{"title":"面向上下文集成的语用本体设计模式","authors":"Yew Kwang Hooi, M. Fadzil Hassan, M. A. Sharifff","doi":"10.1109/ICCOINS.2018.8510570","DOIUrl":null,"url":null,"abstract":"Critical systems require continuous collection and integration of knowledge from the environment. The challenge is effective integration of knowledge in a dynamic environment. This work proposes a knowledge model that is adaptable to changes. However, there is a lack of ontology structure and reasoning that reacts immediately to availability of a new piece of information in real-time. This paper presents a novel ontology design pattern that facilitates automatic integration of knowledge through event detection and context analysis. Theoretical analysis and a use case are used to assess the model. The work claims a contribution towards developing mechanism for ontology pragmatics and addressing challenges of the smart computing.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pragmatic Ontology Design Pattern for Contextual Integration\",\"authors\":\"Yew Kwang Hooi, M. Fadzil Hassan, M. A. Sharifff\",\"doi\":\"10.1109/ICCOINS.2018.8510570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Critical systems require continuous collection and integration of knowledge from the environment. The challenge is effective integration of knowledge in a dynamic environment. This work proposes a knowledge model that is adaptable to changes. However, there is a lack of ontology structure and reasoning that reacts immediately to availability of a new piece of information in real-time. This paper presents a novel ontology design pattern that facilitates automatic integration of knowledge through event detection and context analysis. Theoretical analysis and a use case are used to assess the model. The work claims a contribution towards developing mechanism for ontology pragmatics and addressing challenges of the smart computing.\",\"PeriodicalId\":168165,\"journal\":{\"name\":\"2018 4th International Conference on Computer and Information Sciences (ICCOINS)\",\"volume\":\"269 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Computer and Information Sciences (ICCOINS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCOINS.2018.8510570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCOINS.2018.8510570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pragmatic Ontology Design Pattern for Contextual Integration
Critical systems require continuous collection and integration of knowledge from the environment. The challenge is effective integration of knowledge in a dynamic environment. This work proposes a knowledge model that is adaptable to changes. However, there is a lack of ontology structure and reasoning that reacts immediately to availability of a new piece of information in real-time. This paper presents a novel ontology design pattern that facilitates automatic integration of knowledge through event detection and context analysis. Theoretical analysis and a use case are used to assess the model. The work claims a contribution towards developing mechanism for ontology pragmatics and addressing challenges of the smart computing.