This paper presents the HLIF2024 competition. HLIF2024 is the first competition for High-Level Information Fusion solutions, co-organized with the FUSION2024 conference. The paper presents the challenge use case associated with the competition: information extraction and fusion from Notices to Air Missions data. The challenge is to automate the processing of this data, in order to support pilots with their decision making tasks during flights. To simulate this, the challenge involves a fictitious flight during which information is requested by the pilot. To provide pertinent information to the pilots, the participants are asked to populate a given domain ontology that can then be queried to answer the challenge questions. The participants solutions are evaluated with regard to the correctness, completeness and preciseness of their answers to the questions. The motivation behind the use case is presented, together with the practice dataset that was built and provided to the competition participants. The evaluation methodology and metrics used to rank the participants solutions are detailed. The results of the competition will be presented at the FUSION2024 conference.