ZEZULA, Pavel. Future Trends in Similarity Searching. In Gonzalo Navarro and Vladimir Pestov. Proceedings of the Simimarity Search and Applications 2013. Heidelberg: Springer, 2012, p. 8 - 24. ISBN 978-3-642-32152-8. Available from: https://dx.doi.org/10.1007/978-3-642-32153-5_2.
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Basic information
Original name Future Trends in Similarity Searching
Name in Czech Budouci trendy podobnostniho hledani
Authors ZEZULA, Pavel (203 Czech Republic, guarantor, belonging to the institution).
Edition Heidelberg, Proceedings of the Simimarity Search and Applications 2013, p. 8 - 24, 17 pp. 2012.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/12:00057699
Organization unit Faculty of Informatics
ISBN 978-3-642-32152-8
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-32153-5_2
Keywords (in Czech) podobnost hledání systém trendy
Keywords in English similarity searching system trends
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 22/4/2013 23:46.
Abstract
Similarity searching has been a research issue for many years, and searching has probably become the most important web application today. As the complexity of data objects grows, it is more and more difficult to reason about digital objects otherwise than through the similarity. In this article, we first discuss concepts of similarity and searching in light of future perspectives before a concise history of similarity searching technology is presented. We use the historical knowledge to extend the trends to future.
Abstract (in Czech)
Podobnostni hledani je predmetem vyzkumu jiz delsi dobu. S rostouci slozitosti digitalnich dat je ale nutne stale vice a vice uvazovat o datech v intencich podobnosti. Clanek se zabyva analyzou drivesich postupu a snazi se predikovat trendy pro budoucnost.
Links
GBP103/12/G084, research and development projectName: Centrum pro multi-modální interpretaci dat velkého rozsahu
Investor: Czech Science Foundation
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