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ETD Abstract Container

Abstract Header

A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data

Perry, Matthew Steven
http://rave.ohiolink.edu/etdc/view?acc_num=wright1219267560

Abstract Details

2008, Doctor of Philosophy (PhD), Wright State University, Computer Science and Engineering PhD.
Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often 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. This dissertation proposes a framework built around the RDF data model for analysis of thematic, spatial and temporal relationships between named entities. We present a spatiotemporal modeling approach that uses an upper-level ontology in combination with temporal RDF graphs. A set of query operators that use graph patterns to specify a form of context are formally defined, and an extension of the W3C-recommended SPARQL query language to support these query operators is presented. We also describe an efficient implementation of the framework that extends a state-of-the-art commercial database system. We demonstrate the scalability of our approach with a performance study using both synthetic and real-world RDF datasets of over 25 million triples.
Amit Sheth, PhD (Advisor)
Krishnaprasad Thirunarayan, PhD (Committee Member)
Soon Chung, PhD (Committee Member)
Christopher Barton, PhD (Committee Member)
Kate Beard, PhD (Committee Member)
196 p.
Computer Science
Ontology; Semantic Analytics; RDF; RDF Query Processing, Spatial Query Processing; Temporal Query Processing

Recommended Citations

Citations

  • Perry, M. S. (2008). A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1219267560

    APA Style (7th edition)

  • Perry, Matthew. A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data. 2008. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1219267560.

    MLA Style (8th edition)

  • Perry, Matthew. "A Framework to Support Spatial, Temporal and Thematic Analytics over Semantic Web Data." Doctoral dissertation, Wright State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1219267560

    Chicago Manual of Style (17th edition)

wright1219267560
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© 2008, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.