PROCESSING CONTINUOUS QUERIES ON SENSOR-BASED MULTIMEDIA DATA STREAMS BY MULTIMEDIA DEPENDENCY ANALYSIS AND ONTOLOGICAL FILTERING-Reference-Cited by-同舟云学术

PROCESSING CONTINUOUS QUERIES ON SENSOR-BASED MULTIMEDIA DATA STREAMS BY MULTIMEDIA DEPENDENCY ANALYSIS AND ONTOLOGICAL FILTERING

Published:2011-12 Issue:08 Volume:21 Page:1169-1208
ISSN:0218-1940
Container-title:International Journal of Software Engineering and Knowledge Engineering
language:en
Short-container-title:Int. J. Soft. Eng. Knowl. Eng.

Author:

CHANG SHI-KUO¹,COLACE FRANCESCO²,ZHAO LEI³,SUN YAO¹

Affiliation:

1. Department of Computer Science, University of Pittsburgh, Pittsburgh, PA 15260, USA

2. Department of Electronic and Computer Engineering, University of Salerno, Fisciano, SA 84084, Italy

3. School of Computer Science and Technology, Soochow University Suzhou, 215006, China

Abstract

We present a mathematical model of multimedia data streams and a framework for multimedia functional dependency analysis. The dual objectives are to effectively design multimedia data streams schema and to efficiently process continuous queries on sensor-based multimedia data streams. To further improve query processing, we introduce the concept of ontological filtering. A software tool to add multimedia functional dependencies to ontology is developed. Based upon multimedia functional dependency analysis and ontological filtering, query processing algorithms, illustrative examples and experimental results for sensor-based multimedia data streams continuous querying are presented to demonstrate the practical applications of our approach.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218194011005669

Reference15 articles.

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