Index structures for structured documents
Proceedings of the first ACM international conference on Digital libraries
High performance multidimensional analysis of large datasets
Proceedings of the 1st ACM international workshop on Data warehousing and OLAP
Foundations of statistical natural language processing
Foundations of statistical natural language processing
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Designing Web Usability: The Practice of Simplicity
Designing Web Usability: The Practice of Simplicity
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Accelerating XPath location steps
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Storing and querying ordered XML using a relational database system
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Statistical Language Learning
Multidimensional Database Technology
Computer
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Spatio-Temporal Retrieval with RasDaMan
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
On the Computation of Multidimensional Aggregates
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
DocCube: multi-dimensional visualisation and exploration of large document sets
Journal of the American Society for Information Science and Technology
Maintaining order in a linked list
STOC '82 Proceedings of the fourteenth annual ACM symposium on Theory of computing
Multidimensional Data Modeling for Complex Data
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
A Prime Number Labeling Scheme for Dynamic Ordered XML Trees
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Text analysis and knowledge mining system
IBM Systems Journal
A text-mining system for knowledge discovery from biomedical documents
IBM Systems Journal
VLEI Code: An Efficient Labeling Method for Handling XML Documents in an RDB
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A relevance-extended multi-dimensional model for a data warehouse contextualized with documents
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Efficiently linking text documents with relevant structured information
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
IR and OLAP in XML document warehouses
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
iNextCube: information network-enhanced text cube
Proceedings of the VLDB Endowment
Text-to-query: dynamically building structured analytics to illustrate textual content
Proceedings of the 2010 EDBT/ICDT Workshops
OLAP operators for complex object data cubes
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Interesting-phrase mining for ad-hoc text analytics
Proceedings of the VLDB Endowment
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There are increasingly visible demands for structured/ unstructured information integration and advanced analytics. However, conventional database technology has not been able to present a robust and practical implementation of a truly integrated architecture for such purposes. After working on several industrial applications (in particular, in the healthcare and life sciences area), we have identified fundamental issues and technical approaches to tackle the issues. In this paper, we propose data representations and algebraic operations for integrating semantic information (e.g., ontologies) into OLAP systems, which allow us to analyze a huge set of textual documents with their underlying semantic information. The performance of the prototype implementation has been evaluated using real world datasets, and the high scalability and flexibility of our approach have been confirmed with respect to the computation time.