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2nd KGSWC 2020: Mérida, Mexico
- Boris Villazón-Terrazas
, Fernando Ortiz-Rodríguez
Knowledge Graphs and Semantic Web - Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Mérida, Mexico, November 26-27, 2020, Proceedings. Communications in Computer and Information Science 1232, Springer 2020, ISBN 978-3-030-65383-5 - Aaron Eberhart
A Domain Ontology for Task Instructions. 1-13 - Ana B. Ríos-Alvarado, José-Lázaro Martínez-Rodríguez, Tania Yukary Guerrero-Meléndez, Adolfo J. Rodriguez-Rodriguez, David Tomás Vargas-Requena:
Axiomatic Relation Extraction from Text in the Domain of Tourism. 14-28 - Anna Nguyen
Making Neural Networks FAIR. 29-44 - Matthew Wagner
Creating Annotations for Web Ontology Language Ontology Generated from Relational Databases. 45-60 - Ajay Kumar, Kumar Abhishek
Malware Detection Using Machine Learning. 61-71 - Md. Kamruzzaman Sarker
Wikipedia Knowledge Graph for Explainable AI. 72-87 - Jared David Tadeo Guerrero-Sosa
Characterizing the Diffusion of Knowledge in an Academic Community Through the Integration of Heterogeneous Data Sources and Graphs. 88-101 - Sri Nath Dwivedi, Harish Karnick, Renu Jain:
Relation Classification: How Well Do Neural Network Approaches Work? 102-112 - Beyza Yaman, Kevin Thompson, Rob Brennan
Standards Conformance Metrics for Geospatial Linked Data. 113-129 - Amed Leiva-Mederos
An Ontological Model for the Failure Detection in Power Electric Systems. 130-146 - Patience U. Usip, Funebi Francis Ijebu
A Spatiotemporal Knowledge Bank from Rape News Articles for Decision Support. 147-157 - Anand Panchbhai, Tommaso Soru
Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition. 158-165 - Janneth Chicaiza
Using Domain Ontologies for Text Classification. A Use Case to Classify Computer Science Papers. 166-180 - José Eduardo Eguiguren Palacios, Nelson Piedra
Description of Open Data Sets as Semantic Knowledge Graphs to Contribute to Actions Related to the 2030 Agenda and the Sustainable Development Goals. 181-194 - Devottam Gaurav, Shishir K. Shandilya
A Machine Learning Method for Recognizing Invasive Content in Memes. 195-213
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