You are previewing International Journal of Knowledge Society Research (IJKSR) Volume 7, Issue 2.
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International Journal of Knowledge Society Research (IJKSR) Volume 7, Issue 2

Book Description

The International Journal of Knowledge Society Research (IJKSR) establishes an effective channel of communication between academic and research institutions, policy makers, government agencies, and persons concerned with the analysis of various aspects of the knowledge society. This journal anchors government policies and examines the characteristics of the emerging knowledge intensive economy and social environment. IJKSR investigates key priorities of the knowledge society in terms of critical aspects of human life (e.g. health, education, culture, science, business, etc.).

This issue contains the following articles:

  • Aligning Relational Schema and OWL Ontologies with Hidden Markov Model
  • The Good, the Ugly and the Bad Situation Awareness in the Big Data: A Cognitive Architecture for Social Forecasting
  • Sensitivity Mining in Social Pulses to Address Cultural Heritage Competitive Intelligence
  • Media Mediate Sentiments: Exploratory Analysis of Tweets Posted Before, During, and After the Great East Japan Earthquake
  • Arabic Rumours Identification By Measuring The Credibility Of Arabic Tweet Content
  • Resource Optimization Routing and Scatternet Formation Protocols for Bluetooth Networks

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Special Issue on Dig Data Research and Internet of Things Research:
    1. SHAPING THE DATA DELUGE
    2. REFERENCES
    3. ENDNOTES
  5. Aligning Relational Schema and OWL Ontologies with Hidden Markov Model
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MOTIVATIONS
    4. 3. STATE OF THE ART
    5. 4. THEORETICAL BACKGROUND
    6. 5. THE RELATIONAL LANGUAGE
    7. 6. PROBLEM DEFINITION
    8. 7. THE MODEL
    9. 8. EXPERIMENTS AND EVALUATIONS
    10. 9. CONCLUSION
    11. REFERENCES
    12. ENDNOTES
  6. The Good, the Ugly and the Bad Situation Awareness in the Big Data:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUND
    4. 3. THE BAD ARCHITECTURE
    5. 4. THE BAD IN ACTION - SIMULATION
    6. 5. CONCLUSION AND FUTURE WORK
    7. REFERENCES
    8. ENDNOTES
  7. Sensitivity Mining in Social Pulses to Address Cultural Heritage Competitive Intelligence
    1. ABSTRACT
    2. INTRODUCTION
    3. MOTIVATING EXAMPLE
    4. BACKGROUND AND RELATED WORKS
    5. CHALLENGES FOR CULTURAL SENSITIVITY MINING
    6. THE PROPOSED APPROACH
    7. CH-RELATED SEMANTIC CATEGORIES CORPUS SELECTION
    8. TWEETS ENTITIES EXTRACTION AND ONTOLOGY – BASED MATCHING PROCESS
    9. CH CORRELATION INDEX OR WEIGHT
    10. PERFORMED ANALYTICS
    11. CASES OF STUDY 1: IL BELLO O IL VERO EXHIBITION
    12. CONCLUSION
    13. ACKNOWLEDGMENT
    14. REFERENCES
  8. Media Mediate Sentiments:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. ANALYSIS
    5. 4. MEDIA CATEGORY AND EMOTIONAL VALENCE: OVERALL TRENDS
    6. 5. MEDIA AND EMOTIONAL VALENCE: MONTHLY TRENDS
    7. 6. RELATIONSHIP BETWEEN EMOTIONS AND SUBJECTS
    8. 7. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
  9. Arabic Rumours Identification By Measuring The Credibility Of Arabic Tweet Content
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. DATA COLLECTION
    5. 4. METHODOLOGY APPLIED
    6. 5. EXPERIMENTATION AND CORE FINDINGS ANALYSIS
    7. 6. CONCLUSION
    8. REFERENCES
  10. Resource Optimization Routing and Scatternet Formation Protocols for Bluetooth Networks
    1. ABSTRACT
    2. INTRODUCTION
    3. 2. BLUETOOTH SPECIFICATION
    4. 3. BLUETOOTH APPLICATIONS PROPERTIES AND TOPOLOGIES
    5. 4. ROUTING AND SCATTERNET FORMATION PROTOCOLS
    6. 5. PROPBLEMS AND OPEN RESEARCH ISSUES IN BLUETOOTH
    7. 6. CONCLUSION
    8. References
  11. From Big Data to Smart Business:
    1. 1. PROLOGUE - THE FORMULATION OF HYPOTHESES: A PROFESSIONAL ACTIVITY
    2. 2. SIR POPPER AND LORD BACON ON THE SCIENTIFIC METHOD
    3. 3. MACHINE LEARNING AND PHILOSOPHY OF SCIENCE: BESIDES THE SCIENTIFIC METHOD
    4. 4. THE INTERACTION BETWEEN MACHINE LEARNING AND PHILOSOPHY OF SCIENCE WITH THE ADVENT OF BIG DATA
    5. 5. REVEALING THE NEW ERA OF BIG DATA, MACHINE LEARNING AND COGNITIVE COMPUTING
    6. 6. CONCLUSİON
    7. REFERENCES
    8. ENDNOTES
  12. Call For Articles