{"title":"为ECBS领域的概念知识和信息建模建立一个开放的框架","authors":"E. Compatangelo","doi":"10.1109/ECBS.1997.581862","DOIUrl":null,"url":null,"abstract":"This paper outlines an open framework to share information concepts used in domain knowledge modelling and analysis performed before CBS development. The above framework can support the integration of ECBS information models at the domain level by way of the following characteristics. First, a minimalist ontology is introduced to capture relevant categories of information concepts (i.e. domain abstractions) used in different information modelling approaches. Second, a formal but analyst-oriented representation is adopted to model knowledge about the distinct categories of information concepts captured in CBS domains. Third, category-dependant rules for the construction of information concept hierarchies are defined as the basis of automatic deductive services. The above characteristics are compared with the corresponding ones of popular data, process and object modelling approaches.","PeriodicalId":240356,"journal":{"name":"Proceedings International Conference and Workshop on Engineering of Computer-Based Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Towards an open framework for conceptual knowledge in ECBS domain and information modelling\",\"authors\":\"E. Compatangelo\",\"doi\":\"10.1109/ECBS.1997.581862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper outlines an open framework to share information concepts used in domain knowledge modelling and analysis performed before CBS development. The above framework can support the integration of ECBS information models at the domain level by way of the following characteristics. First, a minimalist ontology is introduced to capture relevant categories of information concepts (i.e. domain abstractions) used in different information modelling approaches. Second, a formal but analyst-oriented representation is adopted to model knowledge about the distinct categories of information concepts captured in CBS domains. Third, category-dependant rules for the construction of information concept hierarchies are defined as the basis of automatic deductive services. The above characteristics are compared with the corresponding ones of popular data, process and object modelling approaches.\",\"PeriodicalId\":240356,\"journal\":{\"name\":\"Proceedings International Conference and Workshop on Engineering of Computer-Based Systems\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference and Workshop on Engineering of Computer-Based Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECBS.1997.581862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference and Workshop on Engineering of Computer-Based Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS.1997.581862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards an open framework for conceptual knowledge in ECBS domain and information modelling
This paper outlines an open framework to share information concepts used in domain knowledge modelling and analysis performed before CBS development. The above framework can support the integration of ECBS information models at the domain level by way of the following characteristics. First, a minimalist ontology is introduced to capture relevant categories of information concepts (i.e. domain abstractions) used in different information modelling approaches. Second, a formal but analyst-oriented representation is adopted to model knowledge about the distinct categories of information concepts captured in CBS domains. Third, category-dependant rules for the construction of information concept hierarchies are defined as the basis of automatic deductive services. The above characteristics are compared with the corresponding ones of popular data, process and object modelling approaches.