title: Clinic expert information extraction based on domain model and block importance model.
abstract: To extract expert clinic information from the Deep Web, there are two challenges to face. The first one is to make a judgment on forms. A novel method based on a domain model, which is a tree structure constructed by the attributes of query interfaces is proposed. With this model, query interfaces can be classified to a domain and filled in with domain keywords. Another challenge is to extract information from response Web pages indexed by query interfaces. To filter the noisy information on a Web page, a block importance model is proposed, both content and spatial features are taken into account in this model. The experimental results indicate that the domain model yields a precision 4.89% higher than that of the rule-based method, whereas the block importance model yields an F1 measure 10.5% higher than that of the XPath method.
authors.affiliation: Department of Medical Informatics, Medical School, Nantong University, 19 Qixiu Road, Nantong 226001, Jiangsu Province, China.
authors.forename: Yuanpeng
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Research Center of Clinical Medicine, Affiliated Hospital Nantong University, Nantong 226001, China.
authors.forename: Li
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Medical Informatics, Medical School, Nantong University, 19 Qixiu Road, Nantong 226001, Jiangsu Province, China.
authors.forename: Danmin
authors.initials: D
authors.lastname: Qian
authors.affiliation: Department of Medical Informatics, Medical School, Nantong University, 19 Qixiu Road, Nantong 226001, Jiangsu Province, China.
authors.forename: Xingyun
authors.initials: X
authors.lastname: Geng
authors.affiliation: Research Center of Clinical Medicine, Affiliated Hospital Nantong University, Nantong 226001, China.
authors.forename: Dengfu
authors.initials: D
authors.lastname: Yao
authors.affiliation: Department of Medical Informatics, Medical School, Nantong University, 19 Qixiu Road, Nantong 226001, Jiangsu Province, China. Electronic address: dongjc@ntu.edu.cn.
authors.forename: Jiancheng
authors.initials: J
authors.lastname: Dong
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D057225:Data Mining / Q000379:methods; D006761:Hospitals; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D008490:Medical Informatics / Q000379:methods; D015203:Reproducibility of Results; D060388:Support Vector Machine
keywords: Block importance model; Clinic expert information; Domain model; Information extraction; SVM