Auflistung Forschungszentren nach Dewey Decimal Classification

Auflistung Forschungszentren nach Dewey Decimal Classification

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  • A graph database for persistent identifiers 
    Doan, Triet; Wiese, Lena; Bingert, Sven; Yahyapour, Ramin (Aachen, Germany : RWTH Aachen, 2019)
    The Handle Software manages references to resources of information. However, it does not support a search functionality. A prior implementation with Elasticsearch could not efficiently capture the complex structure of our ...
  • A multitask transfer learning framework for the prediction of virus-human protein–protein interactions 
    Dong, Thi Ngan; Brogden, Graham; Gerold, Gisa; Khosla, Megha (London : BioMed Central, 2021)
    Background: Viral infections are causing significant morbidity and mortality worldwide. Understanding the interaction patterns between a particular virus and human proteins plays a crucial role in unveiling the underlying ...
  • Adaptive ontology re-use: Finding and re-using sub-ontologies 
    Stecher, Rodolfo; Niederée, Claudia; Nejdl, Wolfgang; Bouquet, Paolo (Bingley : Emerald Group Publishing Ltd., 2008)
    Purpose - The discovery of the "right" ontology or ontology part is a central ingredient for effective ontology re-use. The purpose of this paper is to present an approach for supporting a form of adaptive re-use of ...
  • Analysing and Enriching Focused Semantic Web Archives for Parliament Applications 
    Demidova, Elena; Barbieri, Nicola; Dietze, Stefan; Funk, Adam; Holzmann, Helge; Maynard, Diana; Papailiou, Nikolaos; Peters, Wim; Risse, Thomas; Spiliotopoulos, Dimitris (Basel : MDPI AG, 2014)
    The web and the social web play an increasingly important role as an information source for Members of Parliament and their assistants, journalists, political analysts and researchers. It provides important and crucial ...
  • 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 ...
  • Bias in data-driven artificial intelligence systems—An introductory survey 
    Ntoutsi, Erini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis; Staab, Steffen (Hoboken, NJ : Wiley-Blackwell, 2020)
    Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing ...
  • Can Deep Learning Improve Technical Analysis of Forex Data to Predict Future Price Movements? 
    Fisichella, Marco; Garolla, Filippo (New York, NY : IEEE, 2021)
    The foreign exchange market (Forex) is the world's largest market for trading foreign money, with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated and volatile. Technical analysis ...
  • Characterization and classification of semantic image-text relations 
    Otto, Christian; Springstein, Matthias; Anand, Avishek; Ewerth, Ralph (London : Springer, 2020)
    The beneficial, complementary nature of visual and textual information to convey information is widely known, for example, in entertainment, news, advertisements, science, or education. While the complex interplay of image ...
  • 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 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, ...
  • A Comparison of Automated Journal Recommender Systems 
    Entrup, Elias; Ewerth, Ralph; Hoppe, Anette (Cham : Springer, 2023)
    Choosing the right journal for an article can be a challenge. Automated manuscript matching can help authors with the decision by recommending suitable journals based on user-defined criteria. Several approaches for efficient ...
  • Crowdsourcing for web genre annotation 
    Asheghi, Noushin Rezapour; Sharoff, Serge; Markert, Katja (Dordrecht : Springer Netherlands, 2016)
    Recently, genre collection and automatic genre identification for the web has attracted much attention. However, currently there is no genre-annotated corpus of web pages where inter-annotator reliability has been established, ...
  • 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. ...
  • CrysXPP: An explainable property predictor for crystalline materials 
    Das, Kishalay; Samanta, Bidisha; Goyal, Pawan; Lee, Seung-Cheol; Bhattacharjee, Satadeep; Ganguly, Niloy (London : Nature Publ. Group, 2022)
    We present a deep-learning framework, CrysXPP, to allow rapid and accurate prediction of electronic, magnetic, and elastic properties of a wide range of materials. CrysXPP lowers the need for large property tagged datasets ...
  • 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 ...
  • 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 ...
  • Disarming visualization-based approaches in malware detection systems 
    Saidia Fascí, Lara; Fisichella, Marco; Lax, Gianluca; Qian, Chenyi (Amsterdam [u.a.] : Elsevier Science, 2022)
    Visualization-based approaches have recently been used in conjunction with signature-based techniques to detect variants of malware files. Indeed, it is sufficient to modify some byte of executable files to modify 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 ...

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