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Research On Intelligent Web Search Engine Of Unstructured Spatial Information

Posted on:2007-01-06Degree:DoctorType:Dissertation
Country:ChinaCandidate:X Q LeFull Text:PDF
GTID:1100360185978900Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Unstructured data occupies a large part of Web information resources. It is the main data source of Web Search Engine. As an important component of Web resources, unstructured spatial data is the major research content of Geo Search Engine (GSE), which is regarded as the embranchment of general Search Engine. GSE combines WebGIS with Search Engine, It can provide Local Service to common users and can satisfy us with geo-related information, in accord with the current trend of information retrieval towards intelligentization and individuation .As a continuation of the "863" program "Intelligent Web Search Engine for Spatial Information", the dissertation, based on the technologies of Web Search Engine, Natural Language Processing (NLP), GIS and Information Extraction (IE), makes an in-depth and systematic study on acquisition, processing and services of unstructured spatial information. It focuses on the key technologies and approaches of SNE recognition, spatial semantic analysis, spatial concept extraction, semantic indexing and retrieval of anchor texts hierarchical structure, in accordance with different grades of text size: word, phrase and sentence. By making use of these basic research results, the dissertation implements prototype systems like Map Page Search Engine, SNE Searching and WenTuZhiTong. Finally, an integrated prototype of Intelligent Web Search Engine of Unstructured Spatial Information (SIISE) is constructed. The main contributions and innovations of this dissertation can be concluded as follows:[1] Summaries of current research status on Geo Search Engine, spatial concepts extraction and semantic indexing are made.[2] Solutions to recognize Chinese SNE online are given. By means of geo-coding, the dissertation presents an approach to recognize new SNE (Chinese), which are not existed in gazetteers, from online web pages. The Experiments show that it has good efficiency. The algorithm is now applied to the system of SNE Searching, which is a client of CiHu software system.[3] Definitions of spatial semantic roles are put forward according to Chinese...
Keywords/Search Tags:Geo Search Engine, Unstructured Resource, Anchor Text Hiberarchy, Semantic Indexing, Spatial Named Entity (SNE), Spatial Semantic Analysis, Spatial Concept Extraction
PDF Full Text Request
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