Data Extraction and Annotation Based on Domain-specific Ontology Evolution for Deep Web

Computer Science and Information Systems

Chen Kerui¹  Zuo Wanli² 

[1] College of Computer Science and Technology, Jilin University;School of Computer Science and Technology, Changchun University of Science and Technology

关键词: Deep Web;    Data Extraction;    Data Annotation;    Domain Ontology;    Ontology Evolution;   

DOI  :  10.2298/CSIS101011023K

学科分类：社会科学、人文和艺术（综合）

来源: Computer Science and Information Systems

【 摘 要 】

Deep web respond to a user query result records encoded in HTML files. Data extraction and data annotation, which are important for many applications, extracts and annotates the record from the HTML pages. We proposed an domain-specific ontology based data extraction and annotation technique; we first construct mini-ontology for specific domain according to information of query interface and query result pages; then, use constructed mini-ontology for identifying data areas and mapping data annotations in data extraction; in order to adapt to new sample set, mini-ontology will evolve dynamically based on data extraction and data annotation. Experimental results demonstrate that this method has higher precision and recall in data extraction and data annotation.

【 授权许可】

CC BY-NC-ND