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  • 标题:RESEARCH ON PROBLEM-BASED SPATIAL AND NON-SPATIAL INFORMATION SEARCH METHODS
  • 本地全文:下载
  • 作者:Hongsheng Li ; Jiping Liu ; Yong Wang
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2005
  • 卷号:XXXVI-2/W25
  • 出版社:Copernicus Publications
  • 摘要:In the field of information processing, there exists awkward comparison between information flooding and thirst for information. One of the most publicized goals of modern information processing is to provide flexible access to information for anybody, anywhere, anytime. How to get needed data or information from vast information ocean, especially problem-based data search is becoming a focused research domain nowadays. Experts from Geography Information System community as well as Information Retrieval community are collaborating in order to fill and level up this great gulf. Driven by user requests and technology trends in the field of IT (Information Technology) and NSDI (National Spatial Data Infrastructure), this paper presents an ongoing research that intends to explore approaches to problem-based spatial and non-spatial information search method. The research methodologies and system flow chart of search prototype are well-described. A specific focus of this research is the intelligent parsing (formulizing) method of user's problems and subsequent information search method from diverse and heterogeneous data sources. Spatial and non- spatial information post processing methods are also discussed for the purpose of elegant search precision. Effective approach of integration and visualization of spatial and non-spatial information is mentioned. Experiments on extraction of geographic information from plain text are carried out to validate the feasibility of our approach based on text categorization and extraction theory. Conclusions and future works are introduced in the end of this paper
  • 关键词:Data Search Methods; Spatial Information; Non-Spatial Information; Integration and Visualization; Text Extraction
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