arXiv subjects

Snehasish Paul

Publications and source records attributed to Snehasish Paul.

4 recordsLinked to original sources

arXiv2026

Beyond Metadata: The Role of DOI, ORCID, and ROR in Shaping Transparent and Interoperable Library Systems

The digital transformation of scholarly communication has changed the way libraries manage, preserve scholarly research and share it with the public. This research looks at three persistent identifier (PID) systems: the Digital Object Identifier (DOI), the Open Researcher and Contributor ID (ORCID), and the Research Organization Registry (ROR), which are necessary for a transparent and interoperable library infrastructure. Evidence from 2019-2026 shows how PIDs have changed from metadata tags to machine-actionable connective tissue that links researchers, institutions, publications, datasets, and funding. Findings from implementation studies at the global level show very diverse adoption of ORCIDs, between 41% and 89% among German research organizations, yet continued issues with metadata quality and PID literacy. This research identifies promising practices in Europe and Latin America, examines barriers, and proposes measures for libraries, universities, policymakers, and Library and Information science professionals.

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arXiv2026

Smarter AI Through Prompt Engineering: Insights and Case Studies from Data Science Application

The field of prompt engineering is becoming an essential phenomenon in artificial intelligence. It is altering how data scientists interact with large language models (LLMs) for analytics applications. This research paper shares empirical results from different studies on prompt engineering with regards to its methodology, effectiveness, and applications. Through case studies in healthcare, materials science, financial services, and business intelligence, we demonstrate how the use of structured prompting techniques can improve performance on a range of tasks by between 6% and more than 30%. The effectiveness of prompts relies on their complexity, according to our findings. Further, model architecture and optimisation strategy also depend on these factors as well. We also found promise in advanced frameworks such as chain-of-thought reasoning and automatic optimisers. The proof indicates that prompt engineering allows access to strong AI localisation. Nonetheless, there is plenty of information regarding standardisation, interpretability and the ethical use of AI.

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arXiv2026

Building Faculty Expertise Ontology using Protege: Enhancing Academic Library Research Services

Academic libraries struggle to find and access faculty expertise across disciplines. This research proposes a faculty expertise ontology with a hierarchical structure based on Protégé to enhance library services and knowledge organisation. The ontology classifies relationships between departments, subject areas, faculty members, and contact data into layers including Top, Middle, and Bottom levels. The academic structure that this tiered form takes enables discovery of expertise in departments. The ontology which answers competency questions generated from the subject matter experts can answer real-world questions like which faculties are in the specific areas, how to collaborate with other disciplines and search contact information and so on. Competency questions act as design and test instruments to show that the ontology will fulfil the information needs of Researchers, Librarians and Administrators. The ontology is able to cope with semantically-enhanced queries, as shown by SPARQL implementations. The model works effectively in initiating referrals to an expert, aligning research with the strength of a department and allowing academics to partner up. The ontology delivers a scalable platform that adapts to institutional change. In the future, we intend to integrate with institutional databases and library systems for automatic API updates, as well as develop user interfaces and visualisations.

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arXiv2024

Empowering Library Users: Creative Strategies for Engagement and Innovation

This study investigated the integration of cutting-edge technologies and methodologies for creating dynamic, user-centered library environments. In creative strategies for engagement and innovation, library users must be empowered to undertake the new role of modernizing library services and enhancing user experiences. It also enhances the information management and user engagement. This can be attained from personalized approaches, such as recommendation systems to interactive platforms that will have effective experiences tailored to users of different natures. It investigates the consumer engagement practices of enthusiasm, sharing, and learning about their roles in cognitive, affective, and behavioural engagements. Combined, these new approaches will help promote learning, interaction, and growth, add value, and have a more positive impact on users. The challenge for libraries in this rapidly changing, technologically advancing, and digitally networked world, with a base of expectant users, is to remain relevant and engaging. This study discusses innovative strategies for empowering library users and enhancing their engagement through creative and technological approaches. This investigation was conducted to integrate cutting-edge technologies and methodologies into creating dynamic library settings that are user-centered and foster learning, interaction, and personal growth.

cs.DL↗