Lamia Belouaer, David Brosset, Christophe Claramunt
{"title":"From verbal route descriptions to sketch maps in natural environments","authors":"Lamia Belouaer, David Brosset, Christophe Claramunt","doi":"10.1145/2996913.2997003","DOIUrl":null,"url":null,"abstract":"The representation of human knowledge extracted from navigations in natural environments is still a research challenge for spatial cognition and computer science. When acting in natural environments people often use verbal route descriptions or sketch maps to transmit their knowledge of the environment, and some of the actions performed. The research developed in this paper introduces a modeling and computational approach using verbal descriptions of human navigating in a natural environment. The objective is to extract the semantic and spatial knowledge emerging from the verbal route descriptions. A formal and semantic model is introduced with a series of rules that merge different route descriptions. The semantic network constructed presents a global view of the route descriptions, and is used to generate a map representation from them. The whole approach is illustrated by a case study.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"6 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2996913.2997003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The representation of human knowledge extracted from navigations in natural environments is still a research challenge for spatial cognition and computer science. When acting in natural environments people often use verbal route descriptions or sketch maps to transmit their knowledge of the environment, and some of the actions performed. The research developed in this paper introduces a modeling and computational approach using verbal descriptions of human navigating in a natural environment. The objective is to extract the semantic and spatial knowledge emerging from the verbal route descriptions. A formal and semantic model is introduced with a series of rules that merge different route descriptions. The semantic network constructed presents a global view of the route descriptions, and is used to generate a map representation from them. The whole approach is illustrated by a case study.