Graph-based Data for Accessible Indoor Navigation

被引：0
|
作者：
Simon-Nagy, Gabriella [1 ]
Chalhoub, Nidal [1 ]
Fleiner, Rita [1 ]
机构：
[1] Obuda Univ, John von Neumann Fac Informat, Budapest, Hungary
来源：
2019 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS (INES 2019) | 2019年
关键词：
RDF; labeled property graph; ontology; data modelling; Neo4j;
D O I：
10.1109/ines46365.2019.9109530
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the paper the optimal representation of data based on iLOC and iACC ontologies in labeled property graph data model is explored. We describe and analyse the process where RDF-type data is transformed into Neo4j. The focus is on a specific subtask of the transformation, namely how instance-of a subclass type relationships can be expressed in labeled property graphs. Different solutions of the problem are described and analysed from the perspective of path traversal effectiveness.
引用
收藏
页码：351 / 355
页数：5
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