KGSWC

Second Iberoamerican Knowledge Graphs and Semantic Web Conference

Co host

(KGSWC-India 2020)

First Indo-American Knowledge Graph and Semantic Web Conference

November 26th – 27th 2020

Mérida, Yucatán Online

News about the conference
Last year KGSWC conference has been held in-person. This year, KGSWC committee is really concerned about the current health issues related to COVID-19 coronavirus disease and your safety is our priority. Despite the difficult moment that we are all facing, we are fully committed to continuing the task of promoting the cooperation and exchange of this event among institutions all over the world. For this reason, this year, KGSWC event exceptionally contemplates the option to carry out the conference in a fully virtual format.

REGISTER SOON

The second edition of the conference KGSWC 2020, will take place in Merida, Yucatan. Mexico. July 2020. The goals of the conference are (i) to provide a forum for the Semantic Web, Knowledge Graphs and Artificial Intelligence community, bringing together researchers and practitioners in industry to share ideas about R&D projects and (ii) to increase the adoption of the Semantic Web, Knowledge Graphs, Artificial Intelligence technologies in the region.

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Add to My Calendar 2020-07-28 09:00:00 2020-07-31 18:00:00 America/Monterrey KGSWC The Iberoamerican Knowledge Graph and Semantic Web Conference is an international scientific conference series devoted to knowledge graph and semantic web research. Mérida, Yucatán kgswc info@kgswc.org

OUR KEYNOTE SPEAKERS

Prof. Dr. Amit Sheth

from Artificial Intelligence Institute and Professor, Computer Science & Engineering

Prof. Dr. Sören Auer

from Leibniz Information Centre for Science and Technology University Library

Prof. Dr. Pascal Hitzler

from Kansas State University

Dr. Juan F. Sequeda

from data.world

Conference Schedule

November 26,2020

9:00 am to 9:50 am

Opening Ceremony

Dr. Sanju Tiwari

Dr. Boris Villazón Terrazas

Dr. Shishir K Shandilya

Dr. Fernando Ortiz-Rodríguez

Keynote Speakers

10:00 am to 10:50 am	Dr. Juan F. Sequeda
	The Socio-Technical Phenomena of Data Integration and Knowledge Graph

11:00 am to 11:50	Dr. Pascal Hitzler
	*Neural-Symbolic Reasoning over Knowledge Graphs*

Main Conference – day one

12:00 pm to 12:40 pm	*-Break- Cultural Event* *History of Mariachi, and Mariachi performance (*Video)
12:40 pm to 1:00 pm	A Domain Ontology for Task Instructions Aaron Eberhart, Cogan Shimizu, Christopher Stevens, Pascal Hitzler, Chris Meyers and Benji Maruyama.
1:00 pm to 1:20 pm	Making Neural Networks FAIR Anna Nguyen, Tobias Weller, Michael Färber, and York Sure-Vetter.
1:20 pm to 1:40 pm	Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition Anand Panchbhai, Tommaso Soru, and Edgard Marx.
1:40 pm to 2:00 pm	Axiomatic relation extraction from text in the domain of Tourism Ana B. Rios-Alvarado, Jose L. Martinez-Rodriguez, Tania Y. Guerrero-Melendez, Adolfo J. Rodriguez-Rodriguez and David T. Vargas-Requena.
2:00 pm to 2:30 pm	*-Break- Cultural Event* *Yucatan, Tamaulipas (Video)*
2:30 pm to 2:50 pm	Using Domain Ontologies for Text Classification. A Use Case to Classify Computer Science Papers Janneth Chicaiza and Ruth Reátegui.
2:50 pm to 3:10 pm	Creating Annotations for Web Ontology Language Ontology Generated From Relational Databases Matthew Wagner and Dalia Varanka.
3:10 pm to 3:30 pm	Characterizing the Diffusion of Knowledge in an Academic Community Through the Integration of Heterogeneous Data Sources and Graphs Jared D.T. Guerrero-Sosa and Victor Hugo Menéndez-Domínguez.
3:30 pm to 3:50 pm	An Ontological Model for the Failure Detection in Power Electric Systems Amed Abel Leiva Mederos, Doymer Garcı́a-Duarte, Daniel Galvez Lio, Yusniel Hidalgo-Delgado and José Antonio Senso Ruı́z.

3:50 pm to 4:00 pm	Closing Day One

November 27, 2020

8:50 am to 9:00 am

Opening day two

Keynote Speakers

9:00 am to 9;50 am	Dr. Soren Aurer
	Knowledge Graphs for Scholarly Communication

10:00 am to 10:50	Dr. Amit Sheth
	Semantics of the Black-Box: Using knowledge-infused learning approach to make AI systems more interpretable and explainable

Main Conference – day two

11:00 am to 11:30 pm	*-Break- Cultural Event* *India Performance* (Video) (Performances with Harmonium and Guitar by Saransh Tiwari and Aryan Ahuja)
11:30 pm to 11:50 pm	Malware Detection using Machine Learning Ajay Kumar, Kumar Abhishek, Kunjal Shah, Divy Patel, Yash Jain, Harsh Chheda, and Pranav Nerurkar.
11:50 pm to 12:10 pm	Relation Classification: How well do Neural Network Approaches Work? Sri Nath Dwivedi, Harish Karnick, and Renu Jain.
12:30 pm to 12:50 pm	A Machine Learning Method for Recognizing Invasive Content in Memes Devottam Gaurav, Shishir Shandilya, Sanju Tiwari, and Ayush Goyal.
12:50 pm to 1:10 pm	A Spatiotemporal Knowledge Bank from Rape News Articles for Decision Support Patience Usip, Funebi Ijebu and Emmanuel Dan.
1:10 pm to 1:30 pm	*-Break- Cultural Event* *India Performance* (By Sarah Sravya)
1:30 pm to 1:50 pm	Standards Conformance Metrics for Geospatial Linked Data Beyza Yaman, Kevin Thompson, and Rob Brennan.
1:50 pm to 2:10 pm	Description of Open Data Sets as Semantic Knowledge Graphs to contribute to actions related to the 2030 Agenda and the Sustainable Development Goals José Eguiguren and Nelson Piedra.
2:10 pm to 2:30 pm	Wikipedia Knowledge Graph for Explainable AI Md Kamruzzaman Sarker, Joshua Schwartz, Pascal Hitzler, Lu Zhou, Srikanth Nadella, Brandon Minnery, Ion Juvina, Michael L. Raymer and William R. Aue.
2:30 pm to 2:40 pm	Closing Main Conferences