多模型数据库在无障碍室内导航中的适用性

2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Pub Date : 2020-06-01 DOI:10.1109/MeMeA49120.2020.9137149

Gabriella Simon-Nagy, Rita Fleiner, A. Várkonyi-Kóczy

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引用次数: 0

摘要

本文基于iLOC和iACC本体，提出了一种适用于多模型NoSQL数据库的可访问室内导航数据模型。我们考虑了我们之前关于用于无障碍室内寻路的标记属性图数据模型的实用性和性能的观察，并通过使用多模型方法提出了多种改进方法。新数据模型的一个非常重要的目标是提供一种结构，以便能够运行完全可定制的寻路查询，以满足残疾用户的可访问性需求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Applicability of Multi-model Databases for Accessible Indoor Navigation

In this paper an accessible indoor navigation data model suitable for multi-model NoSQL databases is proposed, based on iLOC and iACC ontologies. We consider our previous observations about practicality and performance of labeled property graph data models used for accessible indoor wayfinding and suggest multiple ways of improvement by using a multi-model approach. A very important aim of the new data model is to provide a structure to be able to run fully customizable wayfinding queries with respect to accessibility needs of disabled users.

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2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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