Knowledge Management in Ambient Intelligent Systems (KnowMAIS_22)
Present and Future of Knowledge Management Technologies


Ambient Intelligence (AmI) concepts are related to smart environments, ubiquitous computing, or pervasive computing. AmI is primarily based on the integration of information and communication technologies (ICT) into the environment through ubiquitous or pervasive computing. Ubiquitous systems provide a computing environment where a large number of computing resources are present almost everywhere in the environment to provide services to users seamlessly. In Ambient Intelligent Systems the role of knowledge management is to facilitate individual and well as group objects within a specific domain. Knowledge Management concepts focus on generating, capturing, integrating, transforming, storing, and retrieving object’s related information along with the focus on data mining and expert knowledge acquisition. Whereas for objects collaboration, the data must be reliable, synchronized, and consistent along with the well-defined strategy for the delivery and the presentation of shared data. Another important aspect in objects collaboration is to facilitate the process of learning and reasoning of information in situations where the data is incomplete.
You are invited to submit your original unpublished work to the Workshop on Knowledge Management in Ambient Intelligent Systems (KnowMAIS). The workshop will take place in conjunction with the 13th International Conference on Ambient Systems, Networks and Technologies (ANT 2022) March 22 - 25, 2022, Porto, Portugal.
The Workshop consists of the following major tracks covering all aspects of knowledge management:

  • 1. Knowledge based intelligent systems in industry 4.0
  • 2. Ontology-based knowledge management for ambient intelligent systems.
  • 3. Knowledge based Ambient Intelligent Decision Support Systems
  • 4. Knowledge acquisition, representation, and reasoning for intelligent environments.
  • 5. Internet of Things (IoT) and knowledge management.
  • 6. Knowledge sharing among smart objects.
  • 7. Data Mining and Knowledge Discovery in smart environments.
  • 8. Secure and distributed knowledge management in pervasive environments.
  • 9. Knowledge Management in Self-Organizing Systems.
  • 10. Healthcare knowledge management.
  • 11. Artificial intelligence techniques for knowledge management.
    Researchers and practitioners with interest in any of the above-stated tracks are invited to submit their original unpublished work. Submitted papers will go through an intensive peer-review process on the criteria of originality and relevance of work.

Paper Format

The submitted paper must be formatted according to the guidelines of Procedia Computer Science, MS word template, latex, template generic, elsevier.

Paper Length

Submitted technical papers must be 6 pages including all figures, tables and references.

Paper Submission

Authors are requested to submit their papers electronically using the online conference management system in PDF format before the deadline.


All KnowMAIS 2022 accepted papers will be published in the Journal of Procedia Computer Science hosted by Elsevier ( and will be freely available on ScienceDirect (
All papers in Procedia will be indexed by:
  • 1. Scopus (;
  • 2. Thomson Reuters' Conference Proceeding Citation Index (
  • 3. Engineering Village (Ei) ( This includes EI Compendex (
  • 4. DBLP (

Journal Special Issues

Selected papers will be invited for publication, in the special issues of:
  • 1. International Journal of Ambient Intelligence and Humanized Computing (
  • 2. International Journal on Transportation Research Part A: Policy and Practice (
  • 3. International Journal of Computing and Informatics (
  • 4. Journal of Personal and Ubiquitous Computing (

Important Dates

  • Paper Submission Due: December 10, 2021
  • Acceptance Notification: December 30, 2021

TPC Members

  • Dr. Radziah Mohamad, Associate Professor, Department of Software Engineering, Universiti Teknologi Malaysia (UTM ).
  • Dr. Mohammad Nazir Ahmad, Associate Professor, Universiti Kebangsaan Malaysia.
  • Dr. Mumtaz Begum Mustafa, Associate Professor, Head Department of Software Engineering, Faculty of Computer Science & Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
  • DR. Hamid, UVAS, Lahore, Pakistan.
  • DR. Muddasar Naseer, Lahore University, Pakistan.
  • Dr Rashid H Khokhar, School of Computing & Mathematics, Faculty of Business, Charles Sturt University (CSU), Australia.

Organizing Committee

  • Dr. Farrukh Zeshan, Associate Professor, COMSATS University Islamabad (CUI), Lahore Campus, Pakistan.
  • Dr. Adnan Ahmad, Associate Professor, COMSATS University Islamabad (CUI), Lahore Campus, Pakistan