Interactive Toolbox for Spatial-Textual Preference Queries View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Florian Wenzel , Dominik Köppl , Werner Kießling

ABSTRACT

Spatial-textual data is ubiquitous on websites such as OpenStreetMap or Wikipedia and is published progressively by Open Government Data Initiatives. Those data sources provide the base for novel mashup applications for Location-Based Services. We present a mobile prototype for the San Francisco area based on Preference SQL that allows an intuitive expression of spatial keyword queries. Search can further be extended towards temporal, categorical, and numerical attributes. Our demo provides a fully flexible toolbox for generating extended spatial-textual queries in non-metric spaces which are evaluated using a Best-Matches-Only query model. Spatial relevance is defined by an asymmetric routing distance supporting complex geometries. Textual relevance is determined using the Apache Lucene library. More... »

PAGES

462-466

Book

TITLE

Advances in Spatial and Temporal Databases

ISBN

978-3-642-40234-0
978-3-642-40235-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-40235-7_29

DOI

http://dx.doi.org/10.1007/978-3-642-40235-7_29

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1004670014


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