You are previewing International Journal of Knowledge and Systems Science (IJKSS) Volume 7, Issue 1.
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International Journal of Knowledge and Systems Science (IJKSS) Volume 7, Issue 1

Book Description

The International Journal of Knowledge and Systems Science (IJKSS) serves as a multi-disciplinary platform and adopts a systems approach to the theory and practice of managing information and people in knowledge intensive activities and processes, emphasizing the understanding of humans and their environment as part of interacting systems from both soft and hard systems science. As a quarterly journal that publishes theoretical, experimental, and experiential papers, practice notes, case studies, and innovative methodologies, IJKSS provides a forum for academicians, scientists, practitioners, and industry professionals to integrate diversity and fragments of knowledge.

This issue contains the following articles:

  • Hybrid Fuzzy-Ontological Project Framework of a Team Work Simulation System
  • The Conceptual MADE Framework for Pervasive and Knowledge-Based Decision Support in Telemedicine
  • From Finding to Explaining: Information Retrieval to Support Maritime Anomaly Analysis
  • Robot Task Planning in Deterministic and Probabilistic Conditions Using Semantic Knowledge Base
  • Ontologies to Lead Knowledge Intensive Evolutionary Algorithms: Principles and Case Study

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Special Issue on Semantic Technologies for Decision Making
  5. Hybrid Fuzzy-Ontological Project Framework of a Team Work Simulation System
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MODEL OF SOFTWARE PROCESS SIMULATION MODELING TO DETERMINE THE PROJECT FRAMEWORK
    4. 3. THE CONSTRUCTION OF ONTOLOGY FRAMEWORKS FOR SPSM
    5. 4. THE USE OF FUZZY COMPETENCE PATTERNS FOR SELECTING PROJECT TEAM MEMBERS IN SPSM
    6. 5. IMPLEMENTATION OF ONTOLOGY FRAMEWORKS AND FUZZY COMPETENCE PATTERNS IN TEAM WORK SIMULATION
    7. 6. CONCLUSION
    8. REFERENCES
  6. The Conceptual MADE Framework for Pervasive and Knowledge-Based Decision Support in Telemedicine
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DESCRIPTION OF THE MADE FRAMEWORK
    5. APPLICATION OF THE MADE FRAMEWORK
    6. DISCUSSION AND FUTURE WORK
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
  7. From Finding to Explaining:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. APPLICATION CONTEXT AND CHALLENGES
    5. 4. DOCUMENT REPRESENTATION AND SEMANTIC INTEGRATION
    6. 5. STRATEGIES FOR INFORMATION RETRIEVAL
    7. 6. CONCLUSION AND FUTURE WORK
    8. REFERENCES
  8. Robot Task Planning in Deterministic and Probabilistic Conditions Using Semantic Knowledge Base
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. SEMANTIC KNOWLEDGE BASE (SKB) IN PLANNING SYSTEM
    5. 4. PLANNING UNDER UNCERTAINTY
    6. 5. TESTING SCENARIO
    7. 6. CONCLUSION AND FUTURE WORK
    8. REFERENCES
  9. Ontologies to Lead Knowledge Intensive Evolutionary Algorithms:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. METHODOLOGY OVERVIEW
    4. 3. STRUCTURING KNOWLEDGE FOR EVOLUTIONARY ALGORITHMS
    5. 4. MULTI-OBJECTIVE OPTIMIZATION AND EVALUATION FUNCTIONS
    6. 5. DEFINITION OF THE CHROMOSOME AND OF THE EVOLUTIONARY OPERATORS
    7. 6. EXPERIMENT SETUP
    8. 7. CONCLUSION AND PERSPECTIVES
    9. ACKNOWLEDGMENT
    10. REFERENCES
    11. ENDNOTES
  10. Call For Articles