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A Novel Data Integration Framework Based on Unified Concept Model
Ma, B (Ma, Bo); Jiang, TH (Jiang, Tonghai); Zhou, X (Zhou, Xi); Zhao, F (Zhao, Fan); Yang, YT (Yang, Yating); Yang, YT
2017
发表期刊IEEE ACCESS
卷号5期号:2页码:5713-5722
摘要Nowadays, data is being generated, collected, and analyzed at an unprecedented scale, data integration is the problem of combining data from heterogeneous, autonomous data sources, and providing users with a unified view of integrated data. To design a data integration framework, we need to address challenges, such as schema mapping, data cleaning, record linkage, and data fusion. In this paper, we briefly introduce the traditional data integration approaches, and then, a novel graph-based data integration framework based on unified concept model (UCM) is proposed to address real-world refueling data integration problems. Within this framework, schema mapping was carried out and metadata from heterogeneous sources is integrated in a UCM. UCM has the benefits of being easy to update. It is also important for effective schema mapping and data transformation. By following the structure of UCM, data from different sources is automatically transformed into instance data and linked together by using semantic similarity computation metrics, finally the data is stored in graph database. Experiments are carried out based on heterogeneous data from refueling records, social networks of astroturfers, and vehicle trajectories. Experimental results and reference implementation demonstrations show good precision and recall of the proposed framework.
关键词Data Integration Schema Mapping Graph Model Semantic Similarity Computation
DOI10.1109/ACCESS.2017.2672822
收录类别SCI
WOS记录号WOS:000401431300061
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.xjipc.cas.cn/handle/365002/4801
专题多语种信息技术研究室
通讯作者Yang, YT
作者单位1.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China
2.Chinese Acad Sci, Xinjiang Lab Minor Speech & Language Informat Pro, Urumqi 830011, Peoples R China
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Ma, B ,Jiang, TH ,Zhou, X ,et al. A Novel Data Integration Framework Based on Unified Concept Model[J]. IEEE ACCESS,2017,5(2):5713-5722.
APA Ma, B ,Jiang, TH ,Zhou, X ,Zhao, F ,Yang, YT ,&Yang, YT.(2017).A Novel Data Integration Framework Based on Unified Concept Model.IEEE ACCESS,5(2),5713-5722.
MLA Ma, B ,et al."A Novel Data Integration Framework Based on Unified Concept Model".IEEE ACCESS 5.2(2017):5713-5722.
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