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  1. Proceedings of the ACM 11th international workshop on Data warehousing and OLAP (DOLAP '08)
  2. Natural language reporting for ETL processes
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Histogram-aware sorting for enhanced word-aligned compression in bitmap indexes
A set of aggregation functions for spatial measures
Estimating and bounding aggregations in databases with referential integrity errors
A framework for recommending OLAP queries
Data mining-based fragmentation of XML data warehouses
Improving estimation accuracy of aggregate queries on data cubes
Solving summarizability problems in fact-dimension relationships for multidimensional models
Semantic enrichment of strategic datacubes
Transaction reordering with application to synchronized scans
Efficient OLAP with UDFs
Natural language reporting for ETL processes
Bridging the semantic gap in OLAP models: platform-independent queries

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Natural language reporting for ETL processes

Content Provider ACM Digital Library
Author Simitsis, Alkis Skoutas, Dimitrios Castellanos, MalĂș
Abstract The conceptual design of the Extract -- Transform -- Load (ETL) processes is a crucial, burdensome, and challenging procedure that takes places at the early phases of a Data Warehouse project. Several models have been proposed for the conceptual design and representation of ETL processes, but all share two inconveniences: they require intensive human effort from the designers to create them, as well as technical knowledge from the business people to understand them. In a previous work, we have relaxed the former difficulty by working on the automation of the conceptual design leveraging Semantic Web technology. In this paper, we built upon our previous results and we tackle the second issue by investigating the application of natural language generation techniques to the ETL environment. In particular, we provide a method for the representation of a conceptual ETL design as a narrative, which is the most natural means of communication and does not require knowledge of any specific model. We discuss how linguistic techniques can be used for the establishment of a common application vocabulary. Finally, we present a flexible and customizable template-based mechanism for generating natural language representations for the ETL process requirements and operations.
Starting Page 65
Ending Page 72
Page Count 8
File Format PDF
ISBN 9781605582504
DOI 10.1145/1458432.1458444
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-10-30
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Semantic web Data warehouses Metadata Ontologies Natural language Etl Conceptual model
Content Type Text
Resource Type Article
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