会议信息

SKG 2019: International Conference on Semantics, Knowledge and Grids

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SKG
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截稿日期:
2019-07-31 Extended
通知日期:
2019-08-15
会议日期:
2019-09-17
会议地点:
Guangzhou, China
届数:
15
浏览: 36515   关注: 18   参加: 6

会伴指数 (CP-I)

50.1 / 100
全站第 1,559 名 / 共 5,682 个会议 · 前 28%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入
会议传承 (20%)
75
社区关注 (10%)
39
资料公开度 (15%)
25

用到的输入: 有据可查的届次:15 · 在会伴关注它的研究者:18 人 · 过去 24 个月打开过本页的研究者:3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-20

征稿

SKG 2019 (International Conference on Semantics, Knowledge and Grids) is an academic conference held in Guangzhou, China on 2019-09-17. The paper submission deadline is 2019-07-31 (extended). Acceptance notifications are sent on 2019-08-15.

The mission of the International Conference on Semantics, Knowledge and Grids (SKG) is to promote cross-area research and accelerate the development of relevant areas. It has become a major cross-area international forum through 15 years' professional organisation. As usual, SKG 2019 features keynotes of well-known scientists. Big Data, Artificial Intelligence and Future Interconnection Environment will be important topics of SKG 2019. SCI-indexed international journal special issues will be organised after conference. Areas of Submission We welcome submissions of high quality papers in (but not restricted to) the following areas: Semantics and Big Data Language, Cognition and Semantics: Learning and Deep Learning Web Semantics, Semantic Computing, Interactive Semantics Semantic Search and Query Semantic Link Discovery, Semantic Link Network Big Data Foundations, Management and Analytics Semantic Visualisation of Big Data Multi-Dimensional Management of Big Data Block chain Knowledge and Intelligence: Knowledge Discovery, Representation and Reasoning on Big Data Ontology and Knowledge Map Knowledge Infrastructure Large-Scale Distributed Knowledge Management Knowledge Flow Human & Social-Level Intelligence Social Computing and Social Intelligence on Big Data Cyber-Infrastructure: Advanced Computing Infrastructure Cloud, Peer-to-Peer, Service Computing Cyber-Physical Systems, Cyber-Physical Society, Internet of Things Software as a Service, Infrastructure as a Service Sensor networks, Social networks, Internet-Based Multi-Agent Systems Energy-Sensitive Mobile Computing Advanced Applications: Enterprise Content Computing, Summarisation, Recommendation, QA Smart Grids, Smart Cities Data-Driven Software Engineering, Requirement Discovery, Automatic Programming e-Culture, e-Science, e-Business, e-Learning, e-Government, e-Health
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