On mapping natural language constructs into relational algebra through E-R representation
Data & Knowledge Engineering
Conceptual modeling for ETL processes
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Naive Semantics to Support Automated Database Design
IEEE Transactions on Knowledge and Data Engineering
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Aggregation in Natural Language Generation
EWNLG '93 Selected papers from the Fourth European Workshop on Trends in Natural Language Generation, An Artificial Intelligence Perspective
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Dealing with Semantic Heterogeneity During Data Integration
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
Mapping conceptual to logical models for ETL processes
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Natural language processing: mature enough for requirements documents analysis?
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Generating tailored textual summaries from ontologies
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Natural language reporting for ETL processes
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
ETL workflows: from formal specification to optimization
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
Ontology-Driven conceptual design of ETL processes using graph transformations
Journal on Data Semantics XIII
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The design of an Extract - Transform - Load (ETL) workflow for the population of a Data Warehouse is a complex and challenging procedure. In previous work, we have presented an ontology-based approach to facilitate the conceptual design of an ETL scenario. In this paper, we elaborate on this work, by investigating the application of Natural Language (NL) techniques to the ETL environment and we present a flexible and customizable template-based mechanism for generating natural language representations for the ETL process requirements and operations.