XRANK: ranked keyword search over XML documents
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
BusinessObjects XI (Release 2): The Complete Reference
BusinessObjects XI (Release 2): The Complete Reference
Bidirectional expansion for keyword search on graph databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Efficiently linking text documents with relevant structured information
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Spark: top-k keyword query in relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A method for online analytical processing of text data
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Integrating Data Warehouses with Web Data: A Survey
IEEE Transactions on Knowledge and Data Engineering
Multidimensional content eXploration
Proceedings of the VLDB Endowment
Enhanced Business Intelligence using EROCS
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
XOntoRank: Ontology-Aware Search of Electronic Medical Records
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Mining document collections to facilitate accurate approximate entity matching
Proceedings of the VLDB Endowment
Learning string transformations from examples
Proceedings of the VLDB Endowment
A context model for personal knowledge management applications
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
A framework for semantic recommendations in situational applications
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
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Successfully structuring information in databases, OLAP cubes, and XML is a crucial element in managing data nowadays. However this process brought new challenges to usability. It is difficult for users to switch from common communication means using natural language to data models (e.g., database schemas) that are hard to work with and understand, especially for occasional users. This important issue is under intense scrutiny in the database community (e.g., keyword search over databases and query relaxation techniques), and the information extraction community (e.g., linking structured and unstructured data). However, there is still no comprehensive solution that automatically generates an OLAP (Online Analytical Processing) query and chooses a visualization based on textual content with high precision. We present such a method. We discuss how to dynamically generate interpretations of a textual content as an OLAP query, select the best visualization, and retrieve on the fly corresponding data from a data warehouse. To provide the most relevant aggregation results, we consider the user's actual context, described by a document's content. Moreover we provide a prototypical implementation of our method, the Text-To-Query system (T2Q) and show how T2Q can be successfully applied to an enterprise scenario as an extension for an office application.