Information, Data and Technology
Guilherme Ataíde Dias
Federal University of Paraíba (UFPB) | guilhermeataide@ccsa.ufpb.br | https://orcid.org/0000-0001-6576-0017 | https://lattes.cnpq.br/9553707435669429
Undergraduate in Computer Science from the Federal University of Paraíba UFPB Campus II (1990), Bachelor in Law by the University Center of João Pessoa UNIPE (2010), Master in Organization & Management by Central Connecticut State University? CCSU (1995), PhD in Information Science (Communication Sciences) at the University of São Paulo? USP (2003) and Post-Doctor by UNESP (2011). He is currently Associate Professor III at the Federal University of Paraíba, where he holds a degree in Information Science. He is involved with Post-Graduation through the Post-Graduate Program in Information Science and Postgraduate Program in Administration, both of UFPB. Has research interest in the following themes: Knowledge Representation; Information Architecture; Information security; Information and Communication Technologies; Health Information; Social networks; Free software; Law, Ethics and Intellectual Property in Cyberspace; Scientific Data Management; Legal Information; He is currently Research Productivity Scholar (PQ) at CNPq.
Moisés Lima Dutra
Federal University of Santa Catarina (UFSC) | moises.dutra@ufsc.br | https://orcid.org/0000-0003-1000-5553 | https://lattes.cnpq.br/1973469817655034
Professor, Federal University of Santa Catarina, Department of Information Science. PhD in Computing from the University of Lyon 1, France (2009). Master in Electrical Engineering, subarea Automação e Sistemas (2005) and Bachelor in Computing (1998) from the Federal University of Santa Catarina. His current lines of research are related to Applied Artificial Intelligence (Machine Learning, Deep Learning, Semantic Web, Linked Data) and Data Science (Big Data, IoT). It is linked to the research group ITI-RG (Intelligence, Technology and Information - Research Group).
Fábio Mosso Moreira
São Paulo State University (UNESP) | fabio.moreira@unesp.br | https://orcid.org/0000-0002-9582-4218 | https://lattes.cnpq.br/1614493890723021
Undergraduate degree in Business Administration from the Faculty of Sciences and Engineering (UNESP / Tupã). Master degree in Information Science - (UNESP / Marília). PhD student in the Graduate Program in Information Science (UNESP / Marília). Member of the Research Group - GPNTI (UNESP / Marília) and GPTAD (UNESP / Tupã). Collaborator of the Project Digital Skills for Family Farming (CoDAF). Content editor of the Electronic Journal Digital Skills for Family Farming (RECoDAF). Professional Technical Skill in Informatics from ETEC Massuyuki Kawano - Centro Paula Souza de Tupã. Professional experience in the ERP Information Systems for Logistics Operations. Works with research in Information Science, studying the use of digital resources for access to government data of Public Policies in the context of the small farmer.
Fernando de Assis Rodrigues
Federal University of Pará (UFPA) | fernando@rodrigues.pro.br | https://orcid.org/0000-0001-9634-1202 | https://lattes.cnpq.br/5556499513805582
Professor at Federal University of Pará. Ph.D. and M.S. in Information Science, Post-bachelor in Internet Systems and Bachelor of Science in Information Systems. Most of his experience is based on works developed as a Full Stack Developer and Database administrator, especially with Python, Java and PHP programming languages, as well as MySQL, MariaDB, SQLite3 and PostgreSQL databases. Also, he lectured classes related to the context of Computer Science to undergraduate and graduate students at UNESP. Currently, He workd as a postdoc researcher at UNESP labs, working in data studies.
Ricardo César Gonçalves Sant'Ana
São Paulo State University (UNESP) | ricardo.santana@unesp.br | https://orcid.org/0000-0003-1387-4519 | https://lattes.cnpq.br/1022660730972320
Associate Professor at the Paulista State University - UNESP, Faculty of Sciences and Engineering - FCE, Campus de Tupã, on an exclusive dedication, where he is Chairman of the Monitoring and Evaluation Committee of the Graduate Courses - CAACG, Local Coordinator of the Center for Studies and Pedagogical Practices - CENEPP and Local Ombudsman. Professor of the Post-Graduate Program in Information Science of the Paulista State University, Marília Campus. Graduated in Mathematics and Pedagogy, Master in Information Science (2002), Doctorate in Information Science (2008) and Freelance in Management Information Systems by UNESP (2017). He has specialized in Object Orientation (1996) and Management of Information Systems (1998). Ad hoc advisor of periodicals and development agencies. Member of the Research Group - New Technologies in Information GPNTI-UNESP. Has experience in the area of ??Computer Science, currently conducts research focused on: information science and information technology, investigating issues related to the Data Life Cycle, Transparency and Information Flow in Productive Chains. He worked as a professor at Faccat Faculdade de Ciências Contábeis e Administração de Tupã, where he coordinated a course of Administration with Qualification in Systems Analysis for ten years and the course of Licenciatura in Computing. He worked in the private sector as a consultant, integrator and researcher of new information technologies from 1988 to 2004.
Organizators
Guilherme Ataíde Dias
Federal University of Paraíba (UFPB) | guilhermeataide@ccsa.ufpb.br | https://orcid.org/0000-0001-6576-0017 | https://lattes.cnpq.br/9553707435669429
Undergraduate in Computer Science from the Federal University of Paraíba UFPB Campus II (1990), Bachelor in Law by the University Center of João Pessoa UNIPE (2010), Master in Organization & Management by Central Connecticut State University? CCSU (1995), PhD in Information Science (Communication Sciences) at the University of São Paulo? USP (2003) and Post-Doctor by UNESP (2011). He is currently Associate Professor III at the Federal University of Paraíba, where he holds a degree in Information Science. He is involved with Post-Graduation through the Post-Graduate Program in Information Science and Postgraduate Program in Administration, both of UFPB. Has research interest in the following themes: Knowledge Representation; Information Architecture; Information security; Information and Communication Technologies; Health Information; Social networks; Free software; Law, Ethics and Intellectual Property in Cyberspace; Scientific Data Management; Legal Information; He is currently Research Productivity Scholar (PQ) at CNPq.
Moisés Lima Dutra
Federal University of Santa Catarina (UFSC) | moises.dutra@ufsc.br | https://orcid.org/0000-0003-1000-5553 | https://lattes.cnpq.br/1973469817655034
Professor, Federal University of Santa Catarina, Department of Information Science. PhD in Computing from the University of Lyon 1, France (2009). Master in Electrical Engineering, subarea Automação e Sistemas (2005) and Bachelor in Computing (1998) from the Federal University of Santa Catarina. His current lines of research are related to Applied Artificial Intelligence (Machine Learning, Deep Learning, Semantic Web, Linked Data) and Data Science (Big Data, IoT). It is linked to the research group ITI-RG (Intelligence, Technology and Information - Research Group).
Fábio Mosso Moreira
São Paulo State University (UNESP) | fabio.moreira@unesp.br | https://orcid.org/0000-0002-9582-4218 | https://lattes.cnpq.br/1614493890723021
Undergraduate degree in Business Administration from the Faculty of Sciences and Engineering (UNESP / Tupã). Master degree in Information Science - (UNESP / Marília). PhD student in the Graduate Program in Information Science (UNESP / Marília). Member of the Research Group - GPNTI (UNESP / Marília) and GPTAD (UNESP / Tupã). Collaborator of the Project Digital Skills for Family Farming (CoDAF). Content editor of the Electronic Journal Digital Skills for Family Farming (RECoDAF). Professional Technical Skill in Informatics from ETEC Massuyuki Kawano - Centro Paula Souza de Tupã. Professional experience in the ERP Information Systems for Logistics Operations. Works with research in Information Science, studying the use of digital resources for access to government data of Public Policies in the context of the small farmer.
Fernando de Assis Rodrigues
Federal University of Pará (UFPA) | fernando@rodrigues.pro.br | https://orcid.org/0000-0001-9634-1202 | https://lattes.cnpq.br/5556499513805582
Professor at Federal University of Pará. Ph.D. and M.S. in Information Science, Post-bachelor in Internet Systems and Bachelor of Science in Information Systems. Most of his experience is based on works developed as a Full Stack Developer and Database administrator, especially with Python, Java and PHP programming languages, as well as MySQL, MariaDB, SQLite3 and PostgreSQL databases. Also, he lectured classes related to the context of Computer Science to undergraduate and graduate students at UNESP. Currently, He workd as a postdoc researcher at UNESP labs, working in data studies.
Ricardo César Gonçalves Sant'Ana
São Paulo State University (UNESP) | ricardo.santana@unesp.br | https://orcid.org/0000-0003-1387-4519 | https://lattes.cnpq.br/1022660730972320
Associate Professor at the Paulista State University - UNESP, Faculty of Sciences and Engineering - FCE, Campus de Tupã, on an exclusive dedication, where he is Chairman of the Monitoring and Evaluation Committee of the Graduate Courses - CAACG, Local Coordinator of the Center for Studies and Pedagogical Practices - CENEPP and Local Ombudsman. Professor of the Post-Graduate Program in Information Science of the Paulista State University, Marília Campus. Graduated in Mathematics and Pedagogy, Master in Information Science (2002), Doctorate in Information Science (2008) and Freelance in Management Information Systems by UNESP (2017). He has specialized in Object Orientation (1996) and Management of Information Systems (1998). Ad hoc advisor of periodicals and development agencies. Member of the Research Group - New Technologies in Information GPNTI-UNESP. Has experience in the area of ??Computer Science, currently conducts research focused on: information science and information technology, investigating issues related to the Data Life Cycle, Transparency and Information Flow in Productive Chains. He worked as a professor at Faccat Faculdade de Ciências Contábeis e Administração de Tupã, where he coordinated a course of Administration with Qualification in Systems Analysis for ten years and the course of Licenciatura in Computing. He worked in the private sector as a consultant, integrator and researcher of new information technologies from 1988 to 2004.
Data Science based on Aristotelian Common Sense Science: a comparative analysis with the robotics technology
Pages: 513 - 526
Authors
Marcello Mundim Rodrigues
Federal University of Minas Gerais (UFMG) | marcellomundim@ufu.br | https://orcid.org/0000-0001-7945-6673 | https://lattes.cnpq.br/7319023790210705
Master student at the Graduate Program in Management and Knowledge Organization of the School of Information Science of the Federal University of Minas Gerais (UFMG), 2018-2020. Graduate in Librarianship by the Federal University of Minas Gerais (UFMG) in 2012. Post-Graduate in Librarianship with a focus on Knowledge Management at Signorelli International Faculty in 2014. He is currently a Librarian in the Cataloging, Classification and Indexing Sector of the Federal University of Uberlândia (UFU); member of the Working Group (GT) Printed Books (2014-), and secretary of the Brazilian Committee for the Development of Collections (CBDC / CBBU-FEBAB). Has experience as Cataloging Librarian, Classification and Indexing, Selection and Acquisition, Reference and Information Unit Manager. He also worked as an English Language Teacher (2008-13) in language schools in the city of Belo Horizonte. He has done two exchanges in the United States and has interned in companies: YMCA, located in Davis / Oklahoma; and Walt Disney World Resorts, located in Orlando / Florida. Natural of Brasília. Year of birth: 1985.
Tereza Cristina Fernees
Federal University of Minas Gerais (UFMG) | terezacristinafernandes@gmail.com | https://lattes.cnpq.br/7232491498080272
Master in Information Science, in the line of research Architecture and Organization of Knowledge by UFMG. Graduation in Librarianship by the Federal University of Minas Gerais (2005). Worked as Chief Librarian in the sector Editorial Archive in the company - Semper Editora (O Tempo newspaper) - Grupo Sada. Has experience in the area of Information Science focused on the creation of projects in the scope of Information Architecture for Document Information Retrieval Systems; construction and maintenance of thematic taxonomy in news stories; extraction and indexing of named entities; maintenance and information conferencing of Electronic Document Management; thematic journalistic researches structured in dossiers; practice of indexing photographic images and journalistic texts; faceted classification in photographic and textual documents; conversion and migration of digital documents; evaluation and strategic participation for selection of Recovery System software; coordination, training and training of employees; training of users using manuals; creation, planning and document management of Grupo Sada's Corporate Memory; creation, planning, reading incentive and documentary management of the Library Semper Publishing; restructuring planning and physical expansion of the work environment.
Resumo
Compara a percepção da compreensão aristotélica aplicáveis à Ciência de Dados, com objetivo de buscar uma fundamentação teórica filosófica a esta disciplina emergente. Apoia-se em duas metodologias: (a) a revisão bibliográfica - nas contribuições dos estudos críticos pertinentes à filosofia aristotélica da experimentação do senso comum e; (b) na análise de conteúdo – pela capacidade de inferência e dedução da compreensão. Argumenta-se a partir da análise dos três níveis de pensamento observado por Aristóteles, sob os seguintes aspectos: (1) os sentidos e as sensações são os dados que a mente recebe; (2) as ideias são os dados que a mente produz e; (3) o pensamento produz conhecimento relacionando as ideias, juntando-as, separando-as e confrontando-as, formado pela capacidade de cognição em busca da razão. Como resultado comparativo, encontra similaridades com as tecnologias atuais, que captam dados do ambiente, utilizando instrumentos que imitam capacidades sensoriais do raciocínio humano, bem como a compreensão desses dados. Finalmente, considera a necessidade de identificar as raízes dos pressupostos teóricos filosóficos, a fim de consolidar a Ciência de Dados e despertar para a produção de novos conhecimentos.
Palavras-chave: Ciência de dados. Filosofia. Tecnologia sensorial.
Abstract
The study compares the perception of the aristotelian comprehension applicable to Data Science, with objective of seeking theoretical and philosophical grounds to this emergent subject. The research bases itself on two methods: (a) literature review – on the contributions of the critical studies relevant to the aristotelian philosophy of the common sense experimentation and; (b) content analysis – for its inference capability and comprehension deduction. It argues from the three levels of thinking observed by Aristotle, under the following aspects: (1) senses and feelings are data that the mind receives; (2) ideas are data that the mind produces and; (3) thinking produces knowledge that relate ideas, combining, splitting and confronting them, in which is created by the cognition capability in search of reason. As a comparative result, it finds similarities with the current technologies, which captures data from the environment, using instruments that imitate human reasoning sensory abilities, as well as data comprehension. At last, it considers the need for identifying the roots of the theoretical and philosophical assumptions, in order to consolidate Data Science and awaken for the production of new knowledge.
Keywords: Data science. Philosophy. Sensory technology.
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