A graphical query language supporting recursion
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
A conceptual theory of part-whole relations and its applications
Data & Knowledge Engineering - Special issue on modeling parts and wholes
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
SPARQ2L: towards support for subgraph extraction queries in rdf databases
Proceedings of the 16th international conference on World Wide Web
A note on the transitivity of parthood
Applied Ontology
The SPARQL Query Graph Model for Query Optimization
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
SPARQL Graph Pattern Rewriting for OWL-DL Inference Query
NCM '08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management - Volume 02
nSPARQL: A Navigational Language for RDF
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Extending SPARQL with regular expression patterns (for querying RDF)
Web Semantics: Science, Services and Agents on the World Wide Web
Supporting complex thematic, spatial and temporal queries over semantic web data
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Spatially-augmented knowledgebase
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Moving beyond SameAs with PLATO: partonomy detection for linked data
Proceedings of the 23rd ACM conference on Hypertext and social media
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Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying ontology's containing spatial information, the precise relationships between spatial entities has to be specified in the basic graph pattern of SPARQL query which can result in long and complex queries. We present a novel approach to help users intuitively write SPARQL queries to query spatial data, rather than relying on knowledge of the ontology structure. Our framework re-writes queries, using transformation rules to exploit part-whole relations between geographical entities to address the mismatches between query constraints and knowledge base. Our experiments were performed on completely third party datasets and queries. Evaluations were performed on Geonames dataset using questions from National Geographic Bee serialized into SPARQL and British Administrative Geography Ontology using questions from a popular trivia website. These experiments demonstrate high precision in retrieval of results and ease in writing queries.