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OverviewFull Product DetailsAuthor: Gianluca Demartini , Katja Hose , Maribel Acosta , Matteo PalmonariPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Volume: 15233 ISBN: 9783031778469ISBN 10: 3031778464 Pages: 343 Publication Date: 27 November 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of Contents.- Resource Track. .- SparkKG-ML: A Library to Facilitate end–to–end Large–scale Machine Learning over Knowledge Graphs in Python. .- KROWN: A Benchmark for RDF Graph Materialisation. .- KGHeartBeat: a Knowledge Graph Quality Assessment Tool. .- InstructIE: A Bilingual Instruction-based Information Extraction Dataset. .- Diachronical geometry without polygons: the extended HHT ontology for heterogeneous geometrical representations. .- CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks. .- AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning. .- SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles. .- The ICS-SEC KG: An Integrated Cybersecurity Resource for Industrial Control Systems. .- Data Privacy Vocabulary (DPV) – Version 2.0. .- In-Use Track. .- Developing Application Profiles for Enhancing Data and Workflows in Cultural Heritage Digitisation Processes. .- Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources. .- Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop. .- UFEL: a By-design Understandable and Frugal Entity Linking System for French Microposts. .- Leveraging Knowledge Graphs for Earth System Dataset Discovery. .- Semantic and technically interoperable data exchange in the Flanders Smart Data Space. .- Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data. .- Increasing the Accuracy of LLM Question-Answering Systems on SQL Databases with Ontologies.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |