Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Topological Relations Between Regions in R² and Z²
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Evaluating semantic similarity using GML in geographic information systems
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Querying by sketch geographical databases and ambiguities
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
GeoPQL: a geographical pictorial query language that resolves ambiguities in query interpretation
Journal on Data Semantics III
Exploiting qualitative spatial neighborhoods in the situation calculus
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Structural similarity in geographical queries to improve query answering
Proceedings of the 2007 ACM symposium on Applied computing
Query approximation by semantic similarity in GeoPQL
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
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In this paper the problem of matching a query with imprecise or missing data is analyzed for geographic information systems, and an approach for the relaxation query constraints is proposed. This approach, similarly with the 9-intersection matrix between two sets of points presented in [1] [2] [3], proposes the representation of two symbolic graphical objects (SGO) in terms of interior, boundary, and exterior points, applied to each of the configurations between two objects. The paper distinguishes the different configurations considering the results obtained from the 9 intersections, not only by whether results are null or not null. This approach allows a more detailed similarity graph to be defined. The aim of the proposed methodology is to relax geographical query constraints, in order to obtain meaningful answers for imprecise or missing data. In this paper the polyline-polygon case is discussed in detail.