Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 29th IEEE International Requirements Engineering Conference Workshops, REW 2021 |
| Editors | Tao Yue, Mehdi Mirakhorli |
| Publisher | IEEE Computer Society |
| Pages | 320-327 |
| Number of pages | 8 |
| ISBN (electronic) | 9781665418980 |
| ISBN (print) | 978-1-6654-1899-7 |
| Publication status | Published - Sept 2021 |
| Externally published | Yes |
| Event | 29th IEEE International Requirements Engineering Conference Workshops, REW 2021 - Virtual, Notre Dame, United States Duration: 20 Sept 2021 → 24 Sept 2021 Conference number: 29 |
Publication series
| Name | Proceedings of the IEEE International Conference on Requirements Engineering |
|---|---|
| Volume | 2021-September |
| ISSN (Print) | 1090-705X |
| ISSN (electronic) | 2332-6441 |
Abstract
In recent decades, there has been a major shift towards improved digital access to scholarly works. However, even now that these works are available in digital form, they remain document-based, making it difficult to communicate the knowledge they contain. The next logical step is to extend these works with more flexible, fine-grained, semantic, and context-sensitive representations of scholarly knowledge. The Open Research Knowledge Graph (ORKG) is a platform that structures and interlinks scholarly knowledge, relying on crowd-sourced contributions from researchers (as a crowd) to acquire, curate, publish, and process this knowledge. In this experience report, we consider the ORKG in the context of Crowd-based Requirements Engineering (CrowdRE) from two perspectives: (1) As CrowdRE researchers, we investigate how the ORKG practically applies CrowdRE techniques to involve scholars in its development to make it align better with their academic work. We determined that the ORKG readily provides social and financial incentives, feedback elicitation channels, and support for context and usage monitoring, but that there is improvement potential regarding automated user feedback analyses and a holistic CrowdRE approach. (2) As crowd members, we explore how the ORKG can be used to communicate scholarly knowledge about CrowdRE research. For this purpose, we curated qualitative and quantitative scholarly knowledge in the ORKG based on papers contained in two previously published systematic literature reviews (SLRs) on CrowdRE. This knowledge can be explored and compared interactively, and with more data than what the SLRs originally contained. Therefore, the ORKG improves access and communication of the scholarly knowledge about CrowdRE research. For both perspectives, we found the ORKG to be a useful multi-tool for CrowdRE research.
Keywords
- Crowd, crowd-based requirements engineering, crowdsourcing, knowledge graph, open research
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Engineering(all)
- General Engineering
- Business, Management and Accounting(all)
- Strategy and Management
Cite this
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Proceedings - 29th IEEE International Requirements Engineering Conference Workshops, REW 2021. ed. / Tao Yue; Mehdi Mirakhorli. IEEE Computer Society, 2021. p. 320-327 (Proceedings of the IEEE International Conference on Requirements Engineering; Vol. 2021-September).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research
AU - Karras, Oliver
AU - Groen, Eduard C.
AU - Khan, Javed Ali
AU - Auer, Soren
N1 - Conference code: 29
PY - 2021/9
Y1 - 2021/9
N2 - In recent decades, there has been a major shift towards improved digital access to scholarly works. However, even now that these works are available in digital form, they remain document-based, making it difficult to communicate the knowledge they contain. The next logical step is to extend these works with more flexible, fine-grained, semantic, and context-sensitive representations of scholarly knowledge. The Open Research Knowledge Graph (ORKG) is a platform that structures and interlinks scholarly knowledge, relying on crowd-sourced contributions from researchers (as a crowd) to acquire, curate, publish, and process this knowledge. In this experience report, we consider the ORKG in the context of Crowd-based Requirements Engineering (CrowdRE) from two perspectives: (1) As CrowdRE researchers, we investigate how the ORKG practically applies CrowdRE techniques to involve scholars in its development to make it align better with their academic work. We determined that the ORKG readily provides social and financial incentives, feedback elicitation channels, and support for context and usage monitoring, but that there is improvement potential regarding automated user feedback analyses and a holistic CrowdRE approach. (2) As crowd members, we explore how the ORKG can be used to communicate scholarly knowledge about CrowdRE research. For this purpose, we curated qualitative and quantitative scholarly knowledge in the ORKG based on papers contained in two previously published systematic literature reviews (SLRs) on CrowdRE. This knowledge can be explored and compared interactively, and with more data than what the SLRs originally contained. Therefore, the ORKG improves access and communication of the scholarly knowledge about CrowdRE research. For both perspectives, we found the ORKG to be a useful multi-tool for CrowdRE research.
AB - In recent decades, there has been a major shift towards improved digital access to scholarly works. However, even now that these works are available in digital form, they remain document-based, making it difficult to communicate the knowledge they contain. The next logical step is to extend these works with more flexible, fine-grained, semantic, and context-sensitive representations of scholarly knowledge. The Open Research Knowledge Graph (ORKG) is a platform that structures and interlinks scholarly knowledge, relying on crowd-sourced contributions from researchers (as a crowd) to acquire, curate, publish, and process this knowledge. In this experience report, we consider the ORKG in the context of Crowd-based Requirements Engineering (CrowdRE) from two perspectives: (1) As CrowdRE researchers, we investigate how the ORKG practically applies CrowdRE techniques to involve scholars in its development to make it align better with their academic work. We determined that the ORKG readily provides social and financial incentives, feedback elicitation channels, and support for context and usage monitoring, but that there is improvement potential regarding automated user feedback analyses and a holistic CrowdRE approach. (2) As crowd members, we explore how the ORKG can be used to communicate scholarly knowledge about CrowdRE research. For this purpose, we curated qualitative and quantitative scholarly knowledge in the ORKG based on papers contained in two previously published systematic literature reviews (SLRs) on CrowdRE. This knowledge can be explored and compared interactively, and with more data than what the SLRs originally contained. Therefore, the ORKG improves access and communication of the scholarly knowledge about CrowdRE research. For both perspectives, we found the ORKG to be a useful multi-tool for CrowdRE research.
KW - Crowd
KW - crowd-based requirements engineering
KW - crowdsourcing
KW - knowledge graph
KW - open research
UR - http://www.scopus.com/inward/record.url?scp=85118434605&partnerID=8YFLogxK
U2 - 10.1109/REW53955.2021.00056
DO - 10.1109/REW53955.2021.00056
M3 - Conference contribution
AN - SCOPUS:85118434605
SN - 978-1-6654-1899-7
T3 - Proceedings of the IEEE International Conference on Requirements Engineering
SP - 320
EP - 327
BT - Proceedings - 29th IEEE International Requirements Engineering Conference Workshops, REW 2021
A2 - Yue, Tao
A2 - Mirakhorli, Mehdi
PB - IEEE Computer Society
T2 - 29th IEEE International Requirements Engineering Conference Workshops, REW 2021
Y2 - 20 September 2021 through 24 September 2021
ER -