{"title":"图文法概览:理论与应用","authors":"Hoda Fahmy, D. Blostein","doi":"10.1109/ICPR.1992.201776","DOIUrl":null,"url":null,"abstract":"Graph grammars provide a useful formalism for describing structural manipulations of multidimensional data. The authors review briefly theoretical aspects of graph grammars, particularly of the embedding problem, and then summarize graph-grammar applications. Currently graph grammars are used most successfully in application areas other than pattern recognition. Widespread application of graph grammars to picture processing tasks will require research into problems of large-scale grammars, readability of grammars, and grammatical processing of uncertain data.<<ETX>>","PeriodicalId":34917,"journal":{"name":"模式识别与人工智能","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"A survey of graph grammars: theory and applications\",\"authors\":\"Hoda Fahmy, D. Blostein\",\"doi\":\"10.1109/ICPR.1992.201776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graph grammars provide a useful formalism for describing structural manipulations of multidimensional data. The authors review briefly theoretical aspects of graph grammars, particularly of the embedding problem, and then summarize graph-grammar applications. Currently graph grammars are used most successfully in application areas other than pattern recognition. Widespread application of graph grammars to picture processing tasks will require research into problems of large-scale grammars, readability of grammars, and grammatical processing of uncertain data.<<ETX>>\",\"PeriodicalId\":34917,\"journal\":{\"name\":\"模式识别与人工智能\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"模式识别与人工智能\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"模式识别与人工智能","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
A survey of graph grammars: theory and applications
Graph grammars provide a useful formalism for describing structural manipulations of multidimensional data. The authors review briefly theoretical aspects of graph grammars, particularly of the embedding problem, and then summarize graph-grammar applications. Currently graph grammars are used most successfully in application areas other than pattern recognition. Widespread application of graph grammars to picture processing tasks will require research into problems of large-scale grammars, readability of grammars, and grammatical processing of uncertain data.<>