@article {10.3844/jcssp.2016.455.463,
article_type = {journal},
title = {An Ontological Crawling Approach for Improving Information Aggregation over eGovernment Websites},
author = {Santoso, Heru Agus and Zeniarja, Junta and Luthfiarta, Ardytha and Wijaya, Bima Jati},
volume = {12},
number = {9},
year = {2016},
month = {Nov},
pages = {455-463},
doi = {10.3844/jcssp.2016.455.463},
url = {https://thescipub.com/abstract/jcssp.2016.455.463},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}