Spatially-augmented knowledgebase

Authors:
Dave Kolas;Troy Self
Affiliations:
BBN Technologies, Arlington, VA;BBN Technologies, Arlington, VA
Venue:
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Year:
2007

Citing 5
Cited 7

The Grid File: An Adaptable, Symmetric Multikey File Structure

ACM Transactions on Database Systems (TODS)
Qualitative Spatial Representation and Reasoning with the Region Connection Calculus

Geoinformatica
Spatial SQL: A Query and Presentation Language

IEEE Transactions on Knowledge and Data Engineering
Embracing "Web 3.0"

IEEE Internet Computing
LUBM: A benchmark for OWL knowledge base systems

Web Semantics: Science, Services and Agents on the World Wide Web

The KBMS Project and Beyond

Conceptual Modeling: Foundations and Applications
An agenda for the next generation gazetteer: geographic information contribution and retrieval

Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
SPARQL Query Re-writing Using Partonomy Based Transformation Rules

GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
Deep integration of spatial query processing into native RDF triple stores

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Modeling and querying metadata in the semantic sensor web: the model stRDF and the query language stSPARQL

ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Strabon: a semantic geospatial DBMS

ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Enabling the geospatial Semantic Web with Parliament and GeoSPARQL

Semantic Web - On linked spatiotemporal data and geo-ontologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

As an increasing number of applications on the web contain some elements of spatial data, there is a need to efficiently integrate Semantic Web technologies and spatial data processing. This paper describes a prototype system for storing spatial data and Semantic Web data together in a SPatially-AUgmented Knowledgebase (SPAUK) without sacrificing query efficiency. The goals are motivated through use several use cases. The prototype's design and architecture are described, and resulting performance improvements are discussed.