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Reseach Article
An Agent-based Meta-Search Engine Architecture for Open Government Datasets Search
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 4 - Number 7 |
| Year of Publication: 2016 |
| Authors: S.M. Hasan Mahmud, Md. Fazle Rabbi, Kazihise Ntikurako Guy-Fernand |
10.5120/cae2016652131
|
S.M. Hasan Mahmud, Md. Fazle Rabbi, Kazihise Ntikurako Guy-Fernand . An Agent-based Meta-Search Engine Architecture for Open Government Datasets Search. Communications on Applied Electronics. 4, 7 ( March 2016), 21-25. DOI=10.5120/cae2016652131
Abstract
Recently, Most of the countries are publishing their government data in the Web as datasets. A large number of datasets (HTML, CSV, RDF, XML, JSON, Excel, and PDF etc), catalogs and portals (data.gov, data.gov.uk, data.gov.au etc) are emerging in the Science and Government sector. Open Government Data drives in the US, UK and elsewhere have created hung amounts of government data available to the public on the web. A large number of datasets are published on government data portals, the question arises how to get datasets satisfying from government data portals with the least effort. However in many cases, a single search result is not sufficient to meet the user’s query and it is necessary to create a new service platform by combining existing government catalogs search. In this paper we proposed a meta- search architecture that will integrate different dataset catalogs search interface and collected datasets from different open government data catalogs and display higher results. In this proposed architecture have search interface provides a scalable and recognizable solution for finding Open Government datasets from open government data catalogs. Thus, the propose meta-search architecture improves the usability and effectively of open government datasets search.
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