Paper
6 August 2007 Research on designing ontologies for location-based services
Gang Cheng, Qingyun Du, Zhongliang Cai, Maojun Huang, Haiyun Zhao
Author Affiliations +
Abstract
With the far and wide applications of Location-Based Services (LBS), the call for more semantic and accurate services is emerging. From a semantic viewpoint, the major characteristic of, and challenge for, LBS is the fact that they serve as mediator between a possibly unknown user and possibly a priori unknown services. While some geographic information technology standards provide the basis for syntactic interoperability, they do not yet provide methods for dealing with problems of semantic heterogeneity. In this paper we design ontologies for LBS which are used for the identification and association of semantically corresponding concepts to overcome the semantic problems. In order to better understand the semantic content of the data in LBS, we analyze several elements both data and services involved. Then, we model these data and services in a way that captures their peculiarities and allows their sharing between users and services and exchange among different LBS, when desired. For this, we use the Protégé-OWL plug-in for creating hybrid hierarchy of ontologies to enhance the semantic content both the user information and the services have. To argue about the design choices and show their applicability, we present a simple example from a characteristic real world application.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gang Cheng, Qingyun Du, Zhongliang Cai, Maojun Huang, and Haiyun Zhao "Research on designing ontologies for location-based services", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67542X (6 August 2007); https://doi.org/10.1117/12.765231
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Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Standards development

Databases

Information technology

Chemical elements

Roads

Taxonomy

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