1、Data acquisition using AI for AIXM 5.1.1April 23,2025Maxime Jumelle-Blent.aiJean-Michel Varon-DSNAFLY AI Forum1-Context of the study1.1-FROM AIS to AIMAeronautical Information Service(AIS)was historically based on provision of HTML or PDF documents(AIP and Charts)and conventionalNOTAM.Documents esta
2、blished with help of database.Complete enough to generate docs but not enough to provide added value services based ondata.Provision of added value services to stakeholders requires to enlarge the scope and volume of data.CP1 regulation gives a regulatory frame andEuropean AIS Database a recipient1-
3、Context of the study1.2-FRENCH AIS DATA GAPPresent French database exported to EAD embedded in AIXM(Aeronautical Information Exchange Model)4.5 contains a volume of approximately 22 000 data.Goal of data completeness to comply CP1 requirements would raise this volume to 1 000 000 data(multiplied by
4、50).Time and HR to reach this goal by the end of 2025 enormous.May AI help us?2-Our methodology for data acquisition2.1-Overview of our methodologyIn order to best support the SIA in this project,the solution we are developing aims to build a set of software scripts that can recognize theinformation
5、 contained in different data sources and encode it in the AIXM 5.1 format.Set of AI modelsWeb pages(eAIP)PDF filesWord filesStructured data(XML,CSV)Data sourcesAIXM 5.1.1 databaseSchematic operation of our solutionThe main benefit of this methodology is its reusability,allowing encoding to be trigge
6、red again when the raw data is updated.2-Our methodology for data acquisition2.2-Identification of information through Artificial IntelligenceOne of the most important aspects of implementing the functional solution is the recognition and identification of information contained inunstructured data(p