Research Article
Research on Big Data Ad Hoc Queries Technology Based on Social Network Information Cognitive Model
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@INPROCEEDINGS{10.1007/978-3-030-94554-1_16, author={Yang-bo Wu and Xi-liu Zhou and Ying Xu and Ming-xiu Wan and Lin Ying}, title={Research on Big Data Ad Hoc Queries Technology Based on Social Network Information Cognitive Model}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2022}, month={1}, keywords={Social network information cognitive model Ad hoc query Big data}, doi={10.1007/978-3-030-94554-1_16} }- Yang-bo Wu
Xi-liu Zhou
Ying Xu
Ming-xiu Wan
Lin Ying
Year: 2022
Research on Big Data Ad Hoc Queries Technology Based on Social Network Information Cognitive Model
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-94554-1_16
Abstract
In order to improve the efficiency of big data ad hoc query, a big data ad hoc query technology based on social network information cognitive model is designed. Firstly, the hierarchical structure of data query is established, then the dimension measurement and query conditions are determined, and the result analysis function is proposed. On this basis, the linkage update model of distributed multi database information resources is constructed, and finally the query data is clustered and stored, so as to realize on-the-spot big data query. The experimental results show that the research of big data ad hoc query technology effectively improves the query efficiency, and improves the accuracy of data query.
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