Details
| Original language | English |
|---|---|
| Title of host publication | Scientific Knowledge |
| Subtitle of host publication | Representation, Discovery, and Assessment 2024 |
| Number of pages | 11 |
| Publication status | Published - 8 Oct 2024 |
| Event | 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024 - Baltimore, United States Duration: 12 Nov 2024 → 12 Nov 2024 |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR-WS |
| Volume | 3780 |
| ISSN (Print) | 1613-0073 |
Abstract
Exponentially increasing inter-related scholarly knowledge is being published on multiple scholarly communication infrastructures. Retrieving data from a single scholarly communication infrastructure is not sufficient to meet users complex requirements. Moreover, the manual linking of scholarly knowledge to produce inter-related outputs is a cumbersome task. Required are flexible and user-friendly mechanisms that retrieve inter-related data from distributed scholarly infrastructures. In the proposal presented here, we leverage a federated interface to access data from multiple scholarly communication infrastructures to answer complex user queries. Specifically, we use ORKG (Open Research Knowledge Graph), ORKG Ask, DataCite, OpenAIRE Graph and Semantic Scholar endpoints to access data from these infrastructures in a federated manner. We present the work for the information needs of diverse stakeholders to demonstrate the practicability of the federation, the straightforward implementation and the added value.
Keywords
- (Meta)data-based Search, Federated Query, Machine Actionability, Open Research Knowledge Graph
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
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Scientific Knowledge: Representation, Discovery, and Assessment 2024. 2024. (CEUR Workshop Proceedings; Vol. 3780).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Federated Querying of Scholarly Communication Infrastructures
AU - Haris, Muhammad
AU - Auer, Sören
AU - Stocker, Markus
N1 - Publisher Copyright: © 2022 Copyright for this paper by its authors.
PY - 2024/10/8
Y1 - 2024/10/8
N2 - Exponentially increasing inter-related scholarly knowledge is being published on multiple scholarly communication infrastructures. Retrieving data from a single scholarly communication infrastructure is not sufficient to meet users complex requirements. Moreover, the manual linking of scholarly knowledge to produce inter-related outputs is a cumbersome task. Required are flexible and user-friendly mechanisms that retrieve inter-related data from distributed scholarly infrastructures. In the proposal presented here, we leverage a federated interface to access data from multiple scholarly communication infrastructures to answer complex user queries. Specifically, we use ORKG (Open Research Knowledge Graph), ORKG Ask, DataCite, OpenAIRE Graph and Semantic Scholar endpoints to access data from these infrastructures in a federated manner. We present the work for the information needs of diverse stakeholders to demonstrate the practicability of the federation, the straightforward implementation and the added value.
AB - Exponentially increasing inter-related scholarly knowledge is being published on multiple scholarly communication infrastructures. Retrieving data from a single scholarly communication infrastructure is not sufficient to meet users complex requirements. Moreover, the manual linking of scholarly knowledge to produce inter-related outputs is a cumbersome task. Required are flexible and user-friendly mechanisms that retrieve inter-related data from distributed scholarly infrastructures. In the proposal presented here, we leverage a federated interface to access data from multiple scholarly communication infrastructures to answer complex user queries. Specifically, we use ORKG (Open Research Knowledge Graph), ORKG Ask, DataCite, OpenAIRE Graph and Semantic Scholar endpoints to access data from these infrastructures in a federated manner. We present the work for the information needs of diverse stakeholders to demonstrate the practicability of the federation, the straightforward implementation and the added value.
KW - (Meta)data-based Search
KW - Federated Query
KW - Machine Actionability
KW - Open Research Knowledge Graph
UR - http://www.scopus.com/inward/record.url?scp=85207091876&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85207091876
T3 - CEUR Workshop Proceedings
BT - Scientific Knowledge
T2 - 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024
Y2 - 12 November 2024 through 12 November 2024
ER -