摘要
自然语言与GIS的结合是实现GIS智能化和大众化的重要基础。实现自然语言中地理命名实体识别不仅能够丰富GIS的信息来源,而且能够提升GIS的表达能力和可理解性。自然语言中地理命名实体表达方式的多样性、语义模糊性是地理命名实体识别研究中的主要难题。重点阐述和分析了中文文本中地理命名实体识别的基本问题、研究方法及其在GIS中的应用前景,并提出了当前该领域面临的主要问题。
The integration of natural languages and GIS is an important foundation for the intelligentization and popularization of GISs. Geographical entity recognition of natural languages can enrich the information resource of GISs and improve their capability of representation and understandability. The semantic diversity and ambiguity of the geographical entities of natural languages are the main problems in the research of geographical entity recognition. This paper reviews on the previous methods and their prospective applications in GISs, and then presents some problems needed to be resolved at present.
出处
《重庆邮电大学学报（自然科学版）》
2008年第6期719-724,共6页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
“863”计划项目(2007AA12Z221)
南京师范大学重点科研基金资助项目(2006105XGQ0051)
关键词
地理命名实体识别
自然语言
地理信息系统
geographical entity recognition
natural language
geographical information system （GIS）
