The 23rd International Conference on Knowledge Engineering and Knowledge Management concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on.

Topics of interest

EKAW 2022 welcomes long and short papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management.

In particular, but not exclusively, we solicit papers about methods, tools and methodologies on the following topics:

  • Knowledge Engineering and Acquisition
    • Methods, techniques and tools for knowledge acquisition and ontology engineering
    • Ontology design patterns
    • Ontology localisation and multilinguality
    • Ontology mapping and alignment
    • Ontology evaluation and metrics
    • Semi-automatic knowledge acquisition, e.g., ontology learning
    • Collaborative knowledge engineering
    • Uncertainty and vagueness in knowledge representation
    • Dealing with dynamic, distributed and emerging knowledge
  • Knowledge Management and Governance
    • Methods, techniques and tools for knowledge management
    • Knowledge sharing and distribution, collaboration
    • Methods for accelerating take-up of knowledge management technologies
    • Ontology and knowledge governance
    • Knowledge evolution, maintenance and preservation
    • Incentives for human knowledge acquisition and data quality improvement
  • Ethical and Trustworthy Knowledge Engineering
    • Ethics, trust and privacy in knowledge representation and reasoning
    • Explainable AI
    • Transparency for knowledge-based systems
    • FAIR data and FAIR knowledge
    • Provenance and trust in knowledge management
    • Inclusivity and diversity in knowledge representation
  • Social and Cognitive Aspects of Knowledge Engineering
    • Similarity and analogy-based reasoning
    • Knowledge representation inspired by cognitive science
    • Synergies between humans and machines
    • Knowledge emerging from user interaction and (social) networks
    • Knowledge ecosystems
    • Crowdsourcing in knowledge management
  • Knowledge discovery
    • Mining the web of data for knowledge construction
    • Text mining and ontology engineering
    • Classification and clustering for knowledge management
    • Mining patterns and association rules
    • Neuro-symbolic Artificial Intelligence
  • Applications in specific domains such as:
    • eGovernment and public administration
    • Media
    • Life sciences, health and medicine
    • Humanities and Social Sciences
    • Automotive and manufacturing industry
    • Cultural heritage
    • Digital libraries
    • Geosciences
    • ICT4D (Knowledge in the developing world)

Types of papers

We will accept three types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria. At submission time the paper has to be clearly identified as belonging to one of the following categories. All three paper types can be in the form of long and short papers.

  • Research papers (long and short): These are standard papers presenting a novel method, technique or analysis with appropriate empirical or other types of evaluation as a proof-of-concept. The main evaluation criteria here will be originality, technical soundness and validation.
  • In-use papers (long and short): Here we are expecting papers describing applications of knowledge management and engineering in real environments. Applications need to address a sufficiently interesting and challenging problem on real-world datasets, involving many users.. The focus is less on the originality of the approach and more on presenting systems that solve a significant problem while addressing the particular challenges that come with the use of real-world data. Evaluations are essential for this type of paper and should involve a representative subset of the actual users of the system.
  • Position papers (long and short): We invite researchers to also publish position papers, which describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments.

Important dates

  • Abstract submission deadline: June 3, 2022
  • Full paper submission deadline: June 10, 2022
  • Notification of acceptance: July 12, 2022
  • Camera-ready paper: July 26, 2022
  • Conference days: September 26-29, 2022

All submission deadlines are 23:59:59 AoE.

Submissions and publications

As in past editions, accepted papers will be published in an LNAI volume.

LNAI logo

Submission instructions

Pre-submission of abstracts is a strict requirement. All papers and abstracts have to be submitted electronically via EasyChair (https://easychair.org/conferences/?conf=ekaw2022).

All submissions must be in English. Long papers should not be longer than 15 pages (references included), and short papers should not be longer than 7 pages (references included). 

Submissions must be in PDF, formatted in the style of LNCS conference proceedings.

For details, see https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.