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

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

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  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Experience: Open Fiscal Datasets, Common Issues, and Recommendations 
    Musyaffa, Fathoni A.; Engels, Christiane; Vidal, Maria-Esther; Orlandi, Fabrizio; Auer, Sören (2018)
    A pre-print paper detailing recommendation for publishing fiscal data, including assessment framework for fiscal datasets. This paper has been accepted at ACM Journal of Data and Information Quality (JDIQ) in 2018.
  • 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 ...
  • 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 ...
  • 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 ...
  • Ontology-Based Representation for Accessible OpenCourseWare Systems 
    Elias, Mirette; Lohmann, Steffen; Auer, Sören (Basel : MDPI, 2018)
    OpenCourseWare (OCW) systems have been established to provide open educational resources that are accessible by anyone, including learners with special accessibility needs and preferences. We need to find a formal and ...
  • OpenBudgets.eu: A Platform for Semantically Representing and Analyzing Open Fiscal Data 
    Musyaffa, Fathoni A.; Halilaj, Lavdim; Li, Yakun; Orlandi, Fabrizio; Jabeen, Hajira; Auer, Sören; Vidal, Maria-Esther (2018)
    A paper describing the details of OpenBudgets.eu platform implementation. Pre-print version of the paper accepted at International Conference On Web Engineering (ICWE) 2018 in Caceres, Spain.
  • 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 ...
  • 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. ...
  • The SciQA Scientific Question Answering Benchmark for Scholarly Knowledge 
    Auer, Sören; Barone, Dante A. C.; Bartz, Cassiano; Cortes, Eduardo G.; Jaradeh, Mohamad Yaser; Karras, Oliver; Koubarakis, Manolis; Mouromtsev, Dmitry; Pliukhin, Dmitrii; Radyush, Daniil; Shilin, Ivan; Stocker, Markus; Tsalapati, Eleni ([London] : Macmillan Publishers Limited, part of Springer Nature, 2023)
    Knowledge graphs have gained increasing popularity in the last decade in science and technology. However, knowledge graphs are currently relatively simple to moderate semantic structures that are mainly a collection of ...
  • 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. ...
  • 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 ...

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