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Titlebook: Research Challenges in Information Science; 18th International C Jo?o Araújo,Jose Luis de la Vara,Sa?d Assar Conference proceedings 2024 Th

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書目名稱Research Challenges in Information Science
副標題18th International C
編輯Jo?o Araújo,Jose Luis de la Vara,Sa?d Assar
視頻videohttp://file.papertrans.cn/828/827735/827735.mp4
叢書名稱Lecture Notes in Business Information Processing
圖書封面Titlebook: Research Challenges in Information Science; 18th International C Jo?o Araújo,Jose Luis de la Vara,Sa?d Assar Conference proceedings 2024 Th
描述.This book constitutes the proceedings of the 18th International Conference on Research Challenges in Information Sciences, RCIS 2024, which took place in Guimar?es, Portugal, during May 2024...The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice...The 25 full papers, 12 Forum and 5 Doctoral Consortium papers included in these proceedings were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows:..Part I: Data and information management; conceptual modelling and ontologies; requirements and architecture; business process management; data and process science; security; sustainability; evaluation and experience studies..Part II: Forum papers; doctoral consortium papers..
出版日期Conference proceedings 2024
關鍵詞data analytics; conceptual modeling; process mining; Business Process Management; information systems; re
版次1
doihttps://doi.org/10.1007/978-3-031-59468-7
isbn_softcover978-3-031-59467-0
isbn_ebook978-3-031-59468-7Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Improving Understanding of?Misinformation Campaigns with?a?Two-Stage Methodology Using Semantic Anal approach. The first stage involves extracting valuable knowledge from each Fake News using both Artificial Intelligence and Natural Language Processing (NLP) techniques. The second stage entails aggregating the collected information using data analysis methods to facilitate the characterization and identification of disinformation campaigns.
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ExpO: Towards Explaining Ontology-Driven Conceptual Modelsrs working with the language OntoUML, and . a web application for model exploration mostly designed for domain experts. We describe characteristics of every component and specify scenarios of possible usages.
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