Hu Chen, Hongwei Li, Leilei Ma, Rupeng Liang, Bowei Wen
{"title":"Construction method of geomorphologic classification knowledge base based on ontology","authors":"Hu Chen, Hongwei Li, Leilei Ma, Rupeng Liang, Bowei Wen","doi":"10.1109/GEOINFORMATICS.2011.5981186","DOIUrl":null,"url":null,"abstract":"In order to solve the existent problem of complexity of classification standard and inconstancy of combining geomorphologic factors in geomorphologic classification system, a Geomor-Onto(geomorphology ontology) is built up to describe complicated geomorphy classification problem. With the formal analysis to the semanteme of geomorphic conception, this paper proposes a logic structure of Geomor-Onto and establishes a ontology model. After analyzing the type and source of geomorphic classification knowledge, we built a GCKB (Geomorphologic Classification Knowledge Base), which includes factual base, rule base and image database. In the end, a test is performed by using knowledge acquired form the GCKB and DEM dataset of China, and the results testify the value of this technique.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In order to solve the existent problem of complexity of classification standard and inconstancy of combining geomorphologic factors in geomorphologic classification system, a Geomor-Onto(geomorphology ontology) is built up to describe complicated geomorphy classification problem. With the formal analysis to the semanteme of geomorphic conception, this paper proposes a logic structure of Geomor-Onto and establishes a ontology model. After analyzing the type and source of geomorphic classification knowledge, we built a GCKB (Geomorphologic Classification Knowledge Base), which includes factual base, rule base and image database. In the end, a test is performed by using knowledge acquired form the GCKB and DEM dataset of China, and the results testify the value of this technique.