 2015 Wikipedia as the knowledge base, and a corresponding DBpedia ontology as types, we present experimental results on open data taken from several sources--OpenML, CKAN and data.world--to illustrate the effectiveness of the approach.

Published
2018

46. Electronic Resource Management (ERM): Procurement Policies, Issues and Challenges in Indian Libraries

Author

Verma, Sandeep Kumar, T K, Gireesh Kumar, and Singh, Kunwar

Subjects
HA. Periodicals, Newspapers., HI. Electronic Media., HN. e-journals., JB. Serials management.
Abstract

This paper provides an overview of electronic resources and its management prevailed in Indian libraries. Also analyses the procurement policies, current trends, issues and challenges faced by the library professionals to provide an effective electronic resource collection to its users in a better way. One of the challenges faced by the librarians to get access to electronic recourses is the availability of the required funds for purchasing it. However, up to some extent consortium for electronic journals help to acquire more resources. This paper would help the librarians to understand the challenges in procuring and managing electronic resources and to take appropriate measures to avoid the issues related.

Published
2021

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