{"title":"Ontology based navigation model of the ILONA system","authors":"Daniel P. Kun, Erika Varga, Zsolt Tóth","doi":"10.1109/SAMI.2017.7880357","DOIUrl":null,"url":null,"abstract":"This paper presents the model of the navigation component of the ILONA System, which is a flexible indoor positioning framework. Navigation in closed environment is a vital part of indoor location based services. The unique properties and the topology of the indoor environments limits the usage of existing global navigation solutions. On the other hand, room-level indoor navigation can be traced back to graph algorithms. Ontology allows a flexible description of the indoor environment and can store the structure and other properties of the buildings compactly. The ontology presented was tailored to the existing components of the ILONA System. The adaptation of existing indoor ontologies were discarded. Hence, the ontology introduced in this paper is able to model the structures of buildings efficiently and it is based on the model of the ILONA System. This model can be used to extend the ILONA System with an ontology-based navigation capability. The model presented was used to model a three-story building for verification. The utility functions and services implemented are also presented in this paper.","PeriodicalId":105599,"journal":{"name":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2017.7880357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
This paper presents the model of the navigation component of the ILONA System, which is a flexible indoor positioning framework. Navigation in closed environment is a vital part of indoor location based services. The unique properties and the topology of the indoor environments limits the usage of existing global navigation solutions. On the other hand, room-level indoor navigation can be traced back to graph algorithms. Ontology allows a flexible description of the indoor environment and can store the structure and other properties of the buildings compactly. The ontology presented was tailored to the existing components of the ILONA System. The adaptation of existing indoor ontologies were discarded. Hence, the ontology introduced in this paper is able to model the structures of buildings efficiently and it is based on the model of the ILONA System. This model can be used to extend the ILONA System with an ontology-based navigation capability. The model presented was used to model a three-story building for verification. The utility functions and services implemented are also presented in this paper.