Knowledge Management System Of Institute of process engineering,CAS
| Focused crawling for retrieving chemical information | |
| Xia, Z. J.; Guo, L.; Liang, C. Y.; Li, X. X.; Yang, Z. Y. | |
| 2007 | |
| Conference Name | 2nd International Workshop on Hybrid Artificial Intelligence Systems |
| Source Publication | ADVANCES IN SOFT COMPUTING Volume: 44 Pages: 433-438 |
| Pages | 433-438 |
| Conference Date | NOV, 2007 |
| Conference Place | Univ Salamanca, Salamanca, SPAIN |
| Publisher | Springer-Verlag Berlin |
| Abstract | The exponential growth of resources available in the Web has made it important to develop instruments to perform search efficiently. This paper proposes an approach for chemical information discovery by using focused crawling. The comparison of combination using various feature representations and classifier algorithms to implement focused crawlers was carried out. Latent Semantic Indexing (LSI) and Mutual Information (MI) were used to extract features from documents, while Naive Bayes (NB) and Support Vector Machines (SVM) were the selected algorithms to compute content relevance score. It was found that the combination of LSI and SVM provided the best solution. |
| URL | 查看原文 |
| Indexed By | ISTP |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.ipe.ac.cn/handle/122111/11255 |
| Collection | 研究所（批量导入） |
| Recommended Citation GB/T 7714 | Xia, Z. J.,Guo, L.,Liang, C. Y.,et al. Focused crawling for retrieving chemical information[C]:Springer-Verlag Berlin,2007:433-438. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Focused crawling for（9705KB） | 会议论文 | 限制开放 | CC BY-NC-SA | Application Full Text | ||
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