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Semantically Enhanced Passage Retrieval for Business Analysis Activity

ARAN - Access to Research at NUI Galway

Show simple item record Thai, VinhTuan en Davis, Brian en O'Riain, Sean en O'Sullivan, David en Handschuh, Siegfried en 2009-11-30T10:27:51Z en 2009-11-30T10:27:51Z en 2008 en
dc.identifier.citation VinhTuan Thai, Brian Davis, Sean O'Riain, David O'Sullivan, Siegfried Handschuh "Semantically Enhanced Passage Retrieval for Business Analysis Activity", Proceedings of the 16th European Conference on Information Systems (ECIS 2008), 2008. en
dc.identifier.uri en
dc.description.abstract Business analysis activity often involves the identification and extraction of information from business reports. The unstructured content of business reports poses a challenge to current Business Intelligence technologies. In this paper, we present an application that provides passage retrieval capability, which has been developed for use in business analysis activity at Hewlett-Packard¿ (HP). Preliminary evaluation of the application indicates that the inclusion of domain knowledge such as domain semantics and business intelligence rules plays an important part in system performance. It dramatically reduces the time that analysts spend extracting relevant informative passages within a report or business intelligence. In addition, it can find further relevant information that would have been overlooked by the analyst. en
dc.format application/pdf en
dc.language.iso en en
dc.subject Business analysis en
dc.subject Passage retrieval en
dc.subject Semantic technology en
dc.subject.lcsh Business requirements analysis en
dc.subject.lcsh Information retrieval en
dc.title Semantically Enhanced Passage Retrieval for Business Analysis Activity en
dc.type Conference paper en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder Science Foundation Ireland en

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