Toward a user-centered approach to enhance Data discoverability on Open Government Data portals

被引:0
|
作者
Younsi Dahbi, Kawtar [1 ]
Lamharhar, Hind [1 ]
Chiadmi, Dalila [1 ]
机构
[1] Mohammed V Univ, Mohamadia Sch Engineers, Rabat, Morocco
关键词
Open Government Data; Recommendation; Discoverability;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Governments started adopting Open Government Data (OGD) initiatives by publishing their government data on national portals. The main benefit of creating such portals is to fuel OGD reusability by facilitating the discovery and reuse of existing data sets by different actors. However, the number of available OGD datasets has increased significantly with pressure being put on government agencies to publish their data. This makes the task of discovering relevant datasets difficult and time-consuming and hinder consequently the reuse of OGD. Therefore, reinforcing OGD portals with tools to improve data discoverability by proposing relevant content to the user's needs can improve the reuse of OGD. For this purpose, we propose, in this paper, an approach to enhance data discoverability on OGD portals. Our approach aims to guide the user in a personalized way to interesting and useful information to proposing relevant datasets tailored to its interests
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页数:5
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