HEAL DSpace

Natural language reporting for ETL processes

Αποθετήριο DSpace/Manakin

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dc.contributor.author Simitsis, A en
dc.contributor.author Skoutas, D en
dc.contributor.author Castellanos, M en
dc.date.accessioned 2014-03-01T02:45:40Z
dc.date.available 2014-03-01T02:45:40Z
dc.date.issued 2008 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32324
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 Customizable en
dc.subject.other ETL en
dc.subject.other ETL process en
dc.subject.other Extract transform loads en
dc.subject.other Linguistic techniques en
dc.subject.other Natural language en
dc.subject.other Natural Language Generation techniques en
dc.subject.other Natural language representation en
dc.subject.other Natural languages en
dc.subject.other Semantic Web technology en
dc.subject.other Template-based en
dc.subject.other Conceptual design en
dc.subject.other Knowledge management en
dc.subject.other Knowledge representation en
dc.subject.other Linguistics en
dc.subject.other Metadata en
dc.subject.other Multi agent systems en
dc.subject.other Ontology en
dc.subject.other Semantic Web en
dc.subject.other Semantics en
dc.subject.other Data warehouses en
dc.title Natural language reporting for ETL processes en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1458432.1458444 en
heal.identifier.secondary http://dx.doi.org/10.1145/1458432.1458444 en
heal.publicationDate 2008 en
heal.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. Copyright 2008 ACM. en
heal.journalName DOLAP: Proceedings of the ACM International Workshop on Data Warehousing and OLAP en
dc.identifier.doi 10.1145/1458432.1458444 en
dc.identifier.spage 65 en
dc.identifier.epage 72 en


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