Methodology for AI-Based Search Strategy of Scientific Papers: Exemplary Search for Hybrid and Battery Electric Vehicles in the Semantic Scholar Database

Authors : Florian Wätzold, Bartosz Popiela, Jonas Mayer

The rapid development of artificial intelligence (AI) has significantly enhanced productivity, particularly in repetitive tasks. In the scientific domain, literature review stands out as a key area where AI-based tools can be effectively applied. This study presents a methodology for developing a search strategy for systematic reviews using AI tools. The Semantic Scholar database served as the foundation for the search process. The methodology was tested by searching for scientific papers related to batteries and hydrogen vehicles with the aim of enabling an evaluation for their potential applications. An extensive list of vehicles and their operational environments based on international standards and literature reviews was defined and used as the main input for the exemplary search.

The AI-supported search yielded approximately 60,000 results, which were subjected to an initial relevance assessment. For the relevant papers, a neighbourhood analysis based on citation and reference networks was conducted. The final selection of papers, covering the period from 2013 to 2023, included 713 papers assessed after the initial review. An extensive discussion of the results is provided, including their categorisation based on search terms, publication years, and cluster analysis of powertrains, as well as operational environments of the vehicles involved.

This case study illustrates the effectiveness of the proposed methodology and serves as a starting point for future research. The results demonstrate the potential of AI-based tools to enhance productivity when searching for scientific papers.

URL : Methodology for AI-Based Search Strategy of Scientific Papers: Exemplary Search for Hybrid and Battery Electric Vehicles in the Semantic Scholar Database

DOI : https://doi.org/10.3390/publications12040049

The Living Library: a process-based tool for open literature review, probing the boundaries of open science

Authors : Elisabeth Angerer, Maura Cassidy Burke, Simon Dirks, Arthur Bakker, Aitana Bilinski Torres, Toine Pieters

The Living Library is a novel tool for opening the scientific process of literature reviewing. We here present its core features, set-up and workflow, and provide the open-source code via GitHub (https://github.com/Simon-Dirks/living-library). The Living Library allows researchers to sort articles thematically and temporally, has a built-in open logbook, and uses a responsive methodology.

These core features render the Living Library both a practical tool, and an educative framework for reflection on the research process. Its use deepened our understanding of what it means and what it takes to open science, which we summarise in three main lessons: openness is multidirectional, involving sharing and receiving; openness is relational and as such requires boundary work; and openness entails judgments of relevance.

This highlights the intimate connection between research relevance and open science: Opening science is no categorical practice, but the continuous syncing to a world in motion—opening up for it and to it, to varying degrees at different boundaries, in response to what is happening and what matters.

The Living Library models what such syncing can look like in relation to the evolving academic conversation. We encourage further experimentation with the Living Library to probe the boundaries of open science.

URL : The Living Library: a process-based tool for open literature review, probing the boundaries of open science

DOI : https://doi.org/10.1007/s43545-024-00964-z