This item is licensed Korea Open Government License
dc.contributor.author
황명권
dc.contributor.author
정도헌
dc.contributor.author
Sajjad Mazhar
dc.contributor.author
김진형
dc.contributor.author
송사광
dc.contributor.author
정한민
dc.date.accessioned
2019-08-28T07:41:36Z
dc.date.available
2019-08-28T07:41:36Z
dc.date.issued
2014-12-31
dc.identifier.issn
1335-9150
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14343
dc.description.abstract
An acronym is an abbreviation of several words in such a way that the abbreviation itself forms a pronounceable word. Acronyms occur frequently throughout various documents, especially those of a technical nature, for example, research papers and patents. While these acronyms can enhance document readability, in a variety of fields, they have a negative effect on business intelligence. To resolve this problem, we propose a method of acronym-expansion disambiguation to collect high-quality enterprise information. In experimental evaluations, we demonstrate its efficiency through the use of objective comparisons.
dc.language
eng
dc.relation.ispartofseries
Computing and Informatics
dc.title
Acronym-Expansion Disambiguation for Interlligent Processing of Enterprise Information