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International Journal of Conceptual Structures and Smart Applications (IJCSSA) Volume 2, Issue 1

Book Description

The International Journal of Conceptual Structures and Smart Applications (IJCSSA) provides a forum for the role of Conceptual Structures (CS) and Smart Applications (SA) in arts, business, science and social applications. The journal brings together research that spans these domains to explore ways that CS and SA can enrich these human endeavors. Arising originally out of the research of IBM in conceptual graphs, the scope includes a wider range of theories and practices, including formal concept analysis, description logics, the semantic Web, the pragmatic Web, ontologies, multi-agent systems, concept mapping, and more. Accordingly, CS represents a family of approaches that builds on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modeling, enterprise architecture and modelling, information and Web technologies, knowledge discovery, knowledge management, and user modeling.

This issue contains the following articles:

  • Understanding and Modeling Context in Data Integration
  • An Enterprise Ontology Based Conceptual Modeling Grammar for Representing Value Chain and Supply Chain Scripts
  • Implementation of JDL Model for Multidimensional Measurements Processing in the Environment of Intelligent GIS
  • On the Computational Character of Semantic Structures
  • Visualising Inconsistency and Incompleteness in RDF Gene Expression Data using FCA

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Editorial Preface
  5. Understanding and Modeling Context in Data Integration
    1. ABSTRACT
    2. INTRODUCTION
    3. OBSTACLES TO CAPTURING CONTEXT
    4. PREVIOUS APPROACHES TO CAPTURING CONTEXT
    5. CONSIDERING CONTEXT FOR USE WITH DATA INTEGRATION
    6. DATA INTEGRATION REQUIRES MULTIPLE CONTEXTS
    7. USING CONCEPTUAL GRAPHS TO BUILD CONTEXT MODELS
    8. DATA INTEGRATION CONTEXT MODELING EXAMPLE
    9. RELATED WORK
    10. CONCLUSION
    11. REFERENCES
  6. An Enterprise Ontology Based Conceptual Modeling Grammar for Representing Value Chain and Supply Chain Scripts
    1. ABSTRACT
    2. INTRODUCTION
    3. INTRODUCTION TO REA
    4. REA PRIMITIVES
    5. REA AXIOMS
    6. COMPARATIVE ANALYSIS
    7. INSIDE AND OUTSIDE AGENT
    8. RELATED RESEARCH
    9. CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. ENDNOTES
  7. Implementation of JDL Model for Multidimensional Measurements Processing in the Environment of Intelligent GIS
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. JDL MODEL FOR MULTIDIMENSIONAL MEASUREMENTS PROCESSING
    5. IMPLEMENTATION OF THE JDL MODEL FOR MULTIDIMENSIONAL MEASUREMENTS PROCESSING
    6. CASE STUDY: TELEMETRIC INFORMATION PROCESSING SYSTEMS
    7. CONCLUSION
    8. REFERENCES
  8. On the Computational Character of Semantic Structures
    1. ABSTRACT
    2. INTRODUCTION
    3. SEMANTIC REPRESENTATION AND SEMANTIC COMPUTATIONALITY
    4. ON LOGICAL FORM
    5. ON THE NOTION OF LOGICAL FORM (LF)
    6. LOGICAL FORM AND LF: FORMAL CORRESPONDENCES
    7. HOW DISTINCT ARE LOGICAL FORM AND LF?
    8. REFLECTIONS ON THE NATURE OF SEMANTIC STRUCTURES AND SEMANTIC INTERPRETATION
    9. IMPLICATIONS FOR REASONING IN NATURAL LANGUAGE
    10. CONCLUSION
    11. REFERENCES
  9. Visualising Inconsistency and Incompleteness in RDF Gene Expression Data using FCA
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. FORMAL CONCEPT ANALYSIS
    4. 3. INCONSISTENT AND INCOMPLETE DATA (IID) OF RDF DATASET
    5. 4. IDENTIFYING AND VISUALISING IID OF A RECORDSET
    6. 5. THE EMAGE DATA
    7. 6. EVALUATION, CONCLUSION AND FUTURE WORK
    8. REFERENCES
    9. ENDNOTES
  10. Call For Articles