{"title":"基于PaaS云的基于语义Web规则语言和JESS的情境数据演绎效率提升研究","authors":"Se-Hoon Jung, Jong-Chan Kim, Chun-Bo Sim","doi":"10.14257/ijdta.2017.10.7.10","DOIUrl":null,"url":null,"abstract":"We propose a conduct mobile cloud situation service with using Google App Engine based on PaaS in order to get situation service in various mobile devices without any subordination to any specific platform. At the same time, it is intended to shorten the situation service reasoning time with mapping the regular reasoning of SWRL to JESS reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JESSTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.","PeriodicalId":13926,"journal":{"name":"International journal of database theory and application","volume":"10 1","pages":"113-122"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on Efficiency Improvement of Situation Data Deduction using Semantic Web Rule Language and JESS based on PaaS Cloud\",\"authors\":\"Se-Hoon Jung, Jong-Chan Kim, Chun-Bo Sim\",\"doi\":\"10.14257/ijdta.2017.10.7.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a conduct mobile cloud situation service with using Google App Engine based on PaaS in order to get situation service in various mobile devices without any subordination to any specific platform. At the same time, it is intended to shorten the situation service reasoning time with mapping the regular reasoning of SWRL to JESS reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JESSTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.\",\"PeriodicalId\":13926,\"journal\":{\"name\":\"International journal of database theory and application\",\"volume\":\"10 1\",\"pages\":\"113-122\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of database theory and application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14257/ijdta.2017.10.7.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of database theory and application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/ijdta.2017.10.7.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Efficiency Improvement of Situation Data Deduction using Semantic Web Rule Language and JESS based on PaaS Cloud
We propose a conduct mobile cloud situation service with using Google App Engine based on PaaS in order to get situation service in various mobile devices without any subordination to any specific platform. At the same time, it is intended to shorten the situation service reasoning time with mapping the regular reasoning of SWRL to JESS reasoning engine by connecting the values such as Class, Property and Individual which are regular information in the form of SWRL to Jess reasoning engine via JESSTab plug-in in order to overcome the demerit of queries reasoning method of SparQL in semantic search which is a previous reasoning method.
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