Paper Info
Title
Semantic levels of information hierarchy for urban street navigation
Abstract
Urban street areas are highly populated with buildings and its related information. Therefore, a suitable data representation scheme is essential to provide urban navigators with useful and relevant data semantics for better understanding of the surrounding space. The aim of this paper is to propose a design methodology of a spatial semantic database which is semantically enriched for providing information at different level of detail (LOD) using a hierarchical data structure. Preliminary tests of the proposed semantic DB schema and its data structure design applied on a set of real street building data and its evaluations reveal the feasibility of our approach to be extended to large scale mobile applications.
Year
DOI
Venue
2014
10.1109/BIGCOMP.2014.6741443
Big Data and Smart Computing
Keywords
Field
DocType
geographic information systems,navigation,spatial data structures,visual databases,LOD,data representation scheme,data semantic levels,hierarchical data structure design,information hierarchy,large scale mobile applications,level of detail,real street building data,semantic DB schema,spatial semantic database design methodology,urban street navigation,data schema,hierarchical data structure,semantic LOD,spatial semantic database,urban navigation
Data modeling,Data mining,Data structure,External Data Representation,Information retrieval,Computer science,Database schema,IDEF1X,Hierarchical database model,Semantic computing,Semantic data model
Conference
ISSN
Citations 
PageRank 
2375-933X
1
0.39
References 
Authors
4
4
Name
Order
Citations
PageRank
Divya Udayan J110.39
HyungSeok Kim211622.09
Jee In Kim310.39
Keetae Kim410.39