Zhang, L.Artifacts are permanents that represent magical items, animated constructs, pieces of equipment, or other objects and devices. Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Amsterdam University Press, Amsterdam (2009) Vernooy-Gerritsen, M.: Enhanced Publications: Linking Publications and Research Data in Digital Repositories. McKiernan, E.C., et al.: Point of view: how open science helps researchers succeed. Limani, F.: Project GeRDI collection in RDF (0.3.0). Limani, F.: OpenAIRE ScholeXplorer data dump in RDF (0.1.0). In: Proceedings of the 10th International Conference on Knowledge Capture, pp. Jaradeh, M.Y., et al.: Open research knowledge graph: next generation infrastructure for semantic scholarly knowledge. In: 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pp. Hienert, D., Kern, D., Boland, K., Zapilko, B., Mutschke, P.: A digital library for research data and related information in the social sciences. Haslhofer, B., Isaac, A., Simon, R.: Knowledge graphs in the libraries and digital humanities domain. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. Web 9(1), 77–129 (2018)įathalla, S., Vahdati, S., Auer, S., Lange, C.: Towards a knowledge graph representing research findings by semantifying survey articles. SEMANTiCS (Posters, Demos, SuCCESS) 48, 1–4 (2016)įärber, M., Bartscherer, F., Menne, C., Rettinger, A.: Linked data quality of dbpedia, freebase, opencyc, wikidata, and yago. Patterns 2(1), 100180 (2021)Įhrlinger, L., Wöß, W.: Towards a definition of knowledge graphs. Edition mono/monochrom, Vienna (2020)Ĭousijn, H., et al.: Connected research: the potential of the PID graph.
Īndreas, B., Helmut, N.: The Knowledge Graph Cookbook Recipes That Work. In: Italian Research Conference on Digital Libraries (IRCDL), Modena, Italy (2017, September 25). Data 5(1), 1–9 (2018)Ītzori, C., Bardi, A., Manghi, P., Mannocci, A.: The OpenAIRE workflows for data management. Accessed Īngioni, S., Osborne, F., Salatino, A., Reforgiato Recupero, D., Motta, E.: Integrating knowledge graphs for comparing the scientific output of academia and industry (2019)Īryani, A., et al.: A research graph dataset for connecting research data repositories using rd-switchboard. GeRDI: Generic Research Data Infrastructure. SN SciGraph: A Linked Open Data platform for the scholarly domain. Finally, we explore the value and potential use cases from this integration for the library community in the domain of economics. This includes the approach to specify it and its components considering the library environment, and the accompanying methodology used to implement it.
In this work, we adopt them to bring research artifacts of different types in a more compact research unit. Knowledge Graphs (KG) have been applied as means to bring together data from heterogeneous sources, within or across multiple domains, and this has shown to be an effective approach. We also witnessed this trend with the library community, where different stakeholders – users, library patrons, or management – require that new research artifacts, such as scientific blogs, datasets, or citation links, be included in the library catalogs alongside existing artifacts.
The traditional practice of conference and journal publications being the key artifacts to publish have changed to include new or complementary artifacts that help the audience grasp the research outcomes as much as possible as a single unit or whole. Scholarly communication process is constantly evolving to include new artifacts that present a part of the research.
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