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Titlebook: Artificial Intelligence for Knowledge Management; 4th IFIP WG 12.6 Int Eunika Mercier-Laurent,Danielle Boulanger Conference proceedings 201

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發(fā)表于 2025-3-21 16:46:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence for Knowledge Management
期刊簡(jiǎn)稱4th IFIP WG 12.6 Int
影響因子2023Eunika Mercier-Laurent,Danielle Boulanger
視頻videohttp://file.papertrans.cn/163/162382/162382.mp4
學(xué)科分類IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Artificial Intelligence for Knowledge Management; 4th IFIP WG 12.6 Int Eunika Mercier-Laurent,Danielle Boulanger Conference proceedings 201
影響因子This book features a selection of papers presented at the 4th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2016, held in New York, USA, in July 2016, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2016.?.The 9 revised and extended papers were carefully reviewed and selected from 16 submissions. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections..
Pindex Conference proceedings 2018
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Paul Christopher Manuel,Miguel Glatzerlow for encoding semantics of data and even fewer allow for using ontologies to guide learning process. This paper discusses the use of data semantics and ontologies in health and medical applications of supervised learning, and particularly describes how the Unified Medical Language System (UMLS) i
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Faith-Based Organizations and Social Welfares performed for customers from the nature are very flexible – so preparation ontology for such goals must include dynamic aspects. The goal of this paper is creation dynamic ontology for relationships type of C2C (Citizen to City). It is especially important in knowledge management at the local leve
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Faith-Based Organizations and Social Welfareods to improve the e-learning system. These opportunities are explored, in the current paper, by blending web usage mining techniques with polyadic formal concept analysis and answer set programming. In this research, we consider the problem of investigating browsing behavior by analyzing users’ beh
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