Semantics-aware warehousing of symbolic trajectories

Goce Trajcevski*, Ivana Donevska, Alejandro Vaisman, Besim Avci, Tian Zhang, Di Tian

*Corresponding author for this work

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

1 Scopus citations

Abstract

We address the problem of extending the querying capabilities of Trajectories Data Warehouses (TDW) for symbolic trajectories, by introducing Semantic Relatedness (SR) as part of the formal model. This enables capturing the similarity between different annotations describing Points of Interest (POI), locations and activities. We formally define the inclusion of the relationship between different terms used as descriptors in symbolic trajectories and present the Semantic Relatedness in Trajectories Data Warehouse (SR-TDW) model. We introduce newly enabled queries in the SR-TDW model and illustrate the impacts of the added functionality. Our experiments demonstrate the benefits of the proposed approaches in terms of enriching the answer-sets for the common OLAP-based queries, and the sensitivity in terms of the various measures of semantic similarity.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015
EditorsAbdeltawab Hendawi, Farnoush Banaei-Kashani, Chengyang Zhang
PublisherAssociation for Computing Machinery, Inc
Pages1-8
Number of pages8
ISBN (Electronic)9781450339711
DOIs
StatePublished - Nov 3 2015
Event6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015 - Seattle, United States
Duration: Nov 3 2015 → …

Publication series

NameProceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015

Other

Other6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015
CountryUnited States
CitySeattle
Period11/3/15 → …

Keywords

  • Semantic Relatedness
  • Trajectory Warehouses

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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  • Cite this

    Trajcevski, G., Donevska, I., Vaisman, A., Avci, B., Zhang, T., & Tian, D. (2015). Semantics-aware warehousing of symbolic trajectories. In A. Hendawi, F. Banaei-Kashani, & C. Zhang (Eds.), Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015 (pp. 1-8). (Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2015). Association for Computing Machinery, Inc. https://doi.org/10.1145/2833165.2833174