{"title":"Research on GIS for Logistics Based on Geo-Ontology","authors":"Yongqi Huang, Gaoyan Deng, Xiaochun Wu, Zhui Zhao","doi":"10.1109/IWISA.2010.5473518","DOIUrl":null,"url":null,"abstract":"Geo-ontology provides explicit and formalized definition of shared geographic concepts, applied to aspects such as sharing and interoperating geographic information, integrating geographic information based on semantics and geographic information service. This paper adopts geo-ontology to establish logistics domain ontology so as to store abundant semantics information and represent intricate dependent relationships. At the same time this paper uses SWRL lay down domain rules, and obtains some logistic business conclusions by Jess reasoning engine. Semantics information represented by geo-ontology can automatically implement reasonable semantics extension of logistic rules and obtain more complete reasoning results, so as to realize standardization and reusability of representation of information. In the meantime, Jess reasoning engine can automatically reason out implication relationships among logistic concepts, which will liberate logistic business personnel from tedious and inefficient business.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473518","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
Geo-ontology provides explicit and formalized definition of shared geographic concepts, applied to aspects such as sharing and interoperating geographic information, integrating geographic information based on semantics and geographic information service. This paper adopts geo-ontology to establish logistics domain ontology so as to store abundant semantics information and represent intricate dependent relationships. At the same time this paper uses SWRL lay down domain rules, and obtains some logistic business conclusions by Jess reasoning engine. Semantics information represented by geo-ontology can automatically implement reasonable semantics extension of logistic rules and obtain more complete reasoning results, so as to realize standardization and reusability of representation of information. In the meantime, Jess reasoning engine can automatically reason out implication relationships among logistic concepts, which will liberate logistic business personnel from tedious and inefficient business.