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A Study on Academic Literature Resource Aggregation and Decision Support Service in Vertical Domain

文献类型: 会议论文

第一作者: Minjuan Liu

作者: Minjuan Liu 1 ; Hao Jiang 1 ; Jinyu Zhang 1 ; Yuefei Wang 1 ; Xue Yuan 1 ; Bowen Hao 1 ;

作者机构: 1.Agricultural Information Institute of Chinese Academy Of Agricultural Sciences, Beijing, China

关键词: Information resources;Instruments;Decision making;Information services;Agriculture;Data models;Proposals

会议名称: IEEE International Conference on Software Engineering and Service Science

主办单位:

页码: 279-284

摘要: Due to an exponential increase in the number of academic literature resources, difficulty in resource integration and utilization becomes even greater. Especially, aggregation of academic literature resources of different sources, in different formats and at diverse granularities is now confronted with new challenges. At present, industrial users have put forward a requirement of rapidly acquiring high quality information resources. To meet this requirement, we explored a vertical domain oriented information aggregation model. By virtue of this model, it is expected to solve relevant integration and sharing problems such as “Data resources + Instrumental methods + Industrial wisdom + Service decision-making” on one hand, and realize rapid acquisition and effective utilization of information resources in specific domains on the other hand. Now, the model has been successfully applied in China's “Foreign Agriculture Cooperation Public Information Service Platform”; and good results have been achieved.

分类号: tp311.5-53

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