Document Type
Conference Proceeding
Publication Date
11-2007
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.
Repository Citation
Perry, M.,
Sheth, A. P.,
Hakimpour, F.,
& Jain, P.
(2007). Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data. Lecture Notes in Computer Science, 4853, 228-246.
https://corescholar.libraries.wright.edu/knoesis/722
DOI
10.1007/978-3-540-76876-0_15
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the Second International Geospatial Semantics Conference, Mexico City, Mexico, November 29-30, 2007.
Attached is the unpublished, author's version of this proceeding. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-76876-0_15.