You are previewing Business Intelligence Applications and the Web.
O'Reilly logo
Business Intelligence Applications and the Web

Book Description

Over the last decade, we have witnessed an increasing use of Business Intelligence (BI) solutions that allow business people to query, understand, and analyze their business data in order to make better decisions. Traditionally, BI applications allow management and decision-makers to acquire useful knowledge about the performance and problems of business from the data of their organization by means of a variety of technologies, such as data warehousing, data mining, business performance management, OLAP, and periodical business reports. Research in these areas has produced consolidated solutions, techniques, and methodologies, and there are a variety of commercial products available that are based on these results.Business Intelligence Applications and the Web: Models, Systems and Technologies summarizes current research advances in BI and the Web, emphasizing research solutions, techniques, and methodologies which combine both areas in the interest of building better BI solutions. This comprehensive collection aims to emphasize the interconnections that exist among the two research areas and to highlight the benefits of combined use of BI and Web practices, which so far have acted rather independently, often in cases where their joint application would have been sensible.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. EDITORIAL ADVISORY BOARD
    2. LIST OF REVIEWERS
  5. Foreword
  6. Preface
  7. Acknowledgment
  8. Section 1: BI with Web Data
    1. Chapter 1: Quality Management in Web Warehouses
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. A REFERENCE ARCHITECTURE FOR QUALITY AWARE WEB WAREHOUSES
      5. WEB DATA SOURCES QUALITY MANAGEMENT
      6. DATA WAREHOUSE QUALITY MANAGEMENT
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    2. Chapter 2: Innovative Approaches for Efficiently Warehousing Complex Data from the Web
      1. ABSTRACT
      2. INTRODUCTION
      3. GENERAL LITERATURE REVIEW
      4. XML DATA WAREHOUSING
      5. COMBINING OLAP AND DATA MINING FOR COMPLEX DATA ANALYSIS
      6. ANALYSIS PERSONALIZATION IN COMPLEX DATA WAREHOUSES
      7. CONCLUSION
      8. FUTURE RESEARCH ISSUES
    3. Chapter 3: An Extraction, Transformation, and Loading Tool Applied to a Fuzzy Data Mining System
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PRELIMINARIES
      5. EXTENDING THE DMFSQL LANGUAGE FOR FUZZY ETL
      6. USING THE EXTENDED DMFSQL LANGUAGE IN AN ETL ARCHITECTURE APPLIED TO INTEGRATION OF QUESTIONNAIRES
      7. FUTURE RESEARCH DIRECTIONS
    4. Chapter 4: Incorporating Text OLAP in Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. ANALYZING TEXT DOCUMENTS
      4. LINKING TEXT DOCUMENTS WITH STRUCTURED DATA
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    5. Chapter 5: A Semantic Approach for News Recommendation
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SEMANTICS-BASED RECOMMENDATION
      5. RANKED SEMANTIC RECOMMENDATION 2
      6. EVALUATION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    6. Chapter 6: Interaction Mining
      1. ABSTRACT
      2. 1 INTRODUCTION
      3. 2 INTERACTION MINING
      4. 3 ELICITING USER REQUIREMENTS FOR INTERACTION MINING
      5. 4 A NEW APPROACH FOR INTERACTION MINING
      6. 5 A ROADMAP FOR INTERACTION MINING
      7. CONCLUSION
    7. Chapter 7: OpAL
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. EXTENDING OPAL FOR THE DISAMBIGUATION OF ADJECTIVE POLARITY USING LOCAL CONTEXT
      6. EXTENDING THE OPAL SYSTEM FOR OPINION RETRIEVAL AND QUESTION ANSWERING IN A MULTILINGUAL SETTING
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    8. Chapter 8: A Unified Approach for Taxonomy-Based Technology Forecasting
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. FRAMEWORK
      5. RESULTS: PROOF OF CONCEPT INSTANTIATIONS APPLIED TO SELECTED CASE STUDIES IN RENEWABLE ENERGY
      6. CONCLUSION
  9. Section 2: Engineering Web-Enabled BI
    1. Chapter 9: Business Intelligence-as-a-Service
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. BI-AS-A-SERVICE ARCHITECTURES
      5. 4. FUTURE RESEARCH DIRECTIONS
      6. 5. CONCLUSION
    2. Chapter 10: A Data Mining Service to Assist Instructors Involved in Virtual Education
      1. ABSTRACT
      2. INTRODUCTION
      3. MOTIVATION
      4. RELATED WORK
      5. ARCHITECTURE
      6. SERVICE FUNCTIONALITY
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    3. Chapter 11: BIN
      1. ABSTRACT
      2. INTRODUCTION
      3. BUILDING A BIN: RESEARCH ISSUES AND CHALLENGES
      4. BACKGROUND
      5. AN ARCHITECTURE FOR A BIN
      6. QUERY REFORMULATION FOR A BIN
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
    4. Chapter 12: Towards Ad-Hoc and Collaborative Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. COMPONENTS OF A PLATFORM FOR AD-HOC AND COLLABORATIVE BUSINESS INTELLIGENCE
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    5. Chapter 13: Real-Time BI and Situational Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. REAL-TIME DATA WAREHOUSING
      4. SITUATIONAL BI
      5. CONCLUSION
    6. Chapter 14: Semantic Web Technologies for Business Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. MOTIVATING SCENARIO AND RUNNING EXAMPLE
      4. SEMANTIC WEB FOUNDATIONS
      5. SW TECHNOLOGY FOR INTEGRATION ISSUES IN DATA WAREHOUSING
      6. MULTIDIMENSIONAL MODELS AND THE SW
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
  10. About the Contributors