Flexible and customizable NL representation of requirements for ETL processes

Skoutas, D; Simitsis, A

dc.contributor.author	Skoutas, D	en
dc.contributor.author	Simitsis, A	en
dc.date.accessioned	2014-03-01T02:44:38Z
dc.date.available	2014-03-01T02:44:38Z
dc.date.issued	2007	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31919
dc.subject	Conceptual model	en
dc.subject	Data warehouses	en
dc.subject	ETL	en
dc.subject	Metadata	en
dc.subject	Natural language	en
dc.subject	Ontologies	en
dc.subject	Semantic web	en
dc.subject.other	Conceptual model	en
dc.subject.other	Data warehouses	en
dc.subject.other	Metadata	en
dc.subject.other	Ontology	en
dc.subject.other	Semantic Web	en
dc.subject.other	Natural language processing systems	en
dc.title	Flexible and customizable NL representation of requirements for ETL processes	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-73351-5_42	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-73351-5_42	en
heal.publicationDate	2007	en
heal.abstract	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. © Springer-Verlag Berlin Heidelberg 2007.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-73351-5_42	en
dc.identifier.volume	4592 LNCS	en
dc.identifier.spage	433	en
dc.identifier.epage	439	en