Auflistung nach Autor/in "da4da909-e34e-41f4-a235-71e33fa1fb1f"

Auflistung nach Autor/in "da4da909-e34e-41f4-a235-71e33fa1fb1f"

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  • Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade 
    Lackner, Arthur; Fathalla, Said; Nayyeri, Mojtaba; Behrend, Andreas; Manthey, Rainer; Auer, Sören; Lehmann, Jens; Vahdati, Sahar (Dordrecht [u.a.] : Springer Science + Business Media B.V., 2021)
    The publish or perish culture of scholarly communication results in quality and relevance to be are subordinate to quantity. Scientific events such as conferences play an important role in scholarly communication and ...
  • Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies 
    Brack, Arthur; Hoppe, Anett; Stocker, Markus; Auer, Sören; Ewerth, Ralph (Berlin, Heidelberg, New York : Springer, 2021)
    Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview ...
  • Automated Mining of Leaderboards for Empirical AI Research 
    Kabongo, Salomon; D’Souza, Jennifer; Auer, Sören (New York, NY : Springer, 2021)
    With the rapid growth of research publications, empowering scientists to keep an oversight over scientific progress is of paramount importance. In this regard, the leaderboards facet of information organization provides ...
  • Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines 
    Jaradeh, Mohamad Yaser; Singh, Kuldeep; Stocker, Markus; Both, Andreas; Auer, Sören (New York, NY : Springer, 2021)
    We propose Plumber, the first framework that brings together the research community’s disjoint information extraction (IE) efforts. The Plumber architecture comprises 33 reusable components for various Knowledge Graphs ...
  • BOUNCER: Privacy-aware Query Processing Over Federations of RDF Datasets 
    Endris, Kemele M; Almhithawi, Zuhair; Lytra, Ioanna; Vidal, Maria-Esther; Auer, Sören (Heidelberg : Springer, 2018)
    Data provides the basis for emerging scientific and interdisciplinary data-centric applications with the potential of improving the quality of life for the citizens. However, effective data-centric applications demand data ...
  • 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 ...
  • 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, ...
  • Comparing research contributions in a scholarly knowledge graph 
    Oelen, Allard; Jaradeh, Mohamad Yaser; Farfar, Kheir Eddine; Stocker, Markus; Auer, Sören (Aachen : RWTH Aachen, 2019)
    Conducting a scientific literature review is a time consuming activity. This holds for both finding and comparing the related literature. In this paper, we present a workflow and system designed to, among other things, ...
  • Computer Science Named Entity Recognition in the Open Research Knowledge Graph 
    D’Souza, Jennifer; Auer, Sören (New York, NY : Springer, 2022)
    Domain-specific named entity recognition (NER) on Computer Science (CS) scholarly articles is an information extraction task that is arguably more challenging for the various annotation aims that can hamper the task and ...
  • 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 ...
  • Creation of a Knowledge Space by Semantically Linking Data Repository and Knowledge Management System - a Use Case from Production Engineering 
    Sheveleva, Tatyana; Wawer, Max Leo; Oladazimi, Pooya; Koepler, Oliver; Nürnberger, Florian; Lachmayer, Roland; Auer, Sören; Mozgova, Iryna (Frankfurt ; München [u.a.] : Elsevier, 2022)
    The seamless documentation of research data flows from generation, processing, analysis, publication, and reuse is of utmost importance when dealing with large amounts of data. Semantic linking of process documentation and ...
  • Crowdsourcing Scholarly Discourse Annotations 
    Oelen, Allard; Stocker, Markus; Auer, Sören (New York, NY : Association for Computing Machinery, 2021)
    The number of scholarly publications grows steadily every year and it becomes harder to find, assess and compare scholarly knowledge effectively. Scholarly knowledge graphs have the potential to address these challenges. ...
  • Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen 
    Müller, Laura; Wawer, Max Leo; Heimes, Norman; Uhe, Johanna; Koepler, Oliver; Auer, Sören; Lachmayer, Roland; Mozgova, Iryna (Erlangen : Ehemaligennetzwerk des Lehrstuhls für Konstruktionstechnik (KTmfk) Erlangen e.V., 2023)
    Progressive digitization throughout the entire product data life cycle requires a more sensitive handling and understanding of data within engineering processes. Regarding engineering research data, the aim is to implement ...
  • Demonstration of a customizable representation model for graph-based visualizations of ontologies – GIzMO 
    Wiens, Vitalis; Galkin, Mikhail; Lohmann, Steffen; Auer, Sören (Aachen, Germany : RWTH Aachen, 2019)
    Visualizations can facilitate the development, exploration, communication, and sense-making of ontologies. Suitable visualizations, however, are highly dependent on individual use cases and targeted user groups. In this ...
  • Development of a domain-specific ontology to support research data management for the tailored forming technology 
    Sheveleva, Tatyana; Koepler, Oliver; Mozgova, Iryna; Lachmayer, Roland; Auer, Sören (Amsterdam [u.a.] : Elsevier, 2020)
    The global trend towards the comprehensive digitisation of technologies in product manufacturing is leading to radical changes in engineering processes and requires a new extended understanding of data handling. The amounts ...
  • The Digitalization of Bioassays in the Open Research Knowledge Graph 
    D’Souza, Jennifer; Monteverdi, Anita; Haris, Muhammad; Anteghini, Marco; Farfar, Kheir Eddine; Stocker, Markus; dos Santos, Vitor A. P. Martins; Auer, Sören (New York, NY : Springer, 2022)
    Background: Recent years are seeing a growing impetus in the semantification of scholarly knowledge at the fine-grained level of scientific entities in knowledge graphs. The Open Research Knowledge Graph (ORKG, orkg.org) ...
  • Divide and Conquer the EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering 
    Karras, Oliver; Wernlein, Felix; Klünder, Jil; Auer, Sören (Piscataway, NJ : IEEE, 2023)
    [Background.] Empirical research in requirements engineering (RE) is a constantly evolving topic, with a growing number of publications. Several papers address this topic using literature reviews to provide a snapshot of ...
  • Duplicate Table Detection with Xash 
    Koch, Maximilian; Esmailoghli, Mahdi; Auer, Sören; Abedjan, Ziawasch (Bonn : Ges. für Informatik, 2023)
    Data lakes are typically lightly curated and as such prone to data quality problems and inconsistencies. In particular, duplicate tables are common in most repositories. The goal of duplicate table detection is to identify ...
  • 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 ...
  • 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 ...