4 papers
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
Raphael Thiago, Renan Souza, L. Azevedo +7
Machine Learning (ML) has increased its role, becoming essential in several industries. However, questions around training data lineage, such as "where has the dataset used to trai…
Bridging the Gap between Semantics and Multimedia Processing
Marcio Ferreira Moreno, Guilherme Lima, Rodrigo Costa Mesquita Santos +2
In this paper, we give an overview of the semantic gap problem in multimedia and discuss how machine learning and symbolic AI can be combined to narrow this gap. We describe the ga…
Multimedia Search and Temporal Reasoning
Marcio Ferreira Moreno, Rodrigo Costa Mesquita Santos, Wallas Henrique Sousa dos Santos +2
Properly modelling dynamic information that changes over time still is an open issue. Most modern knowledge bases are unable to represent relationships that are valid only during a…
General Fragment Model for Information Artifacts
Sandro Rama Fiorini, Wallas Sousa dos Santos, Rodrigo Costa Mesquita +2
The use of semantic descriptions in data intensive domains require a systematic model for linking semantic descriptions with their manifestations in fragments of heterogeneous info…