Toshihiro Uchibayashi, B. Apduhan, N. Shiratori, J. Rahayu, D. Taniar
{"title":"语义网格中子本体抽取的原型环境研究","authors":"Toshihiro Uchibayashi, B. Apduhan, N. Shiratori, J. Rahayu, D. Taniar","doi":"10.1109/ICCSA.2010.82","DOIUrl":null,"url":null,"abstract":"To efficiently utilize the large-scale ontology data distributed on the Semantic Grid is a problem issue of high concern. Sub-ontology extraction that reflects the user requirements is one method of addressing the issue. Large-scale ontology data can be optimized by extracting the required sub-ontology. In this paper, we construct a Semantic Grid prototype environment to extract the sub-ontology and conducted preliminary evaluation through illustrations using UMLSSN ontology data.","PeriodicalId":405597,"journal":{"name":"2010 International Conference on Computational Science and Its Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On a Prototype Environment for Sub-ontology Extraction in Semantic Grid\",\"authors\":\"Toshihiro Uchibayashi, B. Apduhan, N. Shiratori, J. Rahayu, D. Taniar\",\"doi\":\"10.1109/ICCSA.2010.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To efficiently utilize the large-scale ontology data distributed on the Semantic Grid is a problem issue of high concern. Sub-ontology extraction that reflects the user requirements is one method of addressing the issue. Large-scale ontology data can be optimized by extracting the required sub-ontology. In this paper, we construct a Semantic Grid prototype environment to extract the sub-ontology and conducted preliminary evaluation through illustrations using UMLSSN ontology data.\",\"PeriodicalId\":405597,\"journal\":{\"name\":\"2010 International Conference on Computational Science and Its Applications\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Computational Science and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSA.2010.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Computational Science and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSA.2010.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On a Prototype Environment for Sub-ontology Extraction in Semantic Grid
To efficiently utilize the large-scale ontology data distributed on the Semantic Grid is a problem issue of high concern. Sub-ontology extraction that reflects the user requirements is one method of addressing the issue. Large-scale ontology data can be optimized by extracting the required sub-ontology. In this paper, we construct a Semantic Grid prototype environment to extract the sub-ontology and conducted preliminary evaluation through illustrations using UMLSSN ontology data.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
