标题:A Keyword-Driven Data Service Mashup Plan Generation Approach for Ad-Hoc Data Query
作者:Chen, Xin ;Han, Yanbo ;Wen, Yan ;Zhang, Feng ;Liu, Wei
作者机构:[Chen, Xin ;Han, Yanbo ;Wen, Yan ;Zhang, Feng ;Liu, Wei ] Shandong University of Science and Technology, Qingdao, Shandong Province, China;[Han, Yanbo 更多
会议名称:14th IEEE International Conference on Services Computing, SCC 2017
会议日期:June 25, 2017 - June 30, 2017
来源:Proceedings - 2017 IEEE 14th International Conference on Services Computing, SCC 2017
出版年:2017
页码:394-401
DOI:10.1109/SCC.2017.57
摘要:Though there are some existing data service mashup tools, it is still challenging for novice end users to develop data service mashup to solve data query problem in the situational and ad-hoc business scenario. This paper focuses on the problem of recommending data service mashup plans under the condition that 1) the mashup plan cannot be determined in advance and 2) user simple request description. In our approach, some keywords are allowed as input and then the Top-K data service mashup plans are generated as output. This paper analyzes the problem with a motivating scenario, introduces the core definitions and proposes an approach to creating data service mashup plans. Inspired by the idea of keyword query in structured data, the ACOQT algorithm for generating Top-K data service composition sequence is proposed. Based on the data service and data service operator model defined, the method of configuration data service operator is presented. Experiment results show that the approach of data service mashup plan creation is effective.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
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