Query evaluation: strategies and optimizations
Information Processing and Management: an International Journal
Spatio-temporal visualization of urban crimes on a GIS grid
Proceedings of the 8th ACM international symposium on Advances in geographic information systems
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Efficient query processing in geographic web search engines
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Software Review: Spatial Data Analysis of Crime
Social Science Computer Review
STEWARD: architecture of a spatio-textual search engine
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
An integrated framework for spatio-temporal-textual search and mining
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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This paper proposes a STT(spatio-temporal-textual) search engine for extracting, indexing, querying and visualizing crime information. Until recently, it's a labor-intensive work to identify crime entities, cluster similar suspect activities, and discover patterns from massive online collections. It's a big challenge to reveal inherent ST(spatio-temporal) correlations among mass crime information. It's getting more difficult considering the subjectivity and vagueness of information retrieval from narratives of victims or witness and online documents of social networks. We have developed a crime search engine for Washington DC metropolitan area that includes geo-temporal-tagger, STT indexer, heuristic query and ranker and dynamical ST visualization. It assists crime detection for investigators, identification of crime trends and patterns for decision makers and researchers, and security of city life for residents and journalists.