TY - GEN
T1 - Managing Comprehensive Research Instrument Descriptions Within a Scholarly Knowledge Graph
AU - Haris, Muhammad
AU - Auer, Sören
AU - Stocker, Markus
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In research, measuring instruments play a crucial role in producing the data that underpin scientific discoveries. Information about instruments is essential in data interpretation and, thus, knowledge production. However, if at all available and accessible, such information is scattered across numerous data sources. Relating the relevant details, e.g. instrument specifications or calibrations, with associated research assets (data, but also operating infrastructures) is challenging. Moreover, understanding the (possible) use of instruments is essential for researchers in experiment design and execution. To address these challenges, we propose a Knowledge Graph (KG) based approach for representing, publishing, and using information, extracted from various data sources, about instruments and associated scholarly artefacts. The resulting KG serves as a foundation for exploring and gaining a deeper understanding of the use and role of instruments in research, discovering relations between instruments and associated artefacts (articles and datasets), and opens the possibility to quantify the impact of instruments in research.
AB - In research, measuring instruments play a crucial role in producing the data that underpin scientific discoveries. Information about instruments is essential in data interpretation and, thus, knowledge production. However, if at all available and accessible, such information is scattered across numerous data sources. Relating the relevant details, e.g. instrument specifications or calibrations, with associated research assets (data, but also operating infrastructures) is challenging. Moreover, understanding the (possible) use of instruments is essential for researchers in experiment design and execution. To address these challenges, we propose a Knowledge Graph (KG) based approach for representing, publishing, and using information, extracted from various data sources, about instruments and associated scholarly artefacts. The resulting KG serves as a foundation for exploring and gaining a deeper understanding of the use and role of instruments in research, discovering relations between instruments and associated artefacts (articles and datasets), and opens the possibility to quantify the impact of instruments in research.
KW - Instruments (Meta)data
KW - Instruments Knowledge Graph
KW - Machine Actionability
KW - Open Research Knowledge Graph
KW - Scholarly Communication
UR - https://www.scopus.com/pages/publications/85213054888
U2 - 10.1007/978-981-96-0868-3_3
DO - 10.1007/978-981-96-0868-3_3
M3 - Conference contribution
AN - SCOPUS:85213054888
SN - 9789819608676
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 39
EP - 53
BT - Sustainability and Empowerment in the Context of Digital Libraries
A2 - Oliver, Gillian
A2 - Frings-Hessami, Viviane
A2 - Du, Jia Tina
A2 - Tezuka, Taro
PB - Springer Science and Business Media Deutschland GmbH
T2 - 26th International Conference on Asia-Pacific Digital Libraries, ICADL 2024
Y2 - 4 December 2024 through 6 December 2024
ER -