Continuous visible nearest neighbor queries

Yunjun Gao, Baihua Zheng, Wang Chien Lee, Gencai Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations

Abstract

In this paper, we identify and solve a new type of spatial queries, called continuous visible nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query line segment Paq, a CVNN query returns a set of 〈p, R〉 tuples such that p ∈ P is the nearest neighbor (NN) to every point r along the interval R ⊆ Paq as well as p is visible to r. Note that p may be NULL, meaning that all points in P are invisible to all points in R, due to the obstruction of some obstacles in O. In this paper, we formulate the problem and propose efficient algorithms for CVNN query processing, assuming that both P and O are indexed by R-trees. In addition, we extend our techniques to several variations of the CVNN query. Extensive experiments verify the efficiency and effectiveness of our proposed algorithms using both real and synthetic datasets.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th International Conference on Extending Database Technology
Subtitle of host publicationAdvances in Database Technology, EDBT'09
Pages144-155
Number of pages12
DOIs
StatePublished - Sep 21 2009
Event12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09 - Saint Petersburg, Russian Federation
Duration: Mar 24 2009Mar 26 2009

Publication series

NameProceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09

Other

Other12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT'09
CountryRussian Federation
CitySaint Petersburg
Period3/24/093/26/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software

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