Knowledge Graphs and Semantic Web

Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Mérida, Mexico, November 26–27, 2020, Proceedings

Häftad, Engelska, 2020

Av Boris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Sanju M. Tiwari, Shishir K. Shandilya, Boris Villazon-Terrazas, Fernando Ortiz-Rodriguez

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This book constitutes the thoroughly refereed proceedings of the Second Iberoamerican Conference, KGSWC 2020, held in Mérida, Mexico, in November 2020.

Produktinformation

Utgivningsdatum2020-12-10
Mått155 x 235 x 13 mm
Vikt353 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor215
FörlagSpringer Nature Switzerland AG
ISBN9783030653835

Tillhör följande kategorier

Informationsteknik: allmänt inom Data och it
Systemvetenskap och AI inom Data och it
Programmeringsböcker inom Data och it
Digital livsstil och datorspel inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it
Tillämpad datateknik inom Data och it

A Domain Ontology for Task Instructions.- Axiomatic relation extraction from text in the domain of Tourism.- Making Neural Networks FAIR.- Creating Annotations for Web Ontology Language Ontology Generated From Relational Databases.- Malware Detection using Machine Learning.- Wikipedia Knowledge Graph for Explainable AI.- Characterizing the Diffusion of Knowledge in an Academic Community Through the Integration of Heterogeneous Data Sources and Graphs.- Relation Classification: How well do Neural Network Approaches Work?.- Standards Conformance Metrics for Geospatial Linked Data.- An Ontological Model for the Failure Detection in Power Electric Systems.- A Spatiotemporal Knowledge Bank from Rape News Articles for Decision Support.- Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition.- Using Domain Ontologies for Text Classification. A Use Case to Classify Computer Science Papers.- Description of OpenData Sets as Semantic Knowledge Graphs to contribute to actions related to the 2030 Agenda and the Sustainable Development Goals.- A Machine Learning Method for Recognizing Invasive Content in Memes.