{"title":"概念、语言表示方法和语义层面的知识处理","authors":"G. Sergievsky, M. Sergievsky","doi":"10.3103/S0005105523020073","DOIUrl":null,"url":null,"abstract":"<div><div><h3>\n <b>Abstract</b>—</h3><p>The requirements that knowledge representation languages must meet are determined. It is concluded that the reasons for the failures of previous projects within the knowledge-based systems paradigm are the lack of knowledge representation languages focused on processing knowledge expressed in a conceptual form. The main elements of the system are the knowledge base, the database, and the inference machine. Facts are stored in a database in the form of a network of instances of concepts; universal knowledge is presented in the form of an ontology of the domain area, consisting of a set of definitions of concepts, integrity conditions, and rules. The tools of ontology definition allow solving the problem of describing the semantics of concepts using the concept model of the representation/content type, which allows representing and processing information at the semantic level. The advantage of the proposed approach is the possibility of using the same language for entering not only facts and queries but also for defining concepts and rules.</p></div></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conception and Linguistic Means of Representation and Knowledge Processing at the Semantic Level\",\"authors\":\"G. Sergievsky, M. Sergievsky\",\"doi\":\"10.3103/S0005105523020073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><h3>\\n <b>Abstract</b>—</h3><p>The requirements that knowledge representation languages must meet are determined. It is concluded that the reasons for the failures of previous projects within the knowledge-based systems paradigm are the lack of knowledge representation languages focused on processing knowledge expressed in a conceptual form. The main elements of the system are the knowledge base, the database, and the inference machine. Facts are stored in a database in the form of a network of instances of concepts; universal knowledge is presented in the form of an ontology of the domain area, consisting of a set of definitions of concepts, integrity conditions, and rules. The tools of ontology definition allow solving the problem of describing the semantics of concepts using the concept model of the representation/content type, which allows representing and processing information at the semantic level. The advantage of the proposed approach is the possibility of using the same language for entering not only facts and queries but also for defining concepts and rules.</p></div></div>\",\"PeriodicalId\":42995,\"journal\":{\"name\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0005105523020073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105523020073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Conception and Linguistic Means of Representation and Knowledge Processing at the Semantic Level
Abstract—
The requirements that knowledge representation languages must meet are determined. It is concluded that the reasons for the failures of previous projects within the knowledge-based systems paradigm are the lack of knowledge representation languages focused on processing knowledge expressed in a conceptual form. The main elements of the system are the knowledge base, the database, and the inference machine. Facts are stored in a database in the form of a network of instances of concepts; universal knowledge is presented in the form of an ontology of the domain area, consisting of a set of definitions of concepts, integrity conditions, and rules. The tools of ontology definition allow solving the problem of describing the semantics of concepts using the concept model of the representation/content type, which allows representing and processing information at the semantic level. The advantage of the proposed approach is the possibility of using the same language for entering not only facts and queries but also for defining concepts and rules.
期刊介绍：
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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