Buch, Englisch, 243 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g
JSAI-isAI 2023 International Workshops, JURISIN, SCIDOCA, EmSemi and AI-Biz, Kumamoto, Japan, June 4-6, 2023, Revised Selected Papers
Buch, Englisch, 243 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-031-60510-9
Verlag: Springer Nature Switzerland
This LNAI volume 14644 constitutes the revised selected papers of JSAI-isAI 2023 International Workshops, JURISIN, SCIDOCA, EmSemi and AI-Biz, in Kumamoto, in Japan, held in June 2023.
The 15 full papers included in this volume were carefully reviewed and selected from 52 submissions.
JSAI-isAI 2023 hosted four workshops (JURISIN 2023, SCIDOCA 2023, EmSemi2023, and AI-Biz 2023):
The 17th International Workshop on Juris-informatics (JURISIN 2023) details legal issues from the perspective of information science. It covers various topics, including models of legal reasoning, argumentation agents, legal ontologies, legal knowledge bases, computerized legal education, AI legal problems, legal document analysis, natural language processing for law.
The 7th International Workshop on Scientific Document Analysis (SCIDOCA2023) is an annual international workshop focusing on various aspects and perspectives of scientific document analysis for their effcient use and exploration.
The first International Workshop on Embodied Semiotics (EmSemi2023) focuses on developing a ”multimodal semiotic” approach to the existing semiotics discussed in the fields of linguistics and philosophy of language, focusing on the phenomena such as gestures and signs in language interactions, which have not yet been clearly characterized as symbols.
The International Workshop on Artificial Intelligence of and for Business (AI-Biz 2023) focuses on the vast business and AI technology fields. It covers various topics, including investment strategy, Stock market, mergers and acquisitions, online advertisement, knowledge extraction, power market, collaborative multi-agent, visualization, COVID-19 infections, classification, fake news, wide and deep learning.
Zielgruppe
Research
