Auflistung Forschungszentren nach Schlagwörtern (GND)

Auflistung Forschungszentren nach Schlagwörtern (GND)

Sortiert nach: Sortierung: Ergebnisse:

  • A novel engine mount with semi-active dry friction damping 
    Lorenz, M.; Heimann, B.; Haertel, V. (Amsterdam : Ios PressNew York, NY : Hindawi Publishing Corporation, 2006)
    In this paper the authors present a semi-active engine mount with a controllable friction damper. The normal force of the friction contact is applied by an electromagnetic actuator and can be varied dynamically. The nonlinear ...
  • 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 ...
  • Biopolymer nanocomposites: Their mechanical, thermal, and gas barrier properties for food packaging 
    Andini, R.; Sulaiman, M.I.; Umam, A.H.; Olivia, M.; Endres, H.J. (London [u.a.] : Institute of Physics, 2021)
    The food packaging industry is the largest sector of the plastic industry, accounting for 40% of the total (conventional) plastic demand. Conventional plastic packaging has significant practical advantages, in protecting ...
  • Citation needed: A taxonomy and algorithmic assessment of Wikipedia's verifiability 
    Redi, Miriam; Morgan, Jonathan; Fetahu, Besnik; Taraborelli, Dario (New York, NY : Association for Computing Machinery, Inc, 2019)
    Wikipedia is playing an increasingly central role on the web, and the policies its contributors follow when sourcing and fact-checking content affect million of readers. Among these core guiding principles, verifiability ...
  • Combining Textual Features for the Detection of Hateful and Offensive Language 
    Hakimov, Sherzod; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    The detection of offensive, hateful and profane language has become a critical challenge since many users in social networks are exposed to cyberbullying activities on a daily basis. In this paper, we present an analysis ...
  • Comparing Interface Layouts for the Presentation of Multimodal Search Results 
    Gritz, Wolfgang; Otto, Christian; Hoppe, Anett; Pardi, Georg; Kammerer, Yvonne; Ewerth, Ralph (New York, NY : Association for Computing Machinery, 2023)
    Today's search engines allow users to discover relevant information in different types of modalities or media, e.g., web pages, text documents, images, or videos. It is, however, a challenging task to present mixed-modality ...
  • 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. ...
  • Defeasible Reasoning with Large Language Models - Initial Experiments and Future Directions 
    Antoniou, Grigoris; Batsakis, Sotiris (Aachen, Germany : RWTH Aachen, 2023)
    As Large Language Models gain prominence in the AI landscape, it is essential to understand their capabilities and limitations, among others in terms of reasoning. This paper is a first step towards understanding the ...
  • Domain-Specific Modeling of User Knowledge in Informational Search Sessions 
    Tang, Rui; Yu, Ran; Rokicki, Markus; Ewerth, Ralph; Dietze, Stefan (Aachen, Germany : RWTH Aachen, 2021)
    Users frequently search on the Web to fulfill information needs with learning intent. In this context, usefulness of the search results depends strongly on the knowledge state of the user. In order to satisfy learning needs ...
  • 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 ...
  • For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems 
    Erlei, Alexander; Das, Richeek; Meub, Lukas; Anand, Avishek; Gadiraju, Ujwal (New York,NY,United States : Association for Computing Machinery, 2022)
    As algorithms are increasingly augmenting and substituting human decision-making, understanding how the introduction of computational agents changes the fundamentals of human behavior becomes vital. This pertains to not ...
  • Grade Level Filtering for Learning Object Search using Entity Linking 
    Sebastian, Ratan J.; Ewerth, Ralph; Hoppe, Anett (Aachen, Germany : RWTH Aachen, 2023)
    More and more Learning Objects like lessons, exercises, worksheets and lesson plans are available online. Finding them, however, is a challenge as they often lack metadata concerning format, content and, in the K-12 context: ...
  • Improving Generalization for Multimodal Fake News Detection 
    Tahmasebi, Sahar; Hakimov, Sherzod; Ewerth, Ralph; Müller-Budack, Eric (New York, NY : Association for Computing Machinery, 2023)
    The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-the-art approaches are usually trained on ...
  • Increasing Reproducibility in Science by Interlinking Semantic Artifact Descriptions in a Knowledge Graph 
    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 ...
  • Integration eines digitalen Maschinenparks in ein Forschungsdatenmanagementsystem 
    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 ...
  • Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings 
    Manzoor Bajwa, Awais; Collarana, Diego; Vidal, Maria-Esther (Cham : Springer, 2019)
    Biomedical knowledge graphs such as STITCH, SIDER, and Drugbank provide the basis for the discovery of associations between biomedical entities, e.g., interactions between drugs and targets. Link prediction is a paramount ...
  • Interlinking documents based on semantic graphs 
    Nunes, Bernardo Pereira; Kawase, Ricardo; Fetahu, Besnik; Dietze, Stefan; Casanova, Marco Antonio; Maynard, Diana (Amsterdam [u.a.] : Elsevier, 2013)
    Connectivity and relatedness of Web resources are two concepts that define to what extent different parts are connected or related to one another. Measuring connectivity and relatedness between Web resources is a growing ...
  • 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 ...
  • MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks 
    Sao, Ashutosh; Gottschalk, Simon; Tempelmeier, Nicolas; Demidova, Elena (Berlin ; Heidelberg : Springer, 2023)
    Accurate spatio-temporal prediction is essential for capturing city dynamics and planning mobility services. State-of-the-art deep spatio-temporal predictive models depend on rich and representative training data for target ...

Suche im Repositorium


Durchblättern

Mein Nutzer/innenkonto

Nutzungsstatistiken