Towards a web coverage service for efficient multidimensional information retrieval

Inhaltsverzeichnis (Table of Contents)

• Introduction
• Geographic Business Intelligence (GBIS)
• Business Intelligence (BI)
• Geographic Information Systems (GIS)
• GBIS as the synergic power
• Spatial Online Analytical Processing (SOLAP)
• The prototype solution
• The Open Geospatial Consortium (OGC)
• Web Coverage Service (WCS)
• OnLine Analytical Processing (OLAP)
• Implementation
• The WCS-OLAP integration
• The DPA dataset
• Evaluation
• Conclusion
• References

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This master thesis investigates the integration of Business Intelligence (BI) and Geographic Information Systems (GIS) to develop a comprehensive and efficient geographic business intelligence solution (GBIS). The aim is to create a prototypical solution for Spatial Online Analytical Processing (SOLAP) that leverages the strengths of both technologies. This research explores the potential of combining web coverage services (WCS) with an OLAP server to enable effective multidimensional information retrieval.

• The convergence of Business Intelligence (BI) and Geographic Information Systems (GIS)
• Exploring the concept of Spatial Online Analytical Processing (SOLAP)
• Developing an interoperable web-based prototype solution for SOLAP
• Integrating the Web Coverage Service (WCS) and an OLAP server
• Evaluating the performance and effectiveness of the integrated solution.

Zusammenfassung der Kapitel (Chapter Summaries)

• Introduction: This chapter introduces the research topic and its relevance in the context of integrating Business Intelligence (BI) and Geographic Information Systems (GIS) for efficient information retrieval.
• Geographic Business Intelligence (GBIS): This chapter explores the concepts of Business Intelligence (BI), Geographic Information Systems (GIS), and their integration into a comprehensive GBIS solution. It highlights the benefits of integrating these two technologies for improved decision-making and operational efficiency.
• Spatial Online Analytical Processing (SOLAP): This chapter delves into the emerging field of Spatial Online Analytical Processing (SOLAP), a specialized branch of spatial decision-making solutions that combines spatial and analytical processing capabilities. The chapter discusses the potential and challenges of developing effective SOLAP solutions.
• The prototype solution: This chapter presents the proposed prototype solution, which integrates a Web Coverage Service (WCS) with an OLAP server to create a comprehensive and interoperable platform for multidimensional information retrieval. The chapter describes the key components of the solution and their roles in facilitating data analysis and visualization.
• Implementation: This chapter outlines the practical implementation of the prototype solution, including the integration of the WCS and OLAP server, the use of the Deutsche Presse Agentur (dpa) dataset for testing, and the development of specific scenarios for evaluating the solution's effectiveness.
• Evaluation: This chapter presents the evaluation results of the prototype solution based on the scenarios developed using the dpa dataset. The evaluation assesses the performance, usability, and effectiveness of the integrated solution in retrieving and analyzing multidimensional geospatial information.

Schlüsselwörter (Keywords)

This research focuses on the intersection of Business Intelligence (BI) and Geographic Information Systems (GIS) to develop an integrated solution for Spatial Online Analytical Processing (SOLAP). Key concepts include Web Coverage Services (WCS), OnLine Analytical Processing (OLAP), the Open Geospatial Consortium (OGC), and the Geography Mark-up Language (GML). The study uses the Deutsche Presse Agentur (DPA) dataset for testing and evaluation, highlighting the practical application of these technologies in a real-world context.