Egészségügyi informatikai adatbázisban való szöveges keresés mesterséges intelligenciával támogatott szemantikus keresővel

Béla Lóránt Kovács; Neumann Technology Kft.

NETWORKSHOP

NETWORKSHOP

2019-12-23 08:27:20

Text search in a health database with a semantic search engine supported byartificial intelligenceMy purpose is to present a search engine which can process large documents- even books- in the query and search in the medical database based on them. The process works without metadata, so it is enough to upload the search text to the database once, the application executes all the rest of the operations. Searching methods are supported by algorithms based on semantical modeling of natural languages, working in any language. Namely, the algorithm learns languages from the databases. However, the search engine is not only capable of conducting semantic searches but define topics by texts that can be monitored automatically by the program. This process is supported by an artificial intelligence what is suitable for determining semantical groups in one hand, on the other hand, it is learning from the database expansion and user behavior – based on which it can improve the hits, - at the same time, it does not collect any data about the user himself, thus complying with the strictest European data protection rules. I intend to present my description through practical examples demonstrating the innovations that make it unique. At the end, I would like to show in detail what measurable performance the software has and how it differs from other search engines.https://doi.org/10.31915/NWS.2019.10

magyar

Peer-reviewed Paper

application/pdf

http://ocs.mtak.hu/index.php/nws/2019/paper/view/27

NETWORKSHOP; NETWORKSHOP 2019

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