Auflistung nach Autor:in "Zapilko, Benjamin"
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- ZeitschriftenartikelApplying Linked Data Technologies in the Social Sciences(KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Zapilko, Benjamin; Schaible, Johann; Wandhöfer, Timo; Mutschke, PeterIn recent years, Linked Open Data (LOD) has matured and gained acceptance across various communities and domains. Large potential of Linked Data technologies is seen for an application in scientific disciplines. In this article, we present use cases and applications for an application of Linked Data in the social sciences. They focus on (a) interlinking domain-specific information, and (b) linking social science data to external LOD sources (e.g. authority data) from other domains. However, several technical and research challenges arise, when applying Linked Data technologies to a scientific domain with its specific data, information needs and use cases. We discuss these challenges and show how they can be addressed.
- KonferenzbeitragResearch Knowledge Graphs in NFDI4DS(INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Karmakar, Saurav; Zloch, Matthäus; Limani, Fidan; Zapilko, Benjamin; Upadhyaya, Sharmila; D’Souza, Jennifer; Castro, Leyla J.; Rehm, Georg; Ackermann, Marcel R.; Sack, Harald; Boukhers, Zeyd; Schimmler, Sonja; Dessí, Danilo; Mutschke, Peter; Dietze, StefanThe ever-increasing amount of research output through scientific articles requires means to enable transparency and a better understanding of key entities of the research lifecycle, referred to as research artifacts, such as methods, software, datasets, etc. Research Knowledge Graphs (RKG) make research artifacts findable, accessible, interoperable, and reusable (FAIR) and facilitate their interpretability. In this article, we describe the role of RKGs, from their construction to the expected benefits, including an overview and a vision of their use within the German National Research Data Infrastructure (NFDI) consortium NFDI4DataScience (NFDI4DS). This paper includes insights about the existing RKGs, how to formally represent research artifacts, and how this supports better transparency and reproducibility in data science and artificial intelligence. We also discuss key challenges, such as RKG construction, and integration, and give an outlook on future work.
- KonferenzbeitragTowards integrating the research data life cycle of the social sciences based on semantic technology(INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013) Wegener, Dennis; Baran, Erdal; Zenk-Möltgen, Wolfgang; Zapilko, BenjaminSocial science today comprises collaborative research, which is more and more carried out on the basis of comprehensive digital infrastructures. These infrastructures aim at integrating all relevant resources for the research and providing tools to use these resources. In this paper, we present the research data life cycle in the social sciences and its challenges. We discuss prior work on integrating the parts of the research data life cycle and identify open issues regarding infrastructure, linking, and privacy. Based on that, we present an outlook on how these problems could be addressed by using semantic technology.