Other formats:
BibTeX
LaTeX
RIS
@inbook{851220,
author = {Bartoň, Stanislav and Dohnal, Vlastislav and Sedmidubský, Jan and Zezula, Pavel},
address = {New York, NY, USA},
booktitle = {Computational Social Network Analysis},
keywords = {peer-to-peer networking; self-organizing structures; semantic overlay networks; social analysis; content-based information retrieval; metric space; similarity query; experimental evaluation},
howpublished = {tištěná verze "print"},
language = {eng},
location = {New York, NY, USA},
isbn = {978-1-84882-228-3},
pages = {49-80},
publisher = {Springer},
title = {Towards Self-organizing Search Systems},
url = {http://www.springer.com/computer/communications/book/978-1-84882-228-3},
year = {2010}
}
TY - CHAP
ID - 851220
AU - Bartoň, Stanislav - Dohnal, Vlastislav - Sedmidubský, Jan - Zezula, Pavel
PY - 2010
TI - Towards Self-organizing Search Systems
VL - Computer Communications and Networks
PB - Springer
CY - New York, NY, USA
SN - 9781848822283
KW - peer-to-peer networking
KW - self-organizing structures
KW - semantic overlay networks
KW - social analysis
KW - content-based information retrieval
KW - metric space
KW - similarity query
KW - experimental evaluation
UR - http://www.springer.com/computer/communications/book/978-1-84882-228-3
N2 - The huge amount of images, video and music clips produced by various digital devices everyday, must be processed. Firstly, this kind of data calls for content-based search or similarity search rather than keyword-based or text-based search. Secondly, new scalable and efficient methods capable of storing and querying such data must be developed. Although many distributed approaches exist, one of the most suitable and flexible is provided by self-organizing systems. These systems exhibit high resistance to failures in dynamically changing environments. In this chapter, we propose a general three-layer model for designing and implementing a self-organizing system that aims at searching in multimedia data. This model gives a developer guidelines what component must be implemented and how they should behave. The usability of this model is illustrated on a system called Metric Social Network. The architecture of this system is based on the social-network theory that is utilized for establishing links between nodes. The system's properties are verified by organizing and searching in 10 million images.
ER -
BARTOŇ, Stanislav, Vlastislav DOHNAL, Jan SEDMIDUBSKÝ and Pavel ZEZULA. Towards Self-organizing Search Systems. In \textit{Computational Social Network Analysis}. New York, NY, USA: Springer. p.~49-80. Computer Communications and Networks. ISBN~978-1-84882-228-3. 2010.
|
