Abstract
Automated discovery and extraction of biological knowledge from biomedical web documents has become essential because of the enormous amount of biomedical literature published each year, In this paper we present an ontology-based scalable and portable information extraction system to automatically extract biological knowledge from huge collection of online biomedical web documents. Our method integrates ontology-based semantic tagging, information extraction and data mining together, automatically learns the patterns based on a few user seed tuples, and then extract new tuples from the biomedical web documents based on the discovered patterns. A novel system SPIE (Scalable and Portable Information Extraction) is implemented and tested on the PuBMed to find the chromatin protein-protein interaction and the experimental results indicate our approach is very effective in extracting biological knowledge from huge collection of biomedical web documents.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 |
| Editors | N. Zhong, H. Tirri, Y. Yao, L. Zhou |
| Pages | 77-83 |
| Number of pages | 7 |
| Publication status | Published - 2004 Dec 1 |
| Event | Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 - Beijing, China Duration: 2004 Sep 20 → 2004 Sep 24 |
Publication series
| Name | Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 |
|---|
Other
| Other | Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 04/9/20 → 04/9/24 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
}
Ontology-based scalable and portable information extraction system to extract biological knowledge from huge collection of biomedical Web documents. / Hu, Xiaohua; Lin, T. Y.; Song, Il Yeol; Lin, Xia; Yoo, Illhoi; Lechner, Mark; Song, Min.
Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. ed. / N. Zhong; H. Tirri; Y. Yao; L. Zhou. 2004. p. 77-83 (Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Ontology-based scalable and portable information extraction system to extract biological knowledge from huge collection of biomedical Web documents
AU - Hu, Xiaohua
AU - Lin, T. Y.
AU - Song, Il Yeol
AU - Lin, Xia
AU - Yoo, Illhoi
AU - Lechner, Mark
AU - Song, Min
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Automated discovery and extraction of biological knowledge from biomedical web documents has become essential because of the enormous amount of biomedical literature published each year, In this paper we present an ontology-based scalable and portable information extraction system to automatically extract biological knowledge from huge collection of online biomedical web documents. Our method integrates ontology-based semantic tagging, information extraction and data mining together, automatically learns the patterns based on a few user seed tuples, and then extract new tuples from the biomedical web documents based on the discovered patterns. A novel system SPIE (Scalable and Portable Information Extraction) is implemented and tested on the PuBMed to find the chromatin protein-protein interaction and the experimental results indicate our approach is very effective in extracting biological knowledge from huge collection of biomedical web documents.
AB - Automated discovery and extraction of biological knowledge from biomedical web documents has become essential because of the enormous amount of biomedical literature published each year, In this paper we present an ontology-based scalable and portable information extraction system to automatically extract biological knowledge from huge collection of online biomedical web documents. Our method integrates ontology-based semantic tagging, information extraction and data mining together, automatically learns the patterns based on a few user seed tuples, and then extract new tuples from the biomedical web documents based on the discovered patterns. A novel system SPIE (Scalable and Portable Information Extraction) is implemented and tested on the PuBMed to find the chromatin protein-protein interaction and the experimental results indicate our approach is very effective in extracting biological knowledge from huge collection of biomedical web documents.
UR - http://www.scopus.com/inward/record.url?scp=15544373800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=15544373800&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:15544373800
SN - 0769521002
SN - 9780769521008
T3 - Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
SP - 77
EP - 83
BT - Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
A2 - Zhong, N.
A2 - Tirri, H.
A2 - Yao, Y.
A2 - Zhou, L.
ER -