Research on Discovering Deep Web Entries

Computer Science and Information Systems

Ying Wang¹  Wanli Zuo²  Fengling He³  Huilai Li⁴ 

[1] College of Computer Science and Technology, Jilin University;College of Mathematics, Jilin University;College of Software, Changchun Institute of Technology,;Key Laboratory of Computation and Knowledge Engineering,

关键词: Deep Web;    ontology;    WPC;    FSC;    FCC;   

DOI  :  10.2298/CSIS100322028W

学科分类：社会科学、人文和艺术（综合）

来源: Computer Science and Information Systems

【 摘 要 】

Ontology plays an important role in locating Domain-Specific Deep Web contents, therefore, this paper presents a novel framework WFF for efficiently locating Domain-Specific Deep Web databases based on focused crawling and ontology by constructing Web Page Classifier(WPC), Form Structure Classifier(FSC) and Form Content Classifier(FCC) in a hierarchical fashion. Firstly, WPC discovers potentially interesting pages based on ontology-assisted focused crawler. Then, FSC analyzes the interesting pages and determines whether these pages subsume searchable forms based on structural characteristics. Lastly, FCC identifies searchable forms that belong to a given domain in the semantic level, and stores these URLs of Domain-Specific searchable forms to a database. Through a detailed experimental evaluation, WFF framework not only simplifies discovering process, but also effectively determines Domain-Specific databases.

【 授权许可】

CC BY-NC-ND