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Related Experiment Video

Updated: Sep 7, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Collective intelligence and knowledge exploration: an introduction.

Salma Sassi1, Mirjana Ivanovic2, Richard Chbeir3

  • 1University of Jendouba, Jendouba, Tunisia.

International Journal of Data Science and Analytics
|June 22, 2022
PubMed
Summary

Collective intelligence (CI) combined with knowledge exploration (KE) drives innovation and optimizes business processes. This review highlights current CI applications and identifies gaps for future research in knowledge-oriented CI and KE.

Keywords:
Collective intelligenceCollective knowledgeHuman-centered computerKnowledge communityKnowledge discoveryKnowledge explorationKnowledge management

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Area of Science:

  • Information Science
  • Organizational Behavior
  • Computer Science

Background:

  • Collective intelligence (CI) and knowledge exploration (KE) are vital for organizational innovation.
  • CI enhances group performance across diverse tasks.
  • Integrating CI with knowledge discovery (KD) is crucial for process optimization and effective management.

Discussion:

  • This editorial reviews current knowledge-oriented CI developments and applications.
  • It identifies limitations and missing elements in existing CI and KE strategies.
  • Recent studies are analyzed to provide a comprehensive overview.

Key Insights:

  • The synergy between CI and KE is essential for successful knowledge exploitation.
  • Current CI applications show promise but require further development in knowledge exploration.
  • A gap exists in fully integrating CI and KE for advanced innovation support.

Outlook:

  • Future research should focus on advancing CI and KE, particularly in knowledge exploration.
  • Developing novel approaches to integrate CI and KE is recommended.
  • Addressing identified gaps will push the boundaries of CI and KE research.