Browsing Forschungszentren by Author "da4da909-e34e-41f4-a235-71e33fa1fb1f"

Browsing Forschungszentren by Author "da4da909-e34e-41f4-a235-71e33fa1fb1f"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Haris, Muhammad; Stocker, Markus; Auer, Sören (New York, NY : Springer, 2022)
    Leveraging a GraphQL-based federated query service that integrates multiple scholarly communication infrastructures (specifically, DataCite, ORCID, ROR, OpenAIRE, Semantic Scholar, Wikidata and Altmetric), we develop a ...
  • Jiang, Ming; D’Souza, Jennifer; Auer, Sören; Downie, J. Stephen (Heidelberg : Springer, 2021)
    The rapid growth of research publications has placed great demands on digital libraries (DL) for advanced information management technologies. To cater to these demands, techniques relying on knowledge-graph structures are ...
  • Haris, Muhammad; Farfar, Kheir Eddine; Stocker, Markus; Auer, Sören (Heidelberg : Springer, 2021)
    A plethora of scholarly knowledge is being published on distributed scholarly infrastructures. Querying a single infrastructure is no longer sufficient for researchers to satisfy information needs. We present a GraphQL-based ...
  • Mami, Mohamed Nadjib; Graux, Damien; Scerri, Simon; Jabeen, Hajira; Auer, Sören; Lehmann, Jens (Aachen, Germany : RWTH Aachen, 2019)
    Advances in Data Management methods have resulted in a wide array of storage solutions having varying query capabilities and supporting different data formats. Traditionally, heterogeneous data was transformed off-line ...
  • Rabby, Gollam; D’Souza, Jennifer; Oelen, Allard; Dvorackova, Lucie; Svátek, Vojtěch; Auer, Sören (London : BioMed Central, 2023)
    Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric ...
  • Hussein, Hassan; Farfar, Kheir Eddine; Oelen, Allard; Karras, Oliver; Auer, Sören (Cham : Springer, 2023)
    One of the pillars of the scientific method is reproducibility – the ability to replicate the results of a prior study if the same procedures are followed. A lack of reproducibility can lead to wasted resources, false ...
  • Jaradeh, Mohamad Yaser; Singh, Kuldeep; Stocker, Markus; Both, Andreas; Auer, Sören (London : Springer, 2023)
    In the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and weaknesses in effective KG completion have ...
  • Sheveleva, Tatyana; Castro, André; Oladazimi, Pooya; Koepler, Oliver; Mozgova, Iryna; Lachmayer, Roland; Auer, Sören; Altun, Osman ([o.O.] : The Design Society, 2021)
    The global trend towards comprehensive digitization of technologies in product manufacturing leadings to radical changes in engineering processes and requires a new, expanded understanding in the handling of data. Especially ...
  • Jaradeh, Mohamad Yaser; Stocker, Markus; Auer, Sören (New York, NY : Springer, 2022)
    Information extraction from scholarly articles is a challenging task due to the sizable document length and implicit information hidden in text, figures, and citations. Scholarly information extraction has various applications ...
  • 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 ...
  • Jaradeh, Mohamad Yaser; Oelen, Allard; Prinz, Manuel; Stocker, Markus; Auer, Sören (New York, NY : Springer, 2019)
    Despite improved digital access to scholarly literature in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. Scholarly knowledge remains ...

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