A Lattice-Based Semantic Location Model for Indoor Navigation

Author(s):  
Dandan Li ◽  
Dik Lun Lee
2019 ◽  
Vol 22 (3) ◽  
pp. 193-213 ◽  
Author(s):  
Xinyan Zhu ◽  
Tao Hu ◽  
Xinyue Ye ◽  
Wei Guo ◽  
Liang Huang ◽  
...  

2009 ◽  
pp. 2530-2566
Author(s):  
Soe-Tsyr Yuan ◽  
Pei-Hung Hsieh

A location model represents the inclusive objects and their relationships in a space and helps engender the values of location based services (LBS). Nevertheless, LBS for enterprise decision support are rare due to the common use of static location models. This chapter presents for enterprises a framework of dynamic semantic location modeling that is novel in three ways: (1) It profoundly brings location models into enterprise business models; (2) with a novel method of dynamic semantic location modeling, enterprises effectively recognize the needs of the clients and the partners scattered in different locations, advancing existing business relationships by exerting appropriate service strategies through their mobile workforces; (3) through the location model platform of information sharing, enterprises are empowered to discover potential business partners and predict the values of their cooperation, gaining competitive advantages when appropriate partnership deals are made by enterprise mobile workforces. This proposed framework has been implemented with the J2EE technology and attained the positive evidences of its claimed values.


Author(s):  
Soe-Tsyr Yuan ◽  
Pei-Hung Hsieh

A location model represents the inclusive objects and their relationships in a space, and helps engender the values of location based services (LBS). Nevertheless, LBS for enterprise decision support are rare due to the common use of static location models. This chapter presents for enterprises a framework of dynamic semantic location modeling that is novel at three-fold: (1) Profoundly bring into the enterprise business models the location models. (2) With a novel method of dynamic semantic location modeling, enterprises effectively recognize the needs of the clients and the partners scattering in different locations, advancing existing business relationships by exerting appropriate service strategies through their mobile workforces. (3) Through the Location Model Platform of information sharing, enterprises are empowered to discover the potential business partners and predict the values of their cooperation, gaining competitive advantages when appropriate partnership deals are made by enterprise mobile workforces. This proposed framework has been implemented with the J2EE technology and attained the positive evidences of its claimed values.


Author(s):  
Y. Zhou ◽  
G. Zeng ◽  
Y. Huang ◽  
X. Yang

Location is the basis for the realization of location services, the integrity of the location information and its way of representation in indoor space model directly restricts the quality of location services. The construction of the existing indoor space model is mostly for specific applications and lack of uniform representation of location information. Several geospatial standards have been developed to meet the requirement of the indoor spatial information system, among which CityGML LOD4 and IndoorGML are the most relevant ones for indoor spatial information. However, from the perspective of Location Based Service (LBS), the CityGML LOD4 is more inclined to visualize the indoor space. Although IndoorGML is mainly used for indoor space navigation and has description (such as geometry, topology, and semantics) benefiting for indoor LBS, this standard model lack explicit representation of indoor location information. In this paper, from the perspective of Location Based Service (LBS), based on the IndoorGML standard, an indoor space location model (ISLM) conforming to human cognition is proposed through integration of the geometric and topological and semantic features of the indoor spatial entity. This model has the explicit description of location information which the standard indoor space model of IndoorGML and CityGML LOD4 does not have, which can lay the theoretical foundation for indoor location service such as indoor navigation, indoor routing and location query.


ICLEM 2010 ◽  
2010 ◽  
Author(s):  
Yufeng Sun ◽  
Quanguo Zhang ◽  
Guangyin Xu
Keyword(s):  

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