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@article{988255,
author = {Novák, David and Batko, Michal and Zezula, Pavel},
article_number = {5},
doi = {http://dx.doi.org/10.1016/j.ipm.2010.12.004},
keywords = {Distributed data structures; Performance tuning; Similarity search; Scalability; Peer-to-peer structured networks; Metric space},
language = {eng},
issn = {0306-4573},
journal = {Information Processing and Management},
title = {Large-scale similarity data management with distributed Metric Index},
volume = {48},
year = {2012}
}
TY - JOUR
ID - 988255
AU - Novák, David - Batko, Michal - Zezula, Pavel
PY - 2012
TI - Large-scale similarity data management with distributed Metric Index
JF - Information Processing and Management
VL - 48
IS - 5
SP - 855-872
EP - 855-872
PB - ELSEVIER
SN - 03064573
KW - Distributed data structures
KW - Performance tuning
KW - Similarity search
KW - Scalability
KW - Peer-to-peer structured networks
KW - Metric space
N2 - Metric space is a universal and versatile model of similarity that can be applied in various areas of non-text information retrieval. However, a general, efficient and scalable solution for metric data management is still a resisting research challenge. In this work, we try to make an important step towards such management system that would be able to scale to data collections of billions of objects. We propose a distributed index structure for similarity data management called the Metric Index (M-Index) which can answer queries in precise and approximate manner. This technique can take advantage of any distributed hash table that supports interval queries and utilize it as an underlying index. We have performed numerous experiments to test various settings of the M-Index structure and we have proved its usability by developing a full-featured publicly-available Web application.
ER -
NOVÁK, David, Michal BATKO a Pavel ZEZULA. Large-scale similarity data management with distributed Metric Index. \textit{Information Processing and Management}. ELSEVIER, roč.~48, č.~5, s.~855-872. ISSN~0306-4573. doi:10.1016/j.ipm.2010.12.004. 2012.
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