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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Kátia Cinara Tregnago Cunha, Costa, C., Cristina Dai Prá Martens & Carla Bonato Marcolin (2026). Recovery of Technical Intelligence from Portuguese-Language Patents: Construction of an Ontology Based on the Theory of Inventive Problem Solving (TRIZ). In Emerging Trends in Information Systems and Technologies. WorldCIST 2025. Lecture Notes in Networks and Systems. (pp. 219-230).
Exportar Referência (IEEE) 
K. C. Cunha et al.,  "Recovery of Technical Intelligence from Portuguese-Language Patents: Construction of an Ontology Based on the Theory of Inventive Problem Solving (TRIZ)", in Emerging Trends in Information Systems and Technologies. WorldCIST 2025. Lecture Notes in Networks and Systems, 2026, pp. 219-230
Exportar BibTeX 
@incollection{cunha2026_1765007183285,
	author = "Kátia Cinara Tregnago Cunha and Costa, C. and Cristina Dai Prá Martens and Carla Bonato Marcolin",
	title = "Recovery of Technical Intelligence from Portuguese-Language Patents: Construction of an Ontology Based on the Theory of Inventive Problem Solving (TRIZ)",
	chapter = "",
	booktitle = "Emerging Trends in Information Systems and Technologies. WorldCIST 2025. Lecture Notes in Networks and Systems",
	year = "2026",
	volume = "",
	series = "",
	edition = "",
	pages = "219-219",
	publisher = "",
	address = ""
}
Exportar RIS 
TY  - CHAP
TI  - Recovery of Technical Intelligence from Portuguese-Language Patents: Construction of an Ontology Based on the Theory of Inventive Problem Solving (TRIZ)
T2  - Emerging Trends in Information Systems and Technologies. WorldCIST 2025. Lecture Notes in Networks and Systems
AU  - Kátia Cinara Tregnago Cunha
AU  - Costa, C.
AU  - Cristina Dai Prá Martens
AU  - Carla Bonato Marcolin
PY  - 2026
SP  - 219-230
SN  - 2367-3370
DO  - 10.1007/978-3-031-97799-2_19
AB  - Patents are a valuable source of technical intelligence, offering a wealth of knowledge that remains underutilized in academia, business, and industry—fields where such information could yield significant benefits. Expanding access to patent databases can provide cutting-edge insights across various technological domains. In the field of computational linguistics, the ontology of the Theory of Inventive Problem Solving (TRIZ), derived from extensive patent analyses, presents a significant opportunity to advance text mining for patents written in Portuguese. This study aims to develop an ontology based on concepts extracted from engineering and scientific knowledge, encompassing pure and applied physical effects, which can suggest potential generic solutions. The proposed semantic network of terms, originating from the patent domain, seeks to enhance the retrieval of technical intelligence embedded in patent documents. Classified as applied research of an exploratory nature, this work introduces an ontology with hierarchically organized and interrelated terms in Portuguese. It establishes a lexical and semantic bridge to enable the application of computational tools for extracting technical intelligence from Portuguese-language patents, an area that remains underexplored in text mining.
ER  -