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作 者:李滨[1] 张海波[2] 刘嘉[1] 林闯[1] 潘丰[1] 李鹏[1]
机构地区:[1]信息工程大学测绘学院 [2]68029部队
出 处:《测绘科学技术学报》2010年第2期139-142,共4页Journal of Geomatics Science and Technology
基 金:信息工程大学测绘学院院课题基金资助(Y0709);信息工程大学测绘学院学员创新基金资助(X0803)
摘 要:基于自然语言的空间查询语言是空间数据库和智能GIS的重要研究领域。针对空间查询语言的特殊性就基于自然语言的空间查询语言的解译机制进行了细致的研究。在空间目标名称库、空间词汇库、空间查询句型模板库、空间语料库、查询结果模板库等空间知识库的支持下,介绍了如何用最大匹配分词技术对空间查询语句进行分词;说明了利用空间查询句型模板库中的句型对查询语句进行句法分析,最终解译出空间查询目标和相应空间操作的过程;详细阐述了如何进一步将这些空间目标和空间操作转换成中间空间查询语句(即扩展空间数据类型和空间函数的SQL),并由关系数据库执行查询;最后就如何选择文字或图形两种语言形式进行查询结果表示做了说明。The spatial query language based on natural language is an important research field of spatial database and intellectualized GIS. Considered the particularity of spatial query language, the interpreting mechanism of spatial query language based on natural language was researched. The spatial query sentence was segemented to several words using the segmentation technology of maximal matching. Then, the grammar analysis process of query sentence was described with spatial query sentence pattern and the query sentence was interpreted to acquire spatial objects and spatial operations. And then, those objects and operations were interpreted to SQL which extended spatial data types and spatial functions and executed by RDBMS. At last, how to choose the expressing methods which included language expression and graph expression to display query results were illustrated. The spatial knowledge base were used in the whole interpreting process which included spatial object name base, spatial lexicon, spatial query sentence pattern base, spatial corpus, query result pattern base.
关 键 词:自然语言 自然语言解译 空间查询语言 空间知识库 SQL空间扩展
分 类 号:P208[天文地球—地图制图学与地理信息工程] TP311.13[天文地球—测绘科学与技术]
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