Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
XIRQL: a query language for information retrieval in XML documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Modern Information Retrieval
Xyleme: A Dynamic Warehouse for XML Data of the Web
IDEAS '01 Proceedings of the International Database Engineering & Applications Symposium
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Web Warehousing: Design and Issues
ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
Gathering Metadata from Web-Based Repositories of Historical Publications
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Towards integrative enterprise knowledge portals
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Extending XQuery for analytics
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
MDX Solutions: with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
MDX Solutions: with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
XML-OLAP: a multidimensional analysis framework for XML warehouses
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
IR and OLAP in XML document warehouses
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Warehousing the world: a few remaining challenges
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
A relevance model for a data warehouse contextualized with documents
Information Processing and Management: an International Journal
Finding an application-appropriate model for XML data warehouses
Information Systems
Context-aware generalization for cube measures
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Toward total business intelligence incorporating structured and unstructured data
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Integrating web feed opinions into a corporate data warehouse
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Model-driven restricted-domain adaptation of question answering systems for business intelligence
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Towards an on-line analysis of tweets processing
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Daisy: the center for data-intensive systems at Aalborg University
ACM SIGMOD Record
Beyond search: Retrieving complete tuples from a text-database
Information Systems Frontiers
Storing and analysing voice of the market data in the corporate data warehouse
Information Systems Frontiers
CXT-cube: contextual text cube model and aggregation operator for text OLAP
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
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Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, the user first selects an analysis context by supplying some keywords. Then, the analysis is performed on a novel type of OLAP cube, called an R-cube, which is materialized by retrieving and ranking the documents and corporate facts related to the selected context.