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Conflicting Marks Archive Dataset: A Dataset of Conflicting Marks from the Brazilian Intellectual Property Office

Author

Listed:
  • Igor Bezerra Reis

    (Postgraduate Program in Computer Science, Federal University of Maranhão, São Luís 65085-580, Brazil)

  • Rafael Ângelo Santos Leite

    (Federal Institute of Piauí, Floriano 64808-475, Brazil)

  • Mateus Miranda Torres

    (Federal Institute of Piauí, Floriano 64808-475, Brazil)

  • Alcides Gonçalves da Silva Neto

    (Federal Institute of Piauí, Floriano 64808-475, Brazil)

  • Francisco José da Silva e Silva

    (Postgraduate Program in Computer Science, Federal University of Maranhão, São Luís 65085-580, Brazil)

  • Ariel Soares Teles

    (Postgraduate Program in Computer Science, Federal University of Maranhão, São Luís 65085-580, Brazil
    Federal Institute of Maranhão, Araioses 65570-000, Brazil)

Abstract

A registered trademark represents one of a company’s most valuable intellectual assets, acting as a safeguard against possible reputational damage and financial losses resulting from infringements of this intellectual property. To be registered, a mark must be unique and distinctive in relation to other trademarks which are already registered. In this paper, we describe the CMAD, an acronym for Conflicting Marks Archive Dataset. This dataset has been meticulously organized into pairs of marks (Number of pairs = 18,355) involved in copyright infringement across word, figurative and mixed marks. Organizations sought to register these marks with the National Institute of Industrial Property (INPI) in Brazil, and had their applications denied after analysis by intellectual property specialists. The robustness of this dataset is ensured by the intrinsic similarity of the conflicting marks, since the decisions were made by INPI specialists. This characteristic provides a reliable basis for the development and testing of tools designed to analyze similarity between marks, thus contributing to the evolution of practices and computer-based solutions in the field of intellectual property.

Suggested Citation

  • Igor Bezerra Reis & Rafael Ângelo Santos Leite & Mateus Miranda Torres & Alcides Gonçalves da Silva Neto & Francisco José da Silva e Silva & Ariel Soares Teles, 2024. "Conflicting Marks Archive Dataset: A Dataset of Conflicting Marks from the Brazilian Intellectual Property Office," Data, MDPI, vol. 9(2), pages 1-12, February.
  • Handle: RePEc:gam:jdataj:v:9:y:2024:i:2:p:33-:d:1336807
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