Call for Papers

All submissions will be reviewed by at least three program Committee members. The submissions will be judged on originality, relevance, technical quality and presentation. SIMBig is one of the first conferences grouping related areas such as Data Science, Big Data, NLP and Semantic Web, etc, in Latin America. We would like to thank you in advance for your scientific contribution to the 6th SIMBig and look forward to having the opportunity to showcase and disseminate your research.

Scope and Topics

Authors are invited to submit original and innovative papers that break new ground, present insightful results based on your experience in Data Science. SIMBig 2020 has a broad scope, and specific topics of interest include (but are not limited to):

Data Science
Big Data
Data Mining
Natural Language Processing
Semantic Web
Bio NLP, Healthcare Informatics
Text Mining
Information Retrieval
Machine Learning
Ontologies, Knowledge Representation, Linked Open Data
Social Networks, Social Web, and Web Science
Information visualization
OLAP, Data warehousing, Business intelligence
Spatiotemporal Data
Agent-based Systems
Constraints, Satisfiability, and Search

Long Papers

Long Papers are limited to a total of 14 (fourteen) pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Short Papers

Short Papers are limited to a total of 7 (seven) pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Demostrations

Demonstration Papers are limited to a total of 7 (seven) pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Paper Submission Guidelines

All research submissions must be in English.
Submissions must be in PDF, formatted with the Springer Publications format. For details on the Springer style, see here.

LATEX

MICROSOFT WORD