Abstract
Most information retrieval systems use keywords entered by the user as the search criteria to find documents. However, the language used in documents is often complicated and ambiguous, and thus the results obtained by using keywords are often inaccurate. To address this problem, this study developed a semantic-based content mapping mechanism for an information retrieval system. This approach employs the semantic features and ontological structure of the content as the basis for constructing a content map, thus simplifying the search process and improving the accuracy of the returned results.
| Original language | English |
|---|---|
| Pages (from-to) | 2447-2461 |
| Number of pages | 15 |
| Journal | Expert Systems With Applications |
| Volume | 40 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 2013 Jun 1 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science Applications
- Artificial Intelligence
Cite this
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Development of a semantic-based content mapping mechanism for information retrieval. / Pai, Mao Yuan; Chen, Ming Yen; Chu, Hui Chuan; Chen, Yuh-Min.
In: Expert Systems With Applications, Vol. 40, No. 7, 01.06.2013, p. 2447-2461.Research output: Contribution to journal › Article
TY - JOUR
T1 - Development of a semantic-based content mapping mechanism for information retrieval
AU - Pai, Mao Yuan
AU - Chen, Ming Yen
AU - Chu, Hui Chuan
AU - Chen, Yuh-Min
PY - 2013/6/1
Y1 - 2013/6/1
N2 - Most information retrieval systems use keywords entered by the user as the search criteria to find documents. However, the language used in documents is often complicated and ambiguous, and thus the results obtained by using keywords are often inaccurate. To address this problem, this study developed a semantic-based content mapping mechanism for an information retrieval system. This approach employs the semantic features and ontological structure of the content as the basis for constructing a content map, thus simplifying the search process and improving the accuracy of the returned results.
AB - Most information retrieval systems use keywords entered by the user as the search criteria to find documents. However, the language used in documents is often complicated and ambiguous, and thus the results obtained by using keywords are often inaccurate. To address this problem, this study developed a semantic-based content mapping mechanism for an information retrieval system. This approach employs the semantic features and ontological structure of the content as the basis for constructing a content map, thus simplifying the search process and improving the accuracy of the returned results.
UR - http://www.scopus.com/inward/record.url?scp=84873132653&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873132653&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2012.10.056
DO - 10.1016/j.eswa.2012.10.056
M3 - Article
VL - 40
SP - 2447
EP - 2461
JO - Expert Systems with Applications
JF - Expert Systems with Applications
SN - 0957-4174
IS - 7
ER -