Knowledge Graphs and Semantic Web

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

AvBoris Villazón-Terrazas,Fernando Ortiz-Rodríguez

Häftad, Engelska, 2020

Del 1232 i serien Communications in Computer and Information Science

572 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the thoroughly refereed proceedings of the Second Iberoamerican Conference, KGSWC 2020, held in Mérida, Mexico, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 15 papers presented were carefully reviewed and selected from 45 submissions. The papers cover research and practices in several fields of AI, such as knowledge representation and reasoning, natural language processing/text mining, machine/deep learning, semantic web, and knowledge graphs.

Produktinformation

Utgivningsdatum:2020-12-10
Mått:155 x 235 x 13 mm
Vikt:353 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:215
Förlag:Springer Nature Switzerland AG
ISBN:9783030653835

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.

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Knowledge Graphs and Semantic Web

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

AvBoris Villazón-Terrazas,Fernando Ortiz-Rodríguez

Häftad, Engelska, 2020

Del 1232 i serien Communications in Computer and Information Science

572 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2020-12-10
Mått:155 x 235 x 13 mm
Vikt:353 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:215
Förlag:Springer Nature Switzerland AG
ISBN:9783030653835

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.