A description of structural change in a central place system: a speculation using q-analysis
International Journal of Man-Machine Studies
Q-analysis of user-database interaction
International Journal of Man-Machine Studies
Personal and Ubiquitous Computing
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
A Topological Data Model for Spatial Databases
SSD '89 Proceedings of the First Symposium on Design and Implementation of Large Spatial Databases
A Hybrid Location Model with a Computable Location Identifier for Ubiquitous Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
On location models for ubiquitous computing
Personal and Ubiquitous Computing
When location-based services meet databases
Mobile Information Systems
Geometric and topological approaches to semantic text retrieval
Geometric and topological approaches to semantic text retrieval
A unified semantics space model
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Indoor Space: A New Notion of Space
W2GIS '08 Proceedings of the 8th International Symposium on Web and Wireless Geographical Information Systems
Understanding latent semantic indexing: A topological structure analysis using Q-analysis
Journal of the American Society for Information Science and Technology
A fine-grained context-dependent model for indoor spaces
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Generating semantic-based trajectories for indoor moving objects
WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management
| Hi-index | 0.00 |
Location-based services (LBSs) play more and more important roles in our daily life with the prevalence of mobile devices and the internet. Location modeling is a significant research topic in LBSs, which is needed to provide a well-defined representation of location knowledge for location browsing, navigation and query processing. In this paper, we propose that a topological structure can be attached to an exit-location space model, which can preserve the topology and distance semantics between locations (exits). The Q-analysis developed by R. H. Atkin is used to analyze the semantic information of the model. Compared with those existing models which only reveal the relationships between two entities, this novel model can provide the analysis of n-ary relationships (i.e., the relations among n entities) from both local and global viewpoints. Moreover, by using the rich structures obtained from the topological analysis, we define a semantic distance which can support more meaningful navigation and queries on complicated indoor environments. Examples are described in detail to demonstrate the effectiveness of our model.