{"title":"从语义到认知信息搜索:深层语义搜索的基本原理和模型","authors":"N. V. Maksimov, O. L. Golitsyna","doi":"10.3103/S0005105522030074","DOIUrl":null,"url":null,"abstract":"<div><div><h3>\n <b>Abstract</b>—</h3><p>The features of human-machine documentary search focused on information support of cognitive processes are considered. The concepts of meaning and semantic information search are analyzed. The concept of deep semantic search is introduced, considered as an interactive process with search mechanisms on knowledge graph, similar to the mechanics of consciousness/cognition operations. The concept of cognitive information search is introduced, which is considered as the construction of a path of cognition—an interactive iterative and significantly dependent on the previous result formation of a target fact on a chaotic set of found facts. The result of such a search will be (1) the selection of fragments of documents that meet the real information need (and not copies of documents that meet the expressed need, as in traditional documentary retrieval system), and (2) an interactively generated semantic graph—a conceptual image of solving the user’s problem. Mathematical models of deep semantic search on knowledge graphs were given.</p></div></div>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"From Semantic to Cognitive Information Search: The Fundamental Principles and Models of Deep Semantic Search\",\"authors\":\"N. V. Maksimov, O. L. Golitsyna\",\"doi\":\"10.3103/S0005105522030074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div><h3>\\n <b>Abstract</b>—</h3><p>The features of human-machine documentary search focused on information support of cognitive processes are considered. The concepts of meaning and semantic information search are analyzed. The concept of deep semantic search is introduced, considered as an interactive process with search mechanisms on knowledge graph, similar to the mechanics of consciousness/cognition operations. The concept of cognitive information search is introduced, which is considered as the construction of a path of cognition—an interactive iterative and significantly dependent on the previous result formation of a target fact on a chaotic set of found facts. The result of such a search will be (1) the selection of fragments of documents that meet the real information need (and not copies of documents that meet the expressed need, as in traditional documentary retrieval system), and (2) an interactively generated semantic graph—a conceptual image of solving the user’s problem. Mathematical models of deep semantic search on knowledge graphs were given.</p></div></div>\",\"PeriodicalId\":42995,\"journal\":{\"name\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0005105522030074\",\"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/S0005105522030074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
From Semantic to Cognitive Information Search: The Fundamental Principles and Models of Deep Semantic Search
Abstract—
The features of human-machine documentary search focused on information support of cognitive processes are considered. The concepts of meaning and semantic information search are analyzed. The concept of deep semantic search is introduced, considered as an interactive process with search mechanisms on knowledge graph, similar to the mechanics of consciousness/cognition operations. The concept of cognitive information search is introduced, which is considered as the construction of a path of cognition—an interactive iterative and significantly dependent on the previous result formation of a target fact on a chaotic set of found facts. The result of such a search will be (1) the selection of fragments of documents that meet the real information need (and not copies of documents that meet the expressed need, as in traditional documentary retrieval system), and (2) an interactively generated semantic graph—a conceptual image of solving the user’s problem. Mathematical models of deep semantic search on knowledge graphs were given.
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.