图 书 馆
利用后视图有效地解释RDF数据库中的关键字查询Effectively Interpreting Keyword Queries on RDF Databases with a Rear View |
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| 课程网址: | http://videolectures.net/iswc2011_anyanwu_queries/ |
| 主讲教师: | Kemafor Anyanwu |
| 开课单位: | 北卡罗来纳州立大学 |
| 开课时间: | 2011-11-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Ef fective techniques for keyword search over RDF databases incorporate an explicit interpretation phase that maps keywords in a keyword query to structured query constructs. Because of the ambiguity of keyword queries, it is often not possible to generate a unique interpretation for a keyword query. Consequently, heuristics geared toward generating the top-K likeliest user-intended interpretations have been proposed. However, heuristics currently proposed fail to capture any user- dependent characteristics, but rather depend on database-dependent properties such as occurrence frequency of subgraph pattern connecting keywords. This leads to the problem of generating top-K interpretations that are not aligned with user intentions. In this paper, we propose a context-aware approach for keyword query interpretation that personalizes the interpretation process based on a user's query context. Our approach addresses the novel problem of using a sequence of structured queries corresponding to interpretations of keyword queries in the query history as contextual information for biasing the interpretation of a new query. Experimental results presented over DBPedia dataset show that our approach outperforms the state-of-the-art technique on both efficiency and effectiveness, particularly for ambiguous queries. |
| 关 键 词: | 关键字查询; RDF数据库; 启发式算法; 模糊查询 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-19：lxf |
| 阅读次数: | 39 |