@inproceedings{1ac2a3a3b3304363aabbe130b3f6e908,
title = "Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper)",
abstract = "The enormous growth of sensing devices on the Internet of Multimedia Things (IoMT) has emphasized the need for event processing technologies that deal with the complex nature of unstructured multimodal content. The paper highlights the emerging challenges for event processing applications as we shift to creating more real-time multimodal streams from IoMT. A key challenge is that fewer assumptions hold on the nature of the multimodal events produced, including the existence of a predefined schema and the semantics and meaning of unstructured content. This problem poses an opportunity for a new Open World Event Processing (OWEP) paradigm to natively support unstructured multimodal contents and unknown event types. OWEP offers unique challenges, which, when addressed, improve the practicality of event processing for modern multimodal event streams. We detail a high-level approach for an OWEP engine and highlight this new paradigm's research opportunities.",
keywords = "event processing, internet of things, multimedia",
author = "Edward Curry",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Big Data, BigData 2023 ; Conference date: 15-12-2023 Through 18-12-2023",
year = "2023",
doi = "10.1109/BigData59044.2023.10386119",
language = "English",
series = "Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "196--200",
editor = "Jingrui He and Themis Palpanas and Xiaohua Hu and Alfredo Cuzzocrea and Dejing Dou and Dominik Slezak and Wei Wang and Aleksandra Gruca and Lin, \{Jerry Chun-Wei\} and Rakesh Agrawal",
booktitle = "Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023",
}