JIPS (한국정보처리학회)
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| 한글제목(Korean Title) |
Automatic In-Text Keyword Tagging based on Information Retrieval |
| 영문제목(English Title) |
Automatic In-Text Keyword Tagging based on Information Retrieval |
| 저자(Author) |
Jinsuk Kim
Duseok Jin
KwangYoung Kim
Hoseop Cho
|
| 원문수록처(Citation) |
VOL 05 NO. 03 PP. 0159 ~ 0166 (2009. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
As shown in Wikipedia, tagging or cross-linking through
major keywords in a document collection improves not only
the readability of documents but also responsive and
adaptive navigation among related documents. In recent
years, the Semantic Web has increased the importance of
social tagging as a key feature of the Web 2.0 and, as its
crucial phenotype, Tag Cloud has emerged to the
public. In this paper we provide an efficient method of
automated in-text keyword tagging based on
large-scale controlled term collection or keyword
dictionary, where the computational complexity of
O(mN) ?if a pattern matching algorithm is used ?can be
reduced to O(mlogN) ?if an Information Retrieval
technique is adopted ?while m is the length of target
document and N is the total number of candidate terms to
be tagged. The result shows that automatic in-text tagging
with keywords filtered by Information Retrieval speeds up
to about 6 ~ 40 times compared with the fastest pattern
matching algorithm. |
| 키워드(Keyword) |
Automatic In-Text Keyword Tagging
Pattern Matching
Boyer-Moore-Horspool Algorithm
Information Retrieval
Keyword Dictionary
Cross-Referencing
in-text content link
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| 파일첨부 |
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