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Building an Internet-Based Knowledge Ontology for Trademark Protection

Charles V. Trappey, Ai-Che Chang, Amy J. C. Trappey

Source Title: Journal of Global Information Management (JGIM)29(1)

ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781799859000|DOI: 10.4018/JGIM.2021010107

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MLA

Trappey, Charles V., et al. "Building an Internet-Based Knowledge Ontology for Trademark Protection." JGIM vol.29, no.1 2021: pp.123-144. http://doi.org/10.4018/JGIM.2021010107

APA

Trappey, C. V., Chang, A., & Trappey, A. J. (2021). Building an Internet-Based Knowledge Ontology for Trademark Protection. Journal of Global Information Management (JGIM), 29(1), 123-144. http://doi.org/10.4018/JGIM.2021010107

Chicago

Trappey, Charles V., Ai-Che Chang, and Amy J. C. Trappey. "Building an Internet-Based Knowledge Ontology for Trademark Protection," Journal of Global Information Management (JGIM) 29, no.1: 123-144. http://doi.org/10.4018/JGIM.2021010107

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Abstract

Global online sales for products, where many are substantially identical or deceptively similar, are the cause of a growing number of trademark (TM) infringement lawsuits. This research proposes an intelligent trademark legal precedent recommendation system to assist trademark owners to find relevant past cases, laws, and judgments to form legal arguments to defend against infringement. Judicial precedent and applicable laws from the USA are used to construct an ontology of trademark litigation knowledge. The ontology is used to analyze potential infringement cases with similar laws and precedents used to resolve previous legal disputes. The analysis provides a basis for proceeding with legal action necessary to protect a company's brand equity when arguing potential trademark infringement. Using the Python programming language, the precedent-based recommendation system provides a means for continuously updating trademark case data and assists TM owners to quickly identify similar cases to support infringement allegations.