An Intelligent method for Geographic Web Search
While the electronically available information in the World-Wide Web is explosively growing and thus increasing,the difficulty to find relevant information is also increasing for search engine user.In this paper we discuss how to constrain web queries geographically.A number of search queries are associated with geographical locations,either explicitly or implicitly.Accurately and effectively detecting the locations where search queries are truly about has huge potential impact on increasing search relevance,bringing better targeted search results,and improving search user satisfaction.Our approach focus on both in the way geographic information is extracted from the web and,as far as we can tell,in the way it is integrated into query processing.This paper gives an overview of a spatially aware search engine for semantic querying of web document.It also illustrates algorithms for extracting location from web documents and query requests using the location ontologies to encode and reason about formal semantics of geographic web search.Based on a real-world scenario of tourism guide search,the application of our approach shows that the geographic information retrieval can be efficiently supported.
Geographic web search Semantic interoperability Ontology GIS
Kun Mei Ying Yuan
Research Center of Spatial Information & Digital Engineering,Wuhan University,Hubei,P.R.CHINA 430079
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）