{"title":"时空知识的定性表示","authors":"Giuseppe Della Penna, Sergio Orefice","doi":"10.1016/j.jvlc.2018.10.002","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper we present PCT (<em>Position-Connection-Time</em>), a formalism capable of representing <em>spatio-temporal knowledge</em><span> in a qualitative fashion. This framework achieves an expressive power<span> comparable to other classic spatial relation formalisms describing common topological and directional spatial relations. In addition, PCT introduces new classes of relations based both on the position of the objects and on their interconnections, and incorporates the notion of time within spatial relations in order to describe dynamic contexts. In this way, PCT is also able to model spatial arrangements that change over time, e.g., moving objects.</span></span></p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"49 ","pages":"Pages 1-16"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.10.002","citationCount":"3","resultStr":"{\"title\":\"Qualitative representation of spatio-temporal knowledge\",\"authors\":\"Giuseppe Della Penna, Sergio Orefice\",\"doi\":\"10.1016/j.jvlc.2018.10.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper we present PCT (<em>Position-Connection-Time</em>), a formalism capable of representing <em>spatio-temporal knowledge</em><span> in a qualitative fashion. This framework achieves an expressive power<span> comparable to other classic spatial relation formalisms describing common topological and directional spatial relations. In addition, PCT introduces new classes of relations based both on the position of the objects and on their interconnections, and incorporates the notion of time within spatial relations in order to describe dynamic contexts. In this way, PCT is also able to model spatial arrangements that change over time, e.g., moving objects.</span></span></p></div>\",\"PeriodicalId\":54754,\"journal\":{\"name\":\"Journal of Visual Languages and Computing\",\"volume\":\"49 \",\"pages\":\"Pages 1-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.jvlc.2018.10.002\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Visual Languages and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1045926X1730277X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Visual Languages and Computing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1045926X1730277X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
Qualitative representation of spatio-temporal knowledge
In this paper we present PCT (Position-Connection-Time), a formalism capable of representing spatio-temporal knowledge in a qualitative fashion. This framework achieves an expressive power comparable to other classic spatial relation formalisms describing common topological and directional spatial relations. In addition, PCT introduces new classes of relations based both on the position of the objects and on their interconnections, and incorporates the notion of time within spatial relations in order to describe dynamic contexts. In this way, PCT is also able to model spatial arrangements that change over time, e.g., moving objects.
期刊介绍:
The Journal of Visual Languages and Computing is a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of visual languages and its implication to the art of computing. The journal publishes research papers, state-of-the-art surveys, and review articles in all aspects of visual languages.