| T-STAR: 一种基于关键词的关系数据库时态信息检索方法* |
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| 引用本文： | 张晓民,祁薇,张俊,桂小庆.T-STAR: 一种基于关键词的关系数据库时态信息检索方法*[J].计算机应用研究,2017,34(10). |
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| 作者姓名： | 张晓民 祁薇 张俊 桂小庆 |
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| 作者单位： | 大连海事大学 信息科学技术学院,海军大连舰艇学院 信息科学与工程学院,大连海事大学 信息科学技术学院,大连海事大学 信息科学技术学院 |
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| 基金项目： | 国家自然科学(61073057, 61370070) |
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| 摘 要： | 将时态信息融入到信息检索技术中可以有效提高检索效果,时态信息检索已有较多的研究,而现有数据库信息检索方法还缺乏对时态信息有效利用。针对这一研究问题,提出关系数据库上基于时态语义的关键词检索方法,引入时态信息构建时态数据图,设计时态相关性评分机制,在时态图搜索过程中引入时态语义约束,设计基于关键词的时态检索算法。实验验证了该方法可以有效提高数据库信息检索效果,而检索性能并没有降低。
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| 关 键 词： | 时态信息检索 时态数据图 检索 关系数据库 |
| 收稿时间： | 2016/7/21 0:00:00 |
| 修稿时间： | 2017/7/2 0:00:00 |
T-STAR: A keywords-based Temporal Information Retrieval Method over Relation Databases |
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| Zhang Xiaomin,Qi Wei,Zhang Jun and Gui Xiaoqing.T-STAR: A keywords-based Temporal Information Retrieval Method over Relation Databases[J].Application Research of Computers,2017,34(10). |
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| Authors: | Zhang Xiaomin Qi Wei Zhang Jun and Gui Xiaoqing |
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| Affiliation: | School of Information Science and Technology,Dalian Maritime University,,, |
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| Abstract: | Temporal Information Retrieval (TIR) can effectively improve the effect of retrieval results, and has been widely studied in information retrieval community. However, existing database information retrieval methods lacks of effective utilization of temporal information. For this research problem, we proposed a keyword-based TIR method over relational databases. Temporal data graph was built and temporal correlation scoring mechanism was designed, then temporal semantic constraints were employed in the process of temporal graph search. Experiments showed that our method could obviously improve the effect of the database information retrieval, and the retrieval performance was acceptable. |
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| Keywords: | Temporal Information Retrieval Temporal Data Graph Keywords-based Retrieval Relational Databases |
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