Semantically Enhanced Passage Retrieval for Business Analysis Activity

Vinhtuan Thai; Brian Davis; Sean Ó Riain; David O'Sullivan; Siegfried Handschuh

doi:10.13025/21002

Semantically Enhanced Passage Retrieval for Business Analysis Activity

Vinhtuan Thai
, Brian Davis
, Sean Ó Riain
, David O'Sullivan
, Siegfried Handschuh

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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.

Original language	English (Ireland)
Title of host publication	Proceedings of the 16th European Conference on Information Systems (Semantic Web and IS Track)
Place of Publication	Galway, Ireland
DOIs	https://doi.org/10.13025/21002
Publication status	Published - 1 Jun 2008

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10.13025/21002Licence: CC BY-NC-ND

PassageRetrieval-ECIS2008Accepted author manuscript, 214 KBLicence: CC BY-NC-ND

Cite this

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title = "Semantically Enhanced Passage Retrieval for Business Analysis Activity",

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.",

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AU - Thai, Vinhtuan

AU - Davis, Brian

AU - Ó Riain, Sean

AU - O'Sullivan, David

AU - Handschuh, Siegfried

PY - 2008/6/1

Y1 - 2008/6/1

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10379/450

U2 - 10.13025/21002

DO - 10.13025/21002

M3 - Conference Publication

BT - Proceedings of the 16th European Conference on Information Systems (Semantic Web and IS Track)

CY - Galway, Ireland

ER -

Semantically Enhanced Passage Retrieval for Business Analysis Activity

Abstract

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