Identification
            Personal identification
- Full name
- Ariele Câmara
Citation names
- Câmara, Ariele
Author identifiers
- Ciência ID
- 9118-BF83-C0E1
- ORCID iD
- 0000-0002-5547-548X
- Researcher Id
- AAH-6369-2020
Websites
- https://www.linkedin.com/ (Professional)
Knowledge fields
- Humanities - History and Archaeology - Archaeology
- Exact Sciences - Computer and Information Sciences - Information Science
Languages
| Language | Speaking | Reading | Writing | Listening | Peer-review | 
|---|---|---|---|---|---|
| Portuguese (Mother tongue) | |||||
| English | Intermediate (B1) | Advanced (C1) | Proficiency (C2) | Proficiency (C2) | Intermediate (B1) | 
Education
            | Degree | Classification | |
|---|---|---|
| 2024 Ongoing | Information Science and Technology (Doutoramento) ISCTE-Instituto Universitário de Lisboa, Portugal | |
| 2015 - 2017 Concluded | Arqueologia e Ambiente (Mestrado) Universidade de Évora, Portugal "A fotointerpretação como recurso de prospeção arqueológica. Chaves para a identificação e interpretação de monumentos megalíticos
                                       no Alentejo: aplicação nos concelhos de Mora e Arraiolos" (THESIS/DISSERTATION) | 17 | 
| 2012 - 2015 Concluded | História e Arqueologia (Licenciatura) Major in Arqueologia Universidade de Évora, Portugal | 14 | 
Affiliation
            Science
| Category Host institution | Employer | |
|---|---|---|
| 2021/10/15 - Current | Researcher (Research) | ISCTE-Instituto Universitário de Lisboa Centro de Investigação em Ciências da Informação Tecnologias e Arquitetura, Portugal | 
| Instituto de Telecomunicações ISCTE-IUL, Portugal | 
Outputs
            Publications
| Conference paper | 
 | 
| Conference poster | 
 | 
| Journal article | 
 | 
| Newspaper article | 
 | 
| Thesis / Dissertation | 
 | 
Activities
            Consulting
| Activity description | Institution / Organization | |
|---|---|---|
| 2019/11 - 2020/02 | R&D activities applied to the use of knowledge-graphs and ontologies to the improvement of machine learning tasks. The research activities included writing detailed scientific reports. It was developed prototypes using knowledge-graphs ontologies to prove the benefits of those two approaches when combined with machine learning. | Paragon Labs OU, Estonia | 
