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Call for Papers丨The 17th National Knowledge Graph and Semantic Computing Conference, AI Open joint call for papers

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2023-05-30 14:10:35935browse

The 17th National Conference on Knowledge Graph and Semantic Computing (CCKS 2023) is currently soliciting papers, and is jointly soliciting papers with "AI Open". The deadline for soliciting papers is June 2, 2023.

China Conference on Knowledge Graph and Semantic Computing (CCKS) is hosted by the Language and Knowledge Computing Professional Committee of the Chinese Information Society of China. The conference originated from the Chinese Knowledge Graph Symposium (CKGS) ) and Chinese Semantic Web and Web Science Conference (CSWS), which were merged in 2016. CCKS 2016, 2017, 2018, 2019, 2020, 2021 and 2022 were held in Beijing, Chengdu, Tianjin, Hangzhou, Held in Nanchang, Guangzhou (online) and Qinhuangdao. The National Knowledge Graph and Semantic Computing Conference has become a core academic conference in the fields of knowledge graph and semantic technology in China, gathering knowledge representation and reasoning, natural language understanding and knowledge acquisition, graph data management and graph computing, intelligence Scholars and R&D personnel in Q&A and other related technical fields.

征稿丨第十七届全国知识图谱与语义计算大会,AI Open联合征稿

The 17th National Conference on Knowledge Graph and Semantic Computing (CCKS 2023) will be held in Shenyang from August 24 to 27, 2023. The theme of this conference is "Knowledge Graph Empowers General AI" , which aims to explore the support capabilities of knowledge graphs for general AI technology, and explore the role and role of knowledge graphs in cross-platform, cross-domain and other AI tasks. Application approaches, study the development trends of key knowledge graph technologies such as knowledge representation, knowledge storage, knowledge mining, knowledge fusion, and knowledge reasoning in the context of general AI, guide the transformation of knowledge graph related technologies, and lay the foundation for the ultimate realization of general AI. The agenda of the conference will include workshops, conference invited reports, cutting-edge trend forums, industry forums, young scholars forums, evaluations and competitions, paper reports, posters and system displays, etc. Well-known scholars at home and abroad will be invited to introduce the latest progress and progress in related fields. Development trends, invite well-known R&D personnel in the industry to share practical experience and promote industry-university-research cooperation.

In addition to research papers and application papers, this conference will continue to set the theme of knowledge graph open resources , aiming to support and promote the sharing of data resources in academia and industry. Resources include but are not limited to: knowledge graphs/ontologies, data sets/evaluation sets, software tools/services/APIs/frameworks, protocols/standard specifications, etc., and are encouraged to publish resources in the Open Knowledge Graph Community (OpenKG). Reviewers will comprehensively evaluate the quality of resources and papers from dimensions such as resource quality and potential impact, reusability (such as documentation), and availability (such as URLs and open source protocols). OpenKG will evaluate the selected open resources Carry out publicity and promotion.

征稿丨第十七届全国知识图谱与语义计算大会,AI Open联合征稿

The conference sincerely invites scholars and R&D personnel in related fields to submit unpublished papers in English and Chinese. English submissions should not exceed 12 pages of PDF, and Chinese submissions should not exceed 8 pages of PDF. The above length limits include references, appendices and other contents. Research and application papers adopt a double-blind review mechanism. Submissions should not disclose author information in the author, text, footnotes, acknowledgments, citations, etc., otherwise the manuscript will be rejected;Knowledge Graph Open Resource Papers adopt a single-blind review mechanism, and submissions should include author information and resource URLs. The manuscript template is as follows:

  • English submission adopts Springer LNCS template
  • https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
  • Chinese submissions adopt the template of "Journal of Chinese Information Science" :
  • http://jcip.cipsc.org.cn/

Accepted English papers will be included in the proceedings published by Springer. Excellent English papers will be recommended to "Journal of Computer Science and Technology", "Data Intelligence" and other related journals after expansion; accepted Chinese papers will be recommended to "Journal of Chinese Information", "Small Microcomputer Systems", "Journal of Peking University", "Journal of Northeastern University", "Journal of Shanxi University", "Journal of Yanshan University" and other related journals. The journal will conduct a second review of the recommended papers and decide whether to publish them.

Thesis topics include (but are not limited to)

  • Knowledge representation and knowledge graph reasoning, such as ontology modeling and evolution, knowledge representation learning, knowledge graph completion, etc.;
  • Knowledge acquisition and knowledge graph construction, such as entity/event extraction, various complex and multi-modal knowledge graph construction, etc.;
  • Knowledge integration and knowledge graph management, such as ontology/entity matching, knowledge quality assurance, graph database and query, etc.;
  • Natural language understanding and semantic computing, such as semantic similarity/relevance calculation, knowledge-enhanced text understanding, etc.;
  • Knowledge graph applications, such as semantic search, question and answer and dialogue, recommendation and assisted decision-making, industrial/government applications, etc.;
  • Knowledge Graph Open Resources, such as domain knowledge graphs, evaluation methods and evaluation sets, graph visualization tools, etc.

Submission URL:

https://easychair.org/conferences/?conf=ccks2023

征稿丨第十七届全国知识图谱与语义计算大会,AI Open联合征稿

Important dates

  • Full paper submission: June 2, 2023 (23:59, Beijing time)
  • Notification of review results: June 30, 2023
  • Submission of the original paper: July 14, 2023 (23:59, Beijing time)
  • Conference Date: August 24-27, 2023

Joint Call for Papers

The conference jointly solicits papers with the magazine "AI Open". Papers included in the magazine's special issue of knowledge graph will have the opportunity to publish reports at the conference. Special issue submission information:

https://www.keaipublishing.com/en/journals/ai-open/call-for-papers/special-issue-on-knowledge-graphs-and-large-scale-language-models/

Conference Organization

  • Chairmen of the conference: Wang Haofen (Tongji University), Han Xianpei (Institute of Software, Chinese Academy of Sciences)
  • Program Chairs: Liu Ming (Harbin Institute of Technology), Cheng Gong (Nanjing University)
  • Organizer: Language and Knowledge Computing Professional Committee of Chinese Information Society of China
  • Organizer: Northeastern University

For questions about submission, please send an email to: ccks2023@easychair.org

About AI Open
AI Open is a freely accessible journal platform for sharing intellectual processing and forward-looking perspectives on artificial intelligence theory and its applications. The journal welcomes research articles, review articles, perspectives, short communications, and technical notes on all aspects of artificial intelligence and its applications. AI Open was established in 2020. As of now, it has been indexed by EI and the journal has been downloaded 200,000 times. It has been cited more than 2,000 times, including 387 citations in Web of Science and 478 citations in Scopus. The average publication time for AI Open is 24 weeks, which means that articles submitted to AI Open can be published within 6 months, which is faster than even conferences. In order to make the journal develop better, we hope to collect more high-quality manuscripts by organizing special issues, and scholars are welcome to apply.

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