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Structuring Scientific Knowledge in Software Engineering Using the Open Research Knowledge Graph: A Use Case and Experience Report

Kaplan, Angelika 1; Chebbi, Fatma; Fuchß, Dominik ORCID iD icon 1; Karras, Oliver; Hey, Tobias ORCID iD icon 1; Koziolek, Anne ORCID iD icon 1; Reussner, Ralf 1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract:

Until now, papers have been the central communication medium for new research outcomes and findings that enhance the current body of scientific knowledge. In software engineering (SE), those research artifacts are aligned to further replication artifacts, comprising data and software underlying the empirical findings in a paper with validity and evidence. The research community is aware of the need for infrastructures with services that support the Findable, Accessible, Interoperable, and Reusable (FAIR) principles that foster and improve research data management. This implies a more convenient research environment and an easier knowledge transfer to research and practice. In this paper, we aim to explore the use of the Open Research Knowledge Graph (ORKG) for semantic structuring of research artifacts using the concept of ORKG template specification, supporting the aforementioned vision. Therefore, we present a use case in one of the research sub-fields of SE, namely software architecture and design (SWA). We explore the capabilities of the ORKG for describing semantic structures in this research field and discuss design decisions for the template specification. ... mehr

Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2025
Sprache Englisch
Identifikator KITopen-ID: 1000179405
Erschienen in Software Engineering 2025 – Companion Proceedings. Ed.: K. Feichtinger
Veranstaltung Software Engineering (SE 2025), Karlsruhe, Deutschland, 24.02.2025 – 28.02.2025
Verlag Gesellschaft für Informatik (GI)
Seiten 287-296
Schlagwörter Research Data Management, Software Engineering, Research Knowledge Graphs, Open Research Knowledge Graph, Semantic Modeling

Verlagsausgabe §
DOI: 10.5445/IR/1000179405
Veröffentlicht am 21.02.2025
Originalveröffentlichung
DOI: 10.18420/se2025-ws-29
Seitenaufrufe: 47
seit 21.02.2025
Downloads: 24
seit 24.02.2025
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