利用地名语义实现Web地震事件空间信息提取
|
摘要
针对Web新闻中地震事件地点要素提取的需求,提出了利用地名语义技术实现的地震事件空间信息提取的解决方案。通过构建地名本体库来支持标准化地名构建,通过句法分析、中文分词和词性标注识别地名,通过地名的标准化从地名本体库获得地名语义信息提取地震事件地点信息。同时,利用语义库及其推理机制完成地名标定范围内的地震事件搜索,成功地获取了中国境内近年的各省地市县的地震事件的空间分布情况。原型系统验证了论文方法的可行性和有效性。
Aiming at the needs of geographic feature extraction of web news semantic event,the solution of the spatial information extraction from seismic event news is proposed based on geographic names semantic technology. Basic strategies including the standardization of geographic names is supported through the building of geographic names ontology library. Geographic names are identified through syntactic analysis,Chinese word segmentation and part of speech tagging. Seismic events location information is extracted through the standardization of geographic names from the semantic ontology library of geographical names. Meanwhile,based on the semantic library and its reasoning mechanism,the spatial distribution of the seismic events is successfully obtained in the provinces,cities and counties in China in recent years.The prototype system is completed to verify the feasibility and effectiveness of the methods proposed by this paper.
Aiming at the needs of geographic feature extraction of web news semantic event,the solution of the spatial information extraction from seismic event news is proposed based on geographic names semantic technology. Basic strategies including the standardization of geographic names is supported through the building of geographic names ontology library. Geographic names are identified through syntactic analysis,Chinese word segmentation and part of speech tagging. Seismic events location information is extracted through the standardization of geographic names from the semantic ontology library of geographical names. Meanwhile,based on the semantic library and its reasoning mechanism,the spatial distribution of the seismic events is successfully obtained in the provinces,cities and counties in China in recent years.The prototype system is completed to verify the feasibility and effectiveness of the methods proposed by this paper.
引文
[1]Zhou Y,Xie X,Wang C,et al.Hybrid Index Structure for Location-based Web Search[C].Proceedings of the 14th ACM International and Knowledge Man-agement,Bremen,2005
[2]张毅.顾及认知的GIS语义模型及原型实验[D].北京:北京大学,2010
[3]刘瑜,张毅,田原.广义地名及其本体研究[J].地理与地理信息科学,2007,23(6):1-7
[4]李淑霞,高俊.地名本体的概念框架与构成研究[J].测绘科学技术学报,2008,25(3):164-167
[5]Smith B,Mark D.Ontology and Geographic Kinds[C].In Proceedings 8th International Symposium on Spatial Data Handing(SDH-98),Vancouver,1998
[6]唐旭日,陈小荷,张雪英.中文文本的地名解析方法研究[J].武汉大学学报·信息科学版,2010,35(8):930-935
[7]黄德根,岳广玲,杨元生.基于统计的中文地名识别[J].中文信息学报,2003,17(2):36-41
[8]Egenhofer M.Toward the Semantic Geospatial Web[C].Proceedings of the Tenth ACM International Symposium on Advances in Geographic Information System,Mclean,Virginia,2002
[9]李宏伟.基于Ontology的地理信息服务研究[D].郑州:信息工程大学,2007
[10]Gruber T R.Towards Principles for the Design of Ontologies Used for Knowledge Sharing[J].Inter-national Journal of Human-Computer Studies,1995,43(5/6):907-928
[11]苏明明,宋文.基于本体的语义搜索引擎解决方案研究新进展[J].现代图书情报技术,2008,171(11):24-28
[12]文坤梅.基于本体知识库推理的语义搜索研究[D].武汉:华中科技大学,2007
[2]张毅.顾及认知的GIS语义模型及原型实验[D].北京:北京大学,2010
[3]刘瑜,张毅,田原.广义地名及其本体研究[J].地理与地理信息科学,2007,23(6):1-7
[4]李淑霞,高俊.地名本体的概念框架与构成研究[J].测绘科学技术学报,2008,25(3):164-167
[5]Smith B,Mark D.Ontology and Geographic Kinds[C].In Proceedings 8th International Symposium on Spatial Data Handing(SDH-98),Vancouver,1998
[6]唐旭日,陈小荷,张雪英.中文文本的地名解析方法研究[J].武汉大学学报·信息科学版,2010,35(8):930-935
[7]黄德根,岳广玲,杨元生.基于统计的中文地名识别[J].中文信息学报,2003,17(2):36-41
[8]Egenhofer M.Toward the Semantic Geospatial Web[C].Proceedings of the Tenth ACM International Symposium on Advances in Geographic Information System,Mclean,Virginia,2002
[9]李宏伟.基于Ontology的地理信息服务研究[D].郑州:信息工程大学,2007
[10]Gruber T R.Towards Principles for the Design of Ontologies Used for Knowledge Sharing[J].Inter-national Journal of Human-Computer Studies,1995,43(5/6):907-928
[11]苏明明,宋文.基于本体的语义搜索引擎解决方案研究新进展[J].现代图书情报技术,2008,171(11):24-28
[12]文坤梅.基于本体知识库推理的语义搜索研究[D].武汉:华中科技大学,2007
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心