Analytical processing of XML documents: opportunities and challenges
ACM SIGMOD Record
Algorithms for efficient structure-based grouping in XML-OLAP
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
A conceptual model for multidimensional analysis of documents
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Finding an application-appropriate model for XML data warehouses
Information Systems
Dynamic approach for integrating web data warehouses
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Data warehousing and OLAP over big data: current challenges and future research directions
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
Topological XML data cube construction
International Journal of Web Engineering and Technology
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Abstract: On-Line Analytical Processing (OLAP) enables analysts to gain insight into data through fast and interactive access to a variety of possible views on information, organized in a dimensional model. The demand for data integration is rapidly becoming larger as more and more information sources appear in modern enterprises. In the data warehousing approach, selected information is extracted in advance and stored in a repository. This approach is used because of its high performance. However, in many situations a logical (rather than physical) integration of data is preferable. Previous web-based data integration efforts have focused almost exclusively on the logical level of data models, creating a need for techniques focused on the conceptual level. Also, previous integration techniques for web-based data have not addressed the special needs of OLAP tools such as handling dimensions with hierarchies. Extensible Markup Language (XML) is fast becoming the new standard for data representation and exchange on the World Wide Web. The rapid emergence of XML data on the web, e.g., business-to-business (B2B) e-commerce, is making it necessary for OLAP and other data analysis tools to handle XML data as well as traditional data formats. Based on a real-world case study, this paper presents an approach to the conceptual specification of OLAP DBs based on web data. Unlike previous work, this approach takes special OLAP issues such as dimension hierarchies and correct aggregation of data into account. Additionally, an integration architecture that allows the logical integration of XML and relational data sources for use by OLAP tools is presented.