Repository logo
  • English
  • Ελληνικά
  • Log In
    Have you forgotten your password?
Repository logo
  • Collections
  • Research Outputs
  • Projects
  • People
  • Statistics
  • English
  • Ελληνικά
  • Log In
    Have you forgotten your password?
  1. Home
  2. Ψηφιακό Αποθετήριο ΚΥΨΕΛΗ / Kypseli Digital Repository
  3. Δημοσιεύσεις / Publications
  4. Collective intelligence and knowledge exploration: an introduction
 
  • Details
Options

Collective intelligence and knowledge exploration: an introduction

Author(s)
Sassi S.
Ivanovic M.
Chbeir R.
Prasath R.
Manolopoulos, Yannis 
ISSN
2364415X
Date Issued
2022
Page Start
99
Page End
111
DOI
10.1007/s41060-022-00338-9
Faculty
Faculty of Pure and Applied Sciences 
Abstract
Collective intelligence and Knowledge Exploration (CI and KE) have been adopted to solve many problems. They are particularly used by companies as a support for innovation to efficiently obtain usable results. CI is usually defined as a group ability to perform consistently well across a wide variety of tasks, and it has to be combined with KD to ensure processes optimization, efficient management process, participative management, leadership, continuous teamwork, and so on. The importance of innovation grows the same way as the importance of mixing CI and KE, ensuring the successful exploitation of knowledge. Here, we present a quick review of current knowledge-oriented CI developments and applications. It aims at showing some observations about what's currently missing. Our editorial presents some recent interesting studies that we have gathered after a tight selection process. It also concludes by proposing avenue challenges to continue pushing CI and KE research forward, particularly regarding knowledge exploration. � 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Publisher
Springer Science and Business Media Deutschland GmbH
  • Contact Us
  • Cookie settings
  • Open University of Cyprus
  • OUC Library
  • Policies
  • Accessibility and Data Protection

Find us on:

FacebookFacebook

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science - Powered by Dataly