Auflistung nach Schlagwort "Knowledge graphs"

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  • Bias Assessments of Benchmarks for Link Predictions over Knowledge Graphs 
    Sawischa, Sammy Fabian (Hannover : Gottfried Wilhelm Leibniz Universität, 2023-04-26)
    Link prediction (LP) aims to tackle the challenge of predicting new facts by reasoning over a knowledge graph (KG). Different machine learning architectures have been proposed to solve the task of LP, several of them ...
  • 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, ...
  • FALCON: An entity and relation linking framework over DBpedia 
    Sakor, Ahmad; Singh, Kuldeep; Vidal, Maria-Esther (Aachen, Germany : RWTH Aachen, 2019)
    We tackle the problem of entity and relation linking and present FALCON, a rule-based tool able to accurately map entities and relations in short texts to resources in a knowledge graph. FALCON resorts to fundamental ...
  • 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 ...
  • LaSER: Language-specific event recommendation 
    Abdollahi, Sara; Gottschalk, Simon; Demidova, Elena (Amsterdam [u.a.] : Elsevier, 2023)
    While societal events often impact people worldwide, a significant fraction of events has a local focus that primarily affects specific language communities. Examples include national elections, the development of the ...
  • 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 ...
  • The quest for research information 
    Blümel, Ina; Dietze, Stefan; Heller, Lambert; Jäschke, Robert; Mehlberg, Martin (Amsterdam [u.a.] : Elsevier, 2014)
    Research information, i.e., data about research projects, organisations, researchers or research outputs such as publications or patents, is spread across the web, usually residing in institutional and personal web pages ...
  • 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 ...
  • SmartReviews: Towards Human- and Machine-Actionable Reviews 
    Oelen, Allard; Stocker, Markus; Auer, Sören (New York, NY : Springer, 2021)
    Review articles summarize state-of-the-art work and provide a means to organize the growing number of scholarly publications. However, the current review method and publication mechanisms hinder the impact review articles ...
  • When humans and machines collaborate: Cross-lingual Label Editing in Wikidata 
    Kaffee, Lucie-Aimée; Endris, Kemele M.; Simperl, Elena (New York, NY : Association for Computing Machinery, Inc., 2019)
    The quality and maintainability of a knowledge graph are determined by the process in which it is created. There are different approaches to such processes; extraction or conversion of available data in the web (automated ...