Conference Information
JIST 2019: The Joint International Semantic Technology Conference
http://jist2019.openkg.cn/Submission Date: |
2019-08-10 |
Notification Date: |
2019-09-14 |
Conference Date: |
2019-11-25 |
Location: |
Hangzhou, China |
Years: |
9 |
Viewed: 12146 Tracked: 4 Attend: 1
Call For Papers
The Joint International Semantic Technology Conference (JIST) is a joint event for regional Semantic related conferences. Since launched at Hangzhou in 2011, it has become the premium Asian forum on Semantic Web, Knowledge Graph, Linked Data and AI on the Web. The mission of JIST 2019 is to bring together researchers in the Semantic Technology research community and other areas of semantic-related technologies to present their innovative research results or novel applications of semantic technologies. There are two tracks in JIST 2019. Research Track JIST 2019 research track solicits submissions of original research work on semantic technologies. Topics of interest include, but are not limited to: Ontology and reasoning Knowledge Presentation and Semantic Reasoning Representation Learning for Knowledge Graphs Knowledge Graph Embedding and Knowledge Base Completion Knowledge Graph Construction Knowledge Base Population and Information Extraction Semantic Search and Question Answering Systems Semantic Data Storage and Graph Database Linked Data and Semantic Data Integration Semantic IoT and Semantic Data streams Semantic Web Services and Processes Trust, Privacy, and Security on the Semantic Web Novel applications of Semantic Technologies and Knowledge Graphs Special Session Track JIST 2019 special session track to discover and implement special topics that researchers in Semantic Technology are particularly interested in. We also intend to facilitate participation of potentially-related researchers in the JIST conference. Topics of special sessions are as follows: Special Session on Open Knowledge Graph Special Session on Open Knowledge Graph Special Session on Question Answering and ChatBots Special Session on Graph Neural Network and Knowledge Graph
Last updated by Dou Sun in 2019-06-18
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Algorithms for Molecular Biology | 1.500 | Springer |
IET Computers and Digital Techniques | 0.484 | IET |
Artificial Intelligence and Law | 3.100 | Springer |
Signal, Image and Video Processing | 2.000 | Springer |
International Journal of Control | 1.600 | Taylor & Francis |
Biologically Inspired Cognitive Architectures | Elsevier | |
Journal of the Association for Information Science and Technology | 2.800 | John Wiley & Sons |
Foundations and Trends in Signal Processing | 1.700 | Now Publishers Inc. |
Design Automation for Embedded Systems | 0.900 | Springer |
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