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However, the complexity of IP rights and their legal frameworks across different jurisdictions poses challenges for standardization and interoperability. Ontologies have emerged as a powerful tool to address these challenges. This study, through a literature review, aims to identify and analyze existing ontologies in the IP domain, evaluating the predominance of researchers\/groups, application contexts, legal frameworks, upper-level ontologies, conceptual coverage, representation languages, and adopted formalisms. The analysis reveals core conceptual elements, including IP rights, agents, events, conditions, agreements, and works of mind, which define the dynamics of IP life cycles. We identified a greater focus of the existing ontologies on Copyright when contrasted with aspects of Industrial Property. More ontologies addressed general legal frameworks rather than country-specific regulations. Additionally, the development of IP ontologies remains concentrated in a limited number of countries and research groups, indicating the need for broader collaboration. Many ontologies prioritize implementation aspects over conceptual clarity, potentially affecting interoperability. Despite these challenges, IP ontologies play a crucial role in supporting standardization, legal compliance, and data integration. The findings emphasize, among others, the importance of refining conceptual models, promoting harmonization to enhance semantic interoperability.<\/jats:p>","DOI":"10.1177\/15705838261421489","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T17:16:51Z","timestamp":1773767811000},"page":"49-77","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Analysis of Ontologies for the Intellectual Property Domain"],"prefix":"10.1177","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0644-2624","authenticated-orcid":false,"given":"Julio Cesar","family":"Nardi","sequence":"first","affiliation":[{"name":"Federal Institute of Esp\u00edrito Santo (IFES) \u2013 Campus Colatina"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6225-9478","authenticated-orcid":false,"given":"Monalessa P","family":"Barcellos","sequence":"additional","affiliation":[{"name":"Ontology and Conceptual Modeling Research Group (NEMO), Computer Science Department, Federal University of Esp\u00edrito Santo (UFES), Esp\u00edrito Santo, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9819-3781","authenticated-orcid":false,"given":"Jo\u00e3o Paulo A","family":"Almeida","sequence":"additional","affiliation":[{"name":"Ontology and Conceptual Modeling Research Group (NEMO), Computer Science Department, Federal University of Esp\u00edrito Santo (UFES), Esp\u00edrito Santo, Brazil"}]}],"member":"179","published-online":{"date-parts":[[2026,3,17]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.wpi.2018.07.002"},{"key":"e_1_3_4_3_1","first-page":"1","article-title":"BIGOWL4DQ: Ontology-driven approach for big data quality meta-modelling, selection and reasoning","volume":"167","author":"Barba-Gonz\u00e1lez C.","year":"2024","unstructured":"Barba-Gonz\u00e1lez C., Caballero I., Varela-Vaca \u00c1. 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