| Integrating Multi-Source Web Records into Relational Database |
| |
| 作者姓名： | HUANG Jianbin JI Hongbing SUN Heli |
| |
| 作者单位： | [1]School of Electronic Engineering, Xidian UniversitylXi＇an 710071, Shaanxi, China [2]School of Computer Science, Xidian University,Xi＇an 710071, Shaanxi, China [3]Department of Computer Science and Technology,Xi＇an Jiaotong University, Xi＇an 710049, Shaanxi, China |
| |
| 摘 要： | How to integrate heterogeneous semi-structured Web records into relational database is an important and challengeable research topic. An improved model of conditional random fields was presented to combine the learning of labeled samples and unlabeled database records in order to reduce the dependence on tediously hand-labeled training data. The pro- posed model was used to solve the problem of schema matching between data source schema and database schema. Experimental results using a large number of Web pages from diverse domains show the novel approach＇s effectiveness.
|
| 关 键 词： | Web 数据综合 数据挖掘 大纲匹配 条件随机场 |
| 文章编号： | 1007-1202（2006）05-1177-05 |
| 收稿时间： | 2006-03-20 |
Integrating multi-source Web records into relational database |
| |
| HUANG Jianbin JI Hongbing SUN Heli.Integrating Multi-Source Web Records into Relational Database[J].Wuhan University Journal of Natural Sciences,2006,11(5):1177-1181. |
| |
| Authors: | Huang Jianbin Ji Hongbing Sun Heli |
| |
| Institution: | (1) School of Electronic Engineering, Xidian University, 710071 Xi'an, Shaanxi, China;(2) School of Computer Science, Xidian University, 710071 Xi'an, Shaanxi, China;(3) Department of Computer Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, Shaanxi, China |
| |
| Abstract: | How to integrate heterogeneous semi-structured Web records into relational database is an important and challengeable research
topic. An improved model of conditional random fields was presented to combine the learning of labeled samples and unlabeled
database records in order to reduce the dependence on tediously hand-labeled training data. The proposed model was used to
solve the problem of schema matching between data source schema and database schema. Experimental results using a large number
of Web pages from diverse domains show the novel approach's effectiveness.
Foundation item: Supported by the National Defense Pre-Research Foundation of China (410105018)
Biography: HUANG Jianbin (1975-), male, Ph. D. candidate Lecturer, research directions: machine learning, Web mining. |
| |
| Keywords: | Web data integration schema matching conditional random fields |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
