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Titlebook: Cooperative Information Systems; 29th International C Mohamed Sellami,Maria-Esther Vidal,Hervé Panetto Conference proceedings 2024 The Edit

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發(fā)表于 2025-3-21 17:19:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cooperative Information Systems
副標(biāo)題29th International C
編輯Mohamed Sellami,Maria-Esther Vidal,Hervé Panetto
視頻videohttp://file.papertrans.cn/238/237987/237987.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Cooperative Information Systems; 29th International C Mohamed Sellami,Maria-Esther Vidal,Hervé Panetto Conference proceedings 2024 The Edit
描述This book constitutes the refereed proceedings of the 29th International Conference on Cooperative Information Systems, CoopIS 2023, held in Groningen, The Netherlands, during October 30–November 3, 2023.?The 21 regular papers and 10 work-in-progress papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Knowledge Engineering; Deployment and Migration in CISs; Security and Privacy in CISs; Process Modeling; Process Analytics; Human Aspects and Social Interaction in CISs; and Work in Progress..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; automation; Business Process Management (BPM); computer networks; computer scie
版次1
doihttps://doi.org/10.1007/978-3-031-46846-9
isbn_softcover978-3-031-46845-2
isbn_ebook978-3-031-46846-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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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Considering Vocabulary Mappings in?Query Plans for?Federations of?RDF Data Sourcesposes several challenges, one of which is that different but semantically-overlapping vocabularies may be used for the respective RDF data. Since the federation members usually retain their autonomy, this heterogeneity cannot simply be homogenized by modifying the data in the data sources. Therefore
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發(fā)表于 2025-3-22 03:55:40 | 只看該作者
AIS - A Metric for?Assessing the?Impact of?an?Influencer’s Twitter Activity on?the?Price of?a?Cryptoverlooked this aspect, focusing on sentiment analysis that includes all posts from all users. Making it challenging to detect trends caused by individuals. To address this gap, we introduce the Asset Influence Score (AIS), a percentage-based metric that assesses the likelihood of a newly issued twee
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Managing the?Variability of?Component Implementations and?Their Deployment Configurations Across Hetffer between customers. Therefore, deployment technologies, such as Ansible or Terraform, support a certain degree of variability modeling. Besides, modern application systems typically consist of various software components deployed using multiple deployment technologies that only support their pro
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Adaptive Multi-agent System for?Dynamic Clustering Applied to?Itineraries Regularities and?Traffic Pinformation relating the state of the surrounding environment at nearly real-time. These data provide important information required for real-time systems monitoring such as temperature regulation in smart building, traffic planning to relieve network congestion in smart cities, etc. The growing dem
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Decentralized and?Autonomous Key Management for?Open Multi-agent Systems of?Embedded Agents of network embedded systems cooperating in real time to achieve their goal without a central server issuing commands. In this context, agents are very prone to attacks as they can be confronted with new agents with unknown goals and as they often rely on wireless ad hoc communications. The key infr
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Beyond Rule-Based Named Entity Recognition and?Relation Extraction for?Process Model Generation fromactivities. However, the time-consuming but required step of designing formal business process models often hampers the potential of these systems. To overcome this challenge, automated generation of business process models from natural language text has emerged as a promising approach to expedite t
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