An Ontological Crawling Approach for Improving Information Aggregation over eGovernment Websites | Science Publications

Journal of Computer Science

Ardytha Luthfiarta¹  Junta Zeniarja¹  Heru Agus Santoso¹  Bima Jati Wijaya¹ 

关键词: E-Government;    Information Aggregation;    Focused Crawler;    Semantic Web;    Ontology;   

DOI  :  10.3844/jcssp.2016.455.463

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

E-Government applications in developing countries are still lagging behind e-Governments in advanced countries. For example, the use of information integration for Web portal content is still very limited. This paper proposes an automated approach for information aggregation over   e-Government portals using ontological approach. The study uses data obtained from 10 local government Websites in the Central Java province-Indonesia. The data in the form of HTML Web document text, meta-data, hyperlinks and other rich-contents are effectively crawled. This paper focuses on the development of a crawler, which consists of two main modules, i.e., multi-tread downloader and scheduler. The use of ontology in the focused crawler producesamore effective result as compared to the Breadth First Search (BFS) approach as it reaches 37% of effectiveness in terms of the number of relevant documents downloaded.

【 授权许可】

Unknown