Semantic Integration of Heterogeneous Recognition Systems

Paweł Kaczmarek; Piotr Raszkowski

doi:10.1007/978-3-642-25085-9_34

Semantic Integration of Heterogeneous Recognition Systems

Abstract

Computer perception of real-life situations is performed using a variety of recognition techniques, including video-based computer vision, biometric systems, RFID devices and others. The proliferation of recognition modules enables development of complex systems by integration of existing components, analogously to the Service Oriented Architecture technology. In the paper, we propose a method that enables integration of information from existing modules to calculate results that are more accurate and complete. The method uses semantic description of concepts and reasoning to manage syntactic differences between information returned by modules. The semantic description is based on existing real-world concepts in video recognition and ubiquitous systems. We propose helper functionalities such as: module credibility rating, confidence level declaration and selection of communication protocol. Two integration modes are defined: voting of matching concepts and aggregation of complementing concepts.

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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: LECTURE NOTES IN COMPUTER SCIENCE pages 288 - 295,
ISSN: 0302-9743
Language:: English
Publication year:: 2011
Bibliographic description:: Kaczmarek P., Raszkowski P.: Semantic Integration of Heterogeneous Recognition Systems// LECTURE NOTES IN COMPUTER SCIENCE. -., nr. Nr 7042 (2011), s.288-295
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-642-25085-9_34
Verified by:: Gdańsk University of Technology