| Wang Min（王珉）,Wang Yongbin,Li Ying.[J].高技术通讯(英文),2016,22(2):224~232 |
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| SCMR: a semantic-based coherence micro-cluster recognition algorithm for hybrid web data stream |
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| DOI：10.3772/j.issn.1006-6748.2016.02.015 |
| 中文关键词: |
| 英文关键词: hybrid web data stream， coherence micro-clustering, entity unified, object coherence, semantic computing |
| 基金项目: |
| Author Name | Affiliation | | Wang Min（王珉） | | | Wang Yongbin | | | Li Ying | |
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| 中文摘要: |
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| 英文摘要: |
| Data aggregation from various web sources is very significant for web data analysis domain. In addition, the recognition of coherence micro cluster is one of the most interesting issues in the field of data aggregation. Until now, many algorithms have been proposed to work on this issue. However, the deficiency of these solutions is that they cannot recognize the micro-cluster data stream accurately. A semantic-based coherent micro-cluster recognition algorithm for hybrid web data stream is proposed. Firstly, an objective function is proposed to recognize the coherence micro-cluster and then the coherence micro-cluster recognition algorithm for hybrid web data stream based on semantic is raised. Finally, the effectiveness and efficiency evaluation of the algorithm with extensive experiments is verified on real music data sets from Baidu inc. and Migu inc. The experimental results show that the proposed algorithm has better recall rate than the non-semantic micro cluster recognition algorithm and single source data flow micro cluster recognition algorithm. |
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