Ontology based navigation model of the ILONA system

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI:10.1109/SAMI.2017.7880357

Daniel P. Kun, Erika Varga, Zsolt Tóth

{"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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于本体的ILONA系统导航模型

本文介绍了ILONA系统的导航组件模型，该系统是一个灵活的室内定位框架。封闭环境下的导航是室内定位服务的重要组成部分。室内环境的独特属性和拓扑结构限制了现有全球导航解决方案的使用。另一方面，房间级室内导航可以追溯到图算法。本体允许对室内环境进行灵活的描述，并且可以紧凑地存储建筑物的结构和其他属性。提出的本体是针对ILONA系统的现有组件进行定制的。抛弃了对现有室内本体的适应。因此，本文引入的本体是基于ILONA系统的模型，能够有效地对建筑物的结构进行建模。该模型可用于扩展ILONA系统，使其具有基于本体的导航能力。将所提出的模型用于一个三层建筑的模型验证。本文还介绍了实现的实用功能和服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

自引率

0.00%

发文量