The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020) will be held in Hangzhou, China on August 28-30, 2020. The aim of this interdisciplinary conference is to provide a forum for researchers in the broad areas of knowledge science, knowledge engineering, and knowledge management to exchange ideas and to report state of the art research results. KSEM is in the list of CCF (China Computer Federation) recommended Conferences (C series, Artificial Intelligence).

 

The conference committee invites submissions of applied or theoretical research as well as of application-oriented papers on all the topics of KSEM. Topics include, but are not limited to the following:

 

***Knowledge Science***

- Knowledge representation and reasoning

- Logics of knowledge; formal analysis of knowledge; reasoning about knowledge

- Knowledge complexity and knowledge metrics

- Common sense knowledge; non-monotonic reasoning

- Uncertainty in knowledge (randomness, fuzziness, roughness, vagueness)

- Machine learning

- Formal ontologies

- Integration of machine learning and knowledge representation

- Reasoning about knowledge in the presence of inconsistency, incompleteness and context-dependency

- Belief revision and updates

- Cognitive foundations of knowledge

- Knowledge in complex systems (e.g. economical and quantum systems)

- Game-theoretical aspects of knowledge; knowledge in multi-agent systems

 

***Knowledge Engineering***

- Knowledge extraction from texts/big data/Web

- Knowledge discovery from very large databases

- Knowledge integration

- Knowledge-based software engineering

- Knowledge-based systems in life sciences

- Conceptual modelling in knowledge-based systems

- Semantic database systems

- Semantic Web: Content and ontological engineering

- Knowledge engineering applications

 

***Knowledge Management***

- Knowledge creation and acquisition

- Knowledge verification and validation

- Knowledge dissemination

- Knowledge management systems

- Knowledge and data integration

- Knowledge adaptation

- Knowledge management best practices and applications

 

***Knowledge Graphs***

- Probabilistic Knowledge Graphs

- Knowledge graph construction

- Knowledge graph query

- Knowledge graph storage, query and management

- Learning on knowledge graphs

- Knowledge graph embedding

- Knowledge graph completion

- Knowledge graph link prediction

- Knowledge graph applications

 

Keynote Speakers:

Prof. Zhi Jin, Peking University, China; 

Prof. Fei Wu, Zhejiang University, China;

Prof. Feifei Li, Alibaba Group, China.

 

Paper Submission:

Papers must be submitted electronically as a PDF file through the EasyChair conference management system at: https://easychair.org/conferences/?conf=ksem2020

 

All papers will be reviewed by the Program Committee on the basis of technical quality, relevance, originality, significance, and clarity. All paper submissions will be handled electronically. Papers that do not comply with the Submission Guidelines will be rejected without review. Please note:

 

- All papers should be submitted electronically in PDF and be no longer than 12 pages. Please use the Springer LNCS style as described in http://www.springer.de/comp/lncs/authors.html

 

- Short papers are also accepted. Short papers are expected to be within 6-8 pages, including all text, figures, references and appendices.

 

- A limited number of poster papers will be accepted. Poster papers are expected to be within 4-5 pages. Posters will be exhibited in a special poster session.

 

- At least one author of each accepted paper is required to register (regular registration) and present the paper at the conference.