截稿日期(Submission Deadlines)
摘要(Abstract):09 January 2022
全文(Manuscript):10 March 2022
本专辑部分收稿刊物 ( Journal List )
1. Frontiers in Genetics (SCI Impact Factor:4.599)
2. Frontiers in Plant Science (SCI Impact Factor:5.753)
3. Frontiers in Bioengineering and Biotechnology (SCI Impact Factor:4.530)
重要说明 ( Important Note )
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
征稿专辑主题
Explainable, Trustworthy and Responsive Intelligent Processing of Biological
Resources Integrating Data, Information, Knowledge, and Wisdom
征稿话题(Main Topic)
We welcome Original Research and Review articles covering topics of
interest include but are not limited to:
- Latest machine learning algorithms with applications on graphical biomedicine and bioinformatics
- Graphical content analysis techniques for biomedicine and bioinformatics
- Explainable machine learning in biomedicine and bioinformatics
-Trustworthy machine learning in biomedicine and bioinformatics
-Responsive AI strategies in biomedicine and bioinformatics
- Knowledge creation and management in biomedicine and bioinformatics
- Ontology modeling for biological information retrieve
- Multi-modal biological data collections and annotation
- Knowledge-based signal/image/video/text feature extraction
- Knowledge creation and reasoning for biological processing
- DIKW architecture-based biological resource processing and service provision
- Ontological approach and formal modeling, and verification methods of graphical biological resources
- Multi-objective graphical optimization with an application on biomedicine
- Legislation on collection, processing and usage of biological privacy information
- Ethical issues in processing and usage of biological resources
关键词(Keywords)
Strong Intelligence, Explain-ability, Responsive AI, Trustworthy AI,
Biological Resources, DIKW, Knowledge Graph
重要日期(Important Dates)
Abstract Submission Deadline(For Presenter):
Aug. 1, 2021
Full Paper Submission Deadline(For Author):
Sep. 1, 2021
Notification Of Acceptance:
Oct. 1, 2021
Registration Deadline:
Nov. 1, 2021
Conference Dates:
Dec. 17-19, 2021
会议地点(Conference Location)
Haikou, China
主题(Topic)
Application of Knowledge Representation Techniques to Semantic Modeling
Big Data and Inter Edge-Cloud Computing
Cooperation in Heterogeneous Systems
Data Integration, Metadata Management, and Interoperability
Data, Information and Knowledge Sharing
Data Mining and Knowledge Discovery
Data Models, Information Semantics, Query languages
Data Provenance, cleaning, curation
Data Stream Systems and Sensor Networks
Data Visualization and Interactive Data Exploration
Database Privacy, Security, Trust and Design
Development and Management of Heterogeneous Knowledge Bases
Digital Libraries
Domain Modeling and Ontology-Building
Data, Information and Knowledge Security
Information Storage and Retrieval and Interface Technology
Management of Data, Information and Knowledge Hybrid Systems
Multimedia and Crossmodals “Databases”
Optimization Techniques of DIKW applications
Theories of DIKW models and Performance Evaluation approaches
重要日期(Important Dates)
Workshop paper submission deadline:
20 June 2021
Notification to authors:
5 July 2021
Camera-ready and registration due:
15 July 2021
主题(Topic)
Crossmodal learning as a Service
Incomplete optimal synthesis as a Service
Data Network as a Service
Information Network as a Service
Knowledge Network as a Service
Strong AI as a Service
AI governance as a Service
Explainable Machine Learning Services
Situation-aware Knowledge Services
Ontology modeling for DIKW services
Data acquisition and linking services for Edge Computing
Information analysis and abstraction services for Edge Computing
Knowledge creation and reasoning services for Edge Computing
DIKW architecture-based content/resource processing and service provision
Load balancing based on transformation services among layers of DIKW
Theories and methods for transformations and coordination among layers of DIKW
Security and Privacy Services based on Knowledge Networks
Edge and Fog Network Services related to Knowledge Networks
Meta Modeling and formal modeling, and verification methods of semantic rich graphs
The Second IEEE International Workshop on Knowledge Networks (KN)
(Formerly IEEE International Workshop on Knowledge Graph as a Service) In conjunction with
the IEEE SERVICES 2020
July 7-11, 2020, Beijing, China
征稿专辑题目(Main topic)
Explainable Intelligent Processing of Biological Resources Integrating
Data, Information, Knowledge, and Wisdom
关键词(Keywords)
Strong Intelligence,
Explain-ability, Biological Resources, DIKW, Knowledge Graph
主题尽量与DIKW资源处理相关
进入投稿系统后 SECTION category 请选择: SPECIAL ISSUE: Knowledge Graphs (KG)
征稿专辑题目(Main topic)
包括但不限于:Small data learning,Knowledge Graph as a Service,AI as a
Service,Explainable Machine Learning Services,Knowledge Management and creation in
Context-aware and Situation-aware Services,Ontology modeling for IR,Data acqusition and
linking for Edge Computing,Information analysis and abstraction for Edge Computing,Knowledge
creation and reasoning for Edge Computing,DIKW architecture-based content/resource
processing and service provision,Security and Privacy Services based on Knowledge
Graphs,Load balancing based on transformations among layers of DIKW,Edge and Fog Network
Services related to DIKW architecture-based,Theories and methods for transformations and
coordination among layers of DIKW,Meta Modeling and formal modeling, and verification
methods of semantic rich graphs...
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