Zentrale Einrichtungen: Recent submissions

  • On the Role of Images for Analyzing Claims in Social Media 
    Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness, and conspiracy detection, all of which ...
  • Exploring Data Mining in Chemistry Education: Building a Web-Based Learning Platform for Learning Analytics 
    Roski, Marvin; Ewerth, Ralph; Hoppe, Anett; Nehring, Andreas (Washington, DC : ACS Publications, 2024)
    The integration of learning analytics and artificial intelligence methods into education is part of the latest developments and significantly affects chemistry education (research): researchers might face the challenge of ...
  • Sequential sentence classification in research papers using cross-domain multi-task learning 
    Brack, Arthur; Entrup, Elias; Stamatakis, Markos; Buschermöhle, Pascal; Hoppe, Anett; Ewerth, Ralph (Berlin ; Heidelberg ; New York : Springer, 2024)
    The automatic semantic structuring of scientific text allows for more efficient reading of research articles and is an important indexing step for academic search engines. Sequential sentence classification is an essential ...
  • PhoenixD Magazine - News from the German Cluster of Excellence on Optics and Photonics 
    Smalian, Sonja; Caspary, Reinhard; Dikty, Sebastian; Roth, Bernhard; Wolf, Alexander (Hannover : Leibniz Universität Hannover, Exzellenzcluster PhoenixD, 2023-11-01)
    News from the German Cluster of Excellence PhoenixD on Optics and Photonics at Leibniz University Hannover with reports, interviews, portraits and the PhoenixD chronicle. Scientific topics are integrated optics, optics ...
  • Knowledge Graph Creation Challenge: Results for SDM-RDFizer 
    Iglesias, Enrique; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2023)
    The amount of data being generated in recent years has increased drastically. Thus, a unified schema must be defined to bring multiple data sources into a single format. For that reason, the use of knowledge graphs has ...
  • A Next-Generation Digital Procurement Workspace Focusing on Information Integration, Automation, Analytics, and Sustainability 
    Stütz, Jan-David; Karras, Oliver; Oelen, Allard; Auer, Sören ([Setúbal] : SCITEPRESS - Science and Technology Publications, Lda., 2023)
    Recent events such as wars, sanctions, pandemics, and climate change have shown the importance of proper supply network management. A key step in managing supply networks is procurement. We present an approach for realizing ...
  • Semantic Representation of Physics Research Data 
    Say, Aysegul; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören ([Setúbal] : SCITEPRESS - Science and Technology Publications, Lda., 2020)
    Improvements in web technologies and artificial intelligence enable novel, more data-driven research practices for scientists. However, scientific knowledge generated from data-intensive research practices is disseminated ...
  • MARE: Semantic Supply Chain Disruption Management and Resilience Evaluation Framework 
    Ramzy, Nour; Auer, Sören; Ehm, Hans; Chamanara, Javad ([Setúbal] : SCITEPRESS - Science and Technology Publications, Lda., 2022)
    Supply Chains (SCs) are subject to disruptive events that potentially hinder the operational performance. Disruption Management Process (DMP) relies on the analysis of integrated heterogeneous data sources such as production ...
  • Collaborative and Cross-Stakeholder Ontology Engineering 
    Khan, Fawad; Engel, Felix; Krdzavac, Nenad; Auer, Sören (Aachen, Germany : RWTH Aachen, 2023)
    One of the major challenges in developing ontologies is to efficiently merge domain knowledge and expert knowledge to enable efficient and effective work on formal modelling of the domain in focus. This paper outlines the ...
  • SciBERT-based semantification of bioassays in the open research knowledge graph 
    Anteghini, Marco; D'Souza, Jennifer; Dos Santos, Vitor A.P. Martins; Auer, Sören (Aachen, Germany : RWTH Aachen, 2020)
    As a novel contribution to the problem of semantifying biological assays, in this paper, we propose a neural-network-based approach to automatically semantify, thereby structure, unstructured bioassay text descriptions. ...
  • Collaborative Work on Ontologies - A Report 
    Engel, Felix; Auer, Sören (Aachen, Germany : RWTH Aachen, 2023)
    Supply chains are vulnerable and inherently complex processes. In-creasing the resilience of supply chains is realised, if the stakeholders involved have agreed on a clear language. Only this enables a comprehensive, ...
  • Technical Research Priorities for Big Data 
    Curry, Edward; Zillner, Sonja; Metzger, Andreas; Berre, Arne J.; Auer, Sören; Walshe, Ray; Despenic, Marija; Petkovic, Milan; Roman, Dumitru; Waterfeld, Walter; Seidl, Robert; Hasan, Souleiman; ul Hassan, Umair; Ojo, Adegboyega (Cham : Springer International Publishing, 2021)
    To drive innovation and competitiveness, organisations need to foster the development and broad adoption of data technologies, value-adding use cases and sustainable business models. Enabling an effective data ecosystem ...
  • NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature 
    D'Souza, Jennifer; Auer, Sören (Aachen, Germany : RWTH Aachen, 2020)
    We describe an annotation initiative to capture the scholarly contributions in natural language processing (NLP) articles, particularly, for the articles that discuss machine learning (ML) approaches for various information ...
  • SemEval-2021 Task 11: NLPCONTRIBUTIONGRAPH - Structuring Scholarly NLP Contributions for a Research Knowledge Graph 
    D'Souza, Jennifer; Auer, Sören; Pedersen, Ted (Stroudsburg, PA : Association for Computational Linguistics (ACL), 2021)
    There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With the volume of research growing exponentially ...
  • Second International Workshop on Linked Data-driven Resilience Research 2023 
    Tramp, Sebastian; Usbeck, Ricardo; Arndt, Natanael; Holze, Julia; Auer, Sören (Aachen, Germany : RWTH Aachen, 2023)
    In the face of continuously changing contextual conditions and ubiquitous disruptive crisis events, the concept of resilience refers to some of the most urgent, challenging, and interesting issues of nowadays society. ...
  • “When Was This Picture Taken?” – Image Date Estimation in the Wild 
    Müller, Eric; Springstein, Matthias; Ewerth, Ralph (Berlin ; Heidelberg : Springer, 2017)
    The problem of automatically estimating the creation date of photos has been addressed rarely in the past. In this paper, we introduce a novel dataset Date Estimation in the Wild for the task of predicting the acquisition ...
  • Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing 
    Oelen, Allard; Stocker, Markus; Auer, Sören (Berlin ; Heidelberg ; New York : Springer, 2023)
    Due to the growing number of scholarly publications, finding relevant articles becomes increasingly difficult. Scholarly knowledge graphs can be used to organize the scholarly knowledge presented within those publications ...
  • Enhanced findability and reusability of Engineering Data by Contextual Metadata 
    Altun, Osman; Oladazimi, Pooya; Wawer, Max Leo; Raumel, Selina; Wurz, Marc; Barienti, Khemais; Nürnberger, Florian; Lachmayer, Roland; Mozgova, Iryna; Koepler, Oliver; Auer, Sören (Cambridge : Cambridge University Press, 2023)
    Complex research problems are increasingly addressed by interdisciplinary, collaborate research projects generating large amounts of heterogeneous amounts of data. The overarching processing, analysis and availability of ...
  • ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph 
    Kabongo, Salomon; D’Souza, Jennifer; Auer, Sören (Berlin ; Heidelberg ; New York : Springer, 2023)
    The purpose of this work is to describe the orkg-Leaderboard software designed to extract leaderboards defined as task–dataset–metric tuples automatically from large collections of empirical research papers in artificial ...
  • EduCOR: An Educational and Career-Oriented Recommendation Ontology 
    Ilkou, Eleni; Abu-Rasheed, Hasan; Tavakoli, Mohammadreza; Hakimov, Sherzod; Kismihók, Gábor; Auer, Sören; Nejdl, Wolfgang (Berlin ; Heidelberg : Springer, 2021)
    With the increased dependence on online learning platforms and educational resource repositories, a unified representation of digital learning resources becomes essential to support a dynamic and multi-source learning ...

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