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Improving Enterprise Search in the Upstream Oil and Gas Industry by Automatic Query Expansion using a Non-probabilistic Knowledge Representation

by Paul H. Cleverley
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 1
Year of Publication: 2012
Authors: Paul H. Cleverley
10.5120/ijais12-450723

Paul H. Cleverley . Improving Enterprise Search in the Upstream Oil and Gas Industry by Automatic Query Expansion using a Non-probabilistic Knowledge Representation. International Journal of Applied Information Systems. 1, 1 ( November 2012), 25-32. DOI=10.5120/ijais12-450723

@article{ 10.5120/ijais12-450723,
author = { Paul H. Cleverley },
title = { Improving Enterprise Search in the Upstream Oil and Gas Industry by Automatic Query Expansion using a Non-probabilistic Knowledge Representation },
journal = { International Journal of Applied Information Systems },
issue_date = { November 2012 },
volume = { 1 },
number = { 1 },
month = { November },
year = { 2012 },
issn = { 2249-0868 },
pages = { 25-32 },
numpages = {9},
url = { https://www.ijais.org/archives/volume1/number1/311-0723/ },
doi = { 10.5120/ijais12-450723 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:41:02.003655+05:30
%A Paul H. Cleverley
%T Improving Enterprise Search in the Upstream Oil and Gas Industry by Automatic Query Expansion using a Non-probabilistic Knowledge Representation
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 1
%N 1
%P 25-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Organizations face a vocabulary disconnect between the terminology people use in search and the inherent ambiguity of terminology in their information. The mismatch leads to critical information being missed. This paper discusses how Boolean keyword search, the most commonly used approach in Enterprise search, compares with automatic Query Expansion (QE) using a non-probabilistic Knowledge Representation (KR) created independently of the corpus.

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Index Terms

Computer Science
Information Sciences

Keywords

Enterprise search Web Digital Library Query Expansion Knowledge Representation Information Retrieval Semantic Ambiguity Taxonomy Ontology Combinatorial Linguistic Explosion Petroleum Exploration and Production (E&P)