SPECIAL ISSUE on Top-Level and Middle-Level Ontologies in August 2025.

We are inviting submissions discussing the need and the nature of top-level and middle-level ontologies, describing their development and maintenance, and report outcomes from using or adding top-level or middle-level ontologies to domain representations. 

The full call for papers can be found here (docx)

DEADLINE for paper submission is June 1, 2025.

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The Advances in Knowledge Representation (AKR) is an international forum for peer-reviewed research in knowledge representation. AKR aims to publish original research dedicated to representing information and knowledge about the world in a form that a computer system can use to solve complex tasks, focusing on ontologies. AKR is hosted in the Journal Portal of the Federal University of Minas Gerais using OJS.

Aims and Scope

The Journal welcomes rigorous work of theoretical, empirical, experimental, conceptual, or socio-technical nature in English. AKR is focused on research articles but also accepts in-depth review articles. Special issues in Portuguese will be announced frequently.

Keywords

Knowledge representation, artificial intelligence, ontologies, applied ontology, information science, information technology, computer science, information representation, and information retrieval.

Submissions

Submissions are always open and must follow AKR’s Author Guidelines to ensure our reviewers receive properly formatted and focused manuscripts. See also our template and make a submission

Permanent URL (PURL):

Advances in Knowledge Representation

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An important note about the JOURNAL NAME

The original journal's name was "Frontiers of Knowledge Representation," unfortunately, another journal uses the label "Frontiers of..." in its publication. Then, we maintained our journal's name in the first phase - until 2024, vol.1 - and from 2024, vol.2, the journal was renamed to Advances in Knowledge Representation.
The Editors.

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Vol. 4 No. 2 (2024): Privacidade, Proteção de Dados e Segurança da Informação

Published: 2024-08-01

Possibilidades e Limites da Anonimização de Dados Pessoais

Henrique Cunha Souza Lima, Gabriela Brasil Nascimento Almeida

36-62

Inteligência Artificial e Privacidade

Os desafios do Privacy by Design

Tainã Dias da Silva, Patrícia Martinez Domingues

160-194

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