2018, Sohmen, Lucia, Charbonnier, Jean, Blümel, Ina, Wartena, Christian, Heller, Lambert, Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J.

This paper summarizes the results of a comprehensive statistical analysis on a corpus of open access articles and contained figures. It gives an insight into quantitative relationships between illustrations or types of illustrations, caption lengths, subjects, publishers, author affiliations, article citations and others.

2020, Keck, Ingo R., Vidal, Maria-Esther, Heller, Lambert, Mikroyannidis, Alexander, Chang, Maiga, White, Stephen

In this article, we look at the challenges that arise in the use and management of education credentials, and from the switch from analogue, paper-based education credentials to digital education credentials. We propose a general methodology to capture qualitative descriptions and measurable quantitative results that allow to estimate the effectiveness of a digital credential management system in solving these challenges. This methodology is applied to the EU H2020 project QualiChain use case, where five pilots have been selected to study a broad field of digital credential workflows and credential management. Copyright (c) IARIA, 2020

2019, Burblies, Christine, Pianos, Tamara

[no abstract available]

2023, Jankowski, Patricia, Höfner, Anja, Hoffmann, Marja Lena, Rohde, Friederike, Rehak, Rainer, Graf, Johanna

The second ‹Bits & Bäume› conference took place in Berlin in 2022. Once again, it provided a space for critical tech and sustainability communities to share ideas and collaborate towards the common goal of shaping digitalisation to foster sustainability. This companion book compiles the insights, work, research and opinions of more than 65 authors with a ‹Bits & Bäume› background, including practitioners, researchers and activists. The articles included in this journal demonstrate the progress made in merging ‹Bits› and ‹Bäume› (Trees) topics since our first publication in 2019 by addressing different sub-areas of the intersections between digitalisation and sustainability. Encompassing a wide range of topics, the articles delve into pressing challenges such as the resource consumption, power implications and democratic governance of digital infrastructures, AI, blockchains, mobile apps, and other software applications, as well as the need to address the unsustainable practices and paradigms of e.g., the platform economy. Offering not only transparency but also solutions, the journal presents practical approaches and concepts related to the necessary transformation, such as the Computer Science for Future programme. It also contains articles commenting on current political developments, such as the EU legislation on sustainability and freedom-related aspects of ICT devices. Further articles highlight the power of and need for an active civil society, aiming to inspire activism. This journal caters for everyone: Are you just getting into the topics around Bits & Bäume? Have you been involved in this field for many years, or are you an expert in one of the areas touched on here? In this journal you will find both introductory topics, such as illustrations on the challenges of today's digitalised society, and also advanced topics, such as conceptual and regulatory discussions. Whatever your background, we think you’ll enjoy the read, learn something new on the way, and get inspired. Ultimately, we are all united by the overarching goal of shaping digitalisation as part of a necessary socio-ecological change; one which contributes to a sustainable and just society.

2022, Oelen, Allard, Stocker, Markus, Auer, Sören, Aizawa, Akiko

As the number of published scholarly articles grows steadily each year, new methods are needed to organize scholarly knowledge so that it can be more efficiently discovered and used. Natural Language Processing (NLP) techniques are able to autonomously process scholarly articles at scale and to create machine readable representations of the article content. However, autonomous NLP methods are by far not sufficiently accurate to create a high-quality knowledge graph. Yet quality is crucial for the graph to be useful in practice. We present TinyGenius, a methodology to validate NLP-extracted scholarly knowledge statements using microtasks performed with crowdsourcing. The scholarly context in which the crowd workers operate has multiple challenges. The explainability of the employed NLP methods is crucial to provide context in order to support the decision process of crowd workers. We employed TinyGenius to populate a paper-centric knowledge graph, using five distinct NLP methods. In the end, the resulting knowledge graph serves as a digital library for scholarly articles.

2023, Obrezkov, Denis, Oelen, Allard, Auer, Sören, Abdelnour-Nocera, José L., Marta Lárusdóttir, Petrie, Helen, Piccinno, Antonio, Winckler, Marco

The amount of research articles produced every day is overwhelming: scholarly knowledge is getting harder to communicate and easier to get lost. A possible solution is to represent the information in knowledge graphs: structures representing knowledge in networks of entities, their semantic types, and relationships between them. But this solution has its own drawback: given its very specific task, it requires new methods for designing and evaluating user interfaces. In this paper, we propose an approach for user interface evaluation in the knowledge communication domain. We base our methodology on the well-established Cognitive Walkthough approach but employ a different set of questions, tailoring the method towards domain-specific needs. We demonstrate our approach on a scholarly knowledge graph implementation called Open Research Knowledge Graph (ORKG).

2020, Elias, Mirette, Oelen, Allard, Tavakoli, Mohammadreza, Kismihok, Gábor, Auer, Sören, Alario-Hoyos, Carlos, Rodríguez-Triana, María Jesús, Scheffel, Maren, Arnedillo-Sánchez, Inmaculada, Dennerlein, Sebastian Maximilian

Open Educational Resources (OER) are free and open-licensed educational materials widely used for learning. OER quality assessment has become essential to support learners and teachers in finding high-quality OERs, and to enable online learning repositories to improve their OERs. In this work, we establish a set of evaluation metrics that assess OER quality in OER authoring tools. These metrics provide guidance to OER content authors to create high-quality content. The metrics were implemented and evaluated within SlideWiki, a collaborative OpenCourseWare platform that provides educational materials in presentation slides format. To evaluate the relevance of the metrics, a questionnaire is conducted among OER expert users. The evaluation results indicate that the metrics address relevant quality aspects and can be used to determine the overall OER quality.

2023, Tietz, Tabea, Bruns, Oleksandra, Sack, Harald, Bikakis, Antonis, Ferrario, Roberta, Jean, Stéphane, Markhoff, Béatrice, Mosca, Alessandro, Nicolosi Asmundo, Marianna

The performing arts are complex, dynamic and embedded into societal and political systems. Providing means to research historical performing arts data is therefore crucial for understanding our history and culture. However, currently no commonly accepted ontology for historical performing arts data exists. On the example of the Linked Stage Graph, this position paper presents the ongoing process of creating an application-driven and efficient data model by leveraging and building upon existing standards and ontologies like CIDOC-CRM, FRBR, and FRBRoo.

2023, Dessi, Danilo, Dessi, Rima, Alam, Mehwish, Trojahn, Cassia, Hertling, Sven, Pesquita, Catia, Aebeloe, Christian, Aras, Hidir, Azzam, Amr, Cano, Juan, Domingue, John, Gottschalk, Simon, Hartig, Olaf, Hose, Katja, Kirrane, Sabrina, Lisena, Pasquale, Osborne, Francesco, Rohde, Philipp, Steels, Luc, Taelman, Ruben, Third, Aisling, Tiddi, Ilaria, Türker, Rima

Textual documents are the means of sharing information and preserving knowledge for a large variety of domains. The patent domain is also using such a paradigm which is becoming difficult to maintain and is limiting the potentialities of using advanced AI systems for domain analysis. To overcome this issue, it is more and more frequent to find approaches to transform textual representations into Knowledge Graphs (KGs). In this position paper, we discuss KGs within the patent domain, present its challenges, and envision the benefits of such technologies for this domain. In addition, this paper provides insights of such KGs by reproducing an existing pipeline to create KGs and applying it to patents in the computer science domain.

2023, Arend, Daniel, Bach, Janete, Elger, Kirsten, Göller, Sandra, Hagemann-Wilholt, Stephanie, Krahl, Rolf, Lange, Matthias, Linke, David, Mayer, Desiree, Mutschke, Peter, Reimer, Lorenz, Scheidgen, Markus, Schrader, Antonia C., Selzer, Michael, Wieder, Philipp

In order to gain an overview of the current state of the discussion on PIDs and for the identification of use cases for the initiation phase of a PID service within the NFDI basic services, the working group Persistent Identifier of the Section Common Infrastructures of the NFDI hosted an online workshop in January 2023. In the course of the workshop, members of nine different NFDI consortia presented the current application of PIDs in their consortia.