Information and Library Network

This study explores a practical case study of the development and implementation of an automated news alert system by integrating Google News, Google Sheets, and LibGuides to optimize the dissemination of curated news to users at the Jio Institute Digital Library, India. This system currently delivers news updates for 287 companies and is scalable to include more, according to institutional needs. The development process was simplified with the help of artificial intelligence tools such as ChatGPT, which enables library professionals with limited technical expertise to build advanced automation frameworks. The technical workflow and challenges faced are examined in this article. Additionally, this study underlines the transformative potential of artificial intelligence in modernizing library operations for an efficient future in library services. The study shares the meticulous deployment of open source as well as proprietary software; depicts the potential of scalable and cost-effective automation systems in modernizing libraries; and highlights the need for training programs to shape professionals to maximize the adoption of artificial intelligence in libraries.

PurposeIn the era of artificial intelligence (AI), algorithms have gained unprecedented importance. Scientific studies have shown that algorithms are frequently mentioned in papers, making mention frequency a classical indicator of their popularity and influence. However, contemporary methods for evaluating influence tend to focus solely on individual algorithms, disregarding the collective impact resulting from the interconnectedness of these algorithms, which can provide a new way to reveal their roles and importance within algorithm clusters. This paper aims to build the co-occurrence network of algorithms in the natural language processing field based on the full-text content of academic papers and analyze the academic influence of algorithms in the group based on the features of the network.Design/methodology/approachWe use deep learning models to extract algorithm entities from articles and construct the whole, cumulative and annual co-occurrence networks. We first analyze the characteristics of algorithm networks and then use various centrality metrics to obtain the score and ranking of group influence for each algorithm in the whole domain and each year. Finally, we analyze the influence evolution of different representative algorithms.FindingsThe results indicate that algorithm networks also have the characteristics of complex networks, with tight connections between nodes developing over approximately four decades. For different algorithms, algorithms that are classic, high-performing and appear at the junctions of different eras can possess high popularity, control, central position and balanced influence in the network. As an algorithm gradually diminishes its sway within the group, it typically loses its core position first, followed by a dwindling association with other algorithms.Originality/valueTo the best of the authors’ knowledge, this paper is the first large-scale analysis of algorithm networks. The extensive temporal coverage, spanning over four decades of academic publications, ensures the depth and integrity of the network. Our results serve as a cornerstone for constructing multifaceted networks interlinking algorithms, scholars and tasks, facilitating future exploration of their scientific roles and semantic relations.

Background Libraries support us by giving us the information we require, which is a very important part of their role in our lives. It is regarded as a group or establishment that assists us in effectively storing information and collects, protects, and disperses it to people that require it. The documents are gathered by the agricultural library, which then makes them accessible to its users by giving them the necessary details. Teachers, students, and researchers who study zoology, genetics, plant and animal breeding, anatomy and physiology, plant and animal pathology, entomology, soil science, horticulture, and agricultural economics are among the users of agricultural libraries. The agricultural library’s users must cater to a variety of patrons, including those with very specific needs, such teachers, and scientists. Area of Study 13 private agriculture colleges in Uttar Pradesh were chosen by the researcher for the study. Methodology Data were gathered using the survey method. 770 survey questionnaires were handed out. Findings Despite having a proper library, ICT infrastructure, and many other things, the study’s findings demonstrate that private agriculture colleges in Uttar Pradesh do not have a collection of electronic resources. The report makes several recommendations for the creation of libraries for private agriculture institutions in Uttar Pradesh.

The paper elaborates the conceptual framework for resource allocation model based on performance of Higher Educational Institutions (HEIs). It provides logical workflow to develop input-oriented and output-oriented prediction model to assign academic, financial, and research enhancing resources to the institutions. The input- and output-oriented parameters such as faculty student ratio, number of publications, number of citations, number of patents, capital and operational expenditure, student admission ratio, number of PhD scholars enrolled, and number of PhD scholars graduated would be considered for the conceptual framework. All parameters would be identified by applying supervised machine learning algorithm like correlation and regression analysis. The data envelopment analysis (DEA) would be used to measure relative efficiency of each institution. The unsupervised machine learning algorithm would be implemented to find out clusters of institutions based on their relative efficiency. Finally, the input-oriented and output-oriented predication model would be developed to allocate resources to the institutions. The conceptual framework is being developed as a hybrid model with combination of optimization techniques of operation research and machine learning algorithms. The prediction model plays a vital role to allocate resources to the HEIs based on their performance. It would become benchmarking and decision-making model in perspective with higher education sector in India for administrators, funding agencies, and policymakers.

Institutions of advanced education and research, through their libraries, invest substantially in licensed online resources. Only authorized users of an institution are entitled to access licensed online resources. Seamless on-campus access to licensed resources happens mostly through Internet Protocol (IP) address authentication. Increasingly, licensed online resources are accessed by authorized users from off-campus locations as well. Libraries will, therefore, need to ensure seamless off-campus access to authorized users. Libraries have been using various technologies, including proxy server or virtual private network (VPN) server or single sign-on, to facilitate seamless off-campus access to licensed resources. In this paper, authors share their experience in setting up a Shibboleth-based single sign-on (SSO) access management system at the JRD Tata Memorial Library, Indian Institute of Science, to enable authorized users of the institute to seamlessly access licensed online resources from off-campus locations.

This paper aims to provide quantitative data on students’ of Gujarat University Library for the Mobile learning to regard as the benefit to academic of mobile library services to library users. The M-learning research included an online survey through Google form that involved 80 participants. In addition, the paper provides data for libraries to establish the value of developing their own mobile learning and services. It also demonstrates the propagation of mobile device usage within the library and shows which services students would find most useful in Mlearning. The paper provides coming into a rapidly moving area of technology as confirmed through the research. The increase use of mobile devices among students is vital to acknowledge. The role of the academic library is to hug changing student behaviour by provide services optimised for mobile devices.