témavezető: Villányi Balázs János
helyszín (magyar oldal): Department of Electronics Technology helyszín rövidítés: ETT
A kutatási téma leírása:
"Enterprise Information Systems (EIS) are more and more important in the corporate world, thus their reliable and efficient operation is a key issue. These systems incorporate a wide scale information techniques, their integration to provide unified services is a quintessential part of the efficient operation. Enterprise Application Integration (EAI) is the framework to support this endeavor and provides techniques to this end.
Also, there are other means to integrate enterprise systems. Schema Matching (SM) enables the establishment of semantic correspondence among the data of heterogeneous Enterprise Information Systems (EIS). There have been several viable schema matching propositions, but still their matching accuracy can be further improved.
This PhD research topic includes, but not limited to the following research tasks:
• Performance evaluation and improvement of EAI approaches
• Development of novel EAI techniques
• Investigate and improve existing SM algorithms
• Develop new SM techniques
• Apply Machine Learning (ML) to SM approaches
• Apply Fuzzy Logic to SM approaches
• Create research evaluation environment for EAI and SM solutions
The developed techniques should be implemented by potentially using the available industrial standards, open source solutions and shall be validated in several test scenarios."
előírt nyelvtudás: English felvehető hallgatók száma: 1
Jelentkezési határidő: 2021-09-01
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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