{"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}
引用次数: 0
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.