{"title":"面向本体模型精度的可扩展性:在普适计算机支持的协同工作中的应用","authors":"K. Hamadache, L. Lancieri","doi":"10.1109/ICMWI.2010.5647999","DOIUrl":null,"url":null,"abstract":"In this paper we define an ontological model to accurately represent the context in Pervasive Computer Supported Collaborative Work. A major issue in this domain is the mass of information required to correctly depict a situation. As we need to represent users and devices according to multiple aspects (physical, computational, social …) the amount of information can quickly become unmanageable. Besides, as a PCSCW context model has to be usable on limited resources devices such as cell phones, GPS, ADSL Modems we needed a more efficient way to represent information. In this perspective the model we propose offers the possibility to represent a situation with more or less precision; that is to say with more or less abstraction. The final goal of this work is then to provide a model able to reason with a precise or fuzzy description of a situation.","PeriodicalId":404577,"journal":{"name":"2010 International Conference on Machine and Web Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Towards ontological model accuracy's scalability: Application to the Pervasive Computer Supported Collaborative Work\",\"authors\":\"K. Hamadache, L. Lancieri\",\"doi\":\"10.1109/ICMWI.2010.5647999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we define an ontological model to accurately represent the context in Pervasive Computer Supported Collaborative Work. A major issue in this domain is the mass of information required to correctly depict a situation. As we need to represent users and devices according to multiple aspects (physical, computational, social …) the amount of information can quickly become unmanageable. Besides, as a PCSCW context model has to be usable on limited resources devices such as cell phones, GPS, ADSL Modems we needed a more efficient way to represent information. In this perspective the model we propose offers the possibility to represent a situation with more or less precision; that is to say with more or less abstraction. The final goal of this work is then to provide a model able to reason with a precise or fuzzy description of a situation.\",\"PeriodicalId\":404577,\"journal\":{\"name\":\"2010 International Conference on Machine and Web Intelligence\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine and Web Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMWI.2010.5647999\",\"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 Machine and Web Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMWI.2010.5647999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards ontological model accuracy's scalability: Application to the Pervasive Computer Supported Collaborative Work
In this paper we define an ontological model to accurately represent the context in Pervasive Computer Supported Collaborative Work. A major issue in this domain is the mass of information required to correctly depict a situation. As we need to represent users and devices according to multiple aspects (physical, computational, social …) the amount of information can quickly become unmanageable. Besides, as a PCSCW context model has to be usable on limited resources devices such as cell phones, GPS, ADSL Modems we needed a more efficient way to represent information. In this perspective the model we propose offers the possibility to represent a situation with more or less precision; that is to say with more or less abstraction. The final goal of this work is then to provide a model able to reason with a precise or fuzzy description of a situation.