Supporting complex thematic, spatial and temporal queries over semantic web data

  • Authors:

  • Matthew Perry;Amit P. Sheth;Farshad Hakimpour;Prateek Jain

  • Affiliations:

  • Kno.e.sis Center, Department of Computer Science and Engineering, Wright State University, Dayton, OH;Kno.e.sis Center, Department of Computer Science and Engineering, Wright State University, Dayton, OH;LSDIS Lab, Department of Computer Science, University of Georgia, Athens, GA;Kno.e.sis Center, Department of Computer Science and Engineering, Wright State University, Dayton, OH

  • Venue:
  • GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, the analytical process requires uncovering and analyzing complex thematic relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful for this purpose. However, these analysis mechanisms are primarily intended for thematic relationships. In this paper, we describe a framework built around the RDF metadata model for analysis of thematic, spatial and temporal relationships between named entities. We discuss modeling issues and present a set of semantic query operators. We also describe an efficient implementation in Oracle DBMS and demonstrate the scalability of our approach with a performance study using a large synthetic dataset from the national security domain.