Enhancing Common Criteria Certificate Analysis with Semantic Segment Search – Bc. Dominik Macko
Bc. Dominik Macko
Master's thesis
Enhancing Common Criteria Certificate Analysis with Semantic Segment Search
Enhancing Common Criteria Certificate Analysis with Semantic Segment Search
Abstract:
Táto diplomová práca skúma realizovateľnosť použitia sémantického vyhľadávania v PDF dokumentoch pre certifikáty Common Criteria (CC). Štúdia sa zameriava na oblasť certifikácie, s dôrazom na Common Criteria, skúma metódy pre analýzu PDF súborov a popisuje relevantné techniky spracovania prirodzeného jazyka, pričom kladie dôraz na vyhľadávanie informácií a stručne spomína rozšírenú možnosť odpovedanie …moreAbstract:
This thesis explores the feasibility of using semantic search within PDF artifacts for Common Criteria (CC) certificates. The study examines the certification landscape, focusing on Common Criteria, investigates methods for parsing PDF files, and describes relevant NLP techniques, emphasizing Information Retrieval and briefly mentioning Question Answering as an extension. For experiments, coherent …more
Language used: English
Date on which the thesis was submitted / produced: 27. 5. 2024
Identifier:
https://is.muni.cz/th/k87j7/
Thesis defence
- Date of defence: 19. 6. 2024
- Supervisor: RNDr. Adam Janovský
- Reader: RNDr. Miloš Jakubíček, Ph.D.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence
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