Browse Forschungszentren by GND Subject Category

Browse Forschungszentren by GND Subject Category

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  • 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 ...
  • MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles 
    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 ...
  • Multi-fair Capacitated Students-Topics Grouping Problem 
    Le Quy, Tai; Friege, Gunnar; Ntoutsi, Eirini (Berlin ; Heidelberg : Springer, 2023)
    Group work is a prevalent activity in educational settings, where students are often divided into topic-specific groups based on their preferences. The grouping should reflect students’ aspirations as much as possible. ...
  • A Multimodal Approach for Semantic Patent Image Retrieval 
    Pustu-Iren, Kader; Bruns, Gerrit; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Patent images such as technical drawings contain valuable information and are frequently used by experts to compare patents. However, current approaches to patent information retrieval are largely focused on textual ...
  • Multimodal Geolocation Estimation of News Photos 
    Tahmasebzadeh, Golsa; Hakimov, Sherzod; Ewerth, Ralph; Müller-Budack, Eric (Cham : Springer, 2023-03-17)
    The widespread growth of multimodal news requires sophisticated approaches to interpret content and relations of different modalities. Images are of utmost importance since they represent a visual gist of the whole news ...
  • 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 ...
  • OCT wavenumber calibration with simple reference arm modification 
    Zabic, Miroslav; Hansert, Simon; Johannsmeier, Sonja; Heinemann, Dag; Heisterkamp, Alexander; Ripken, Tammo (Washington, DC : Optical Society of America, 2021)
    FD-OCT systems with non-uniform wavenumber sampling require calibration and resampling routines to achieve optimal axial resolution. We present a simple calibration procedure and provide all necessary algorithmic ...
  • On the Impact of Dataset Size: A Twitter Classification Case Study 
    Nguyen, Thi Huyen; Nguyen, Hoang H.; Ahmadi, Zahra; Hoang, Tuan-Anh; Doan, Thanh-Nam (New York,NY,United States : Association for Computing Machinery, 2021)
    The recent advent and evolution of deep learning models and pre-trained embedding techniques have created a breakthrough in supervised learning. Typically, we expect that adding more labeled data improves the predictive ...
  • On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study 
    Gritz, Wolfgang; Hoppe, Anett; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Search engines are normally not designed to support human learning intents and processes. The field of Search as Learning (SAL) aims to investigate the characteristics of a successful Web search with a learning purpose. ...
  • 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 ...
  • Open Research Knowledge Graph: A System Walkthrough 
    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 ...
  • Optical fibre sensors based on multi-mode fibres and MIMO signal processing: An experimental approach 
    Ahrens, Andreas; Sandmann, Andre; Bremer, Kort; Roth, Bernhard; Lochmann, Steffen (Bellingham, WA : S P I E - International Society for Optical Engineering, 2015)
    In this paper multiple-input multiple-output (MIMO) signal processing is investigated for fibre optic sensor applications. A (2 × 2) MIMO implementation is realized by using lower-order and higher-order mode groups of a ...
  • Orometric methods in bounded metric data 
    Stubbemann, Maximilian; Hanika, Tom; Stumme, Gerd (Berlin ; Heidelberg : Springer, 2020)
    A large amount of data accommodated in knowledge graphs (KG) is metric. For example, the Wikidata KG contains a plenitude of metric facts about geographic entities like cities or celestial objects. In this paper, we propose ...
  • Pattern-Based Acquisition of Scientific Entities from Scholarly Article Titles 
    D’Souza, Jennifer; Auer, Sören (New York, NY : Springer, 2021)
    We describe a rule-based approach for the automatic acquisition of salient scientific entities from Computational Linguistics (CL) scholarly article titles. Two observations motivated the approach: (i) noting salient aspects ...
  • Probabilistic investigation of debris impact velocities during extreme flooding events 
    Stolle, Jacob; Nistor, Ioan; Goseberg, Nils; Petriu, Emil (Reston, VA : American Society of Civil Engineers (ASCE), 2018)
    Forensic engineering surveys of extreme flooding events, such as the 2011 Tohoku Tsunami and the 2012 Hurricane Katrina, demonstrated the importance of debris in estimating loading on structures. Debris are any solid objects ...
  • QuoteKG: A Multilingual Knowledge Graph of Quotes 
    Kuculo, Tin; Gottschalk, Simon; Demidova, Elena (Cham, Switzerland : Springer, 2022)
    Quotes of public figures can mark turning points in history. A quote can explain its originator’s actions, foreshadowing political or personal decisions and revealing character traits. Impactful quotes cross language ...
  • Retrieval, Crawling and Fusion of Entity-centric Data on the Web 
    Dietze, Stefan (Heidelberg : Springer Verlag, 2017)
    While the Web of (entity-centric) data has seen tremendous growth over the past years, take-up and re-use is still limited. Data vary heavily with respect to their scale, quality, coverage or dynamics, what poses challenges ...
  • A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies 
    Navarrete, Evelyn; Hoppe, Anett; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Human learning shifts stronger than ever towards online settings, and especially towards video platforms. There is an abundance of tutorials and lectures covering diverse topics, from fixing a bike to particle physics. ...

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