About: Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007/978-3-319-11988-5_21
Description	In the past few years, we have observed a trend of increasing cooperation between computer science and other empirical sciences such as physics, biology, or medical fields. This e-science synergy opens new challenges for the computer science and triggers important advances in other areas of research. In our particular case, we are facing an astroinformatics challenge of analysing stellar spectra in order to establish automated classification methods for recognizing different types of Be stars. We have chosen similarity search methods, which are effectively utilized in other domains like multimedia content-based retrieval for instance. This paper presents our analysis of the problematics and proposed a solution based on Signature Quadratic Form Distance and feature signatures. We have also conducted intensive empirical evaluation which allowed us to determine appropriate configuration for our similarity model. In the past few years, we have observed a trend of increasing cooperation between computer science and other empirical sciences such as physics, biology, or medical fields. This e-science synergy opens new challenges for the computer science and triggers important advances in other areas of research. In our particular case, we are facing an astroinformatics challenge of analysing stellar spectra in order to establish automated classification methods for recognizing different types of Be stars. We have chosen similarity search methods, which are effectively utilized in other domains like multimedia content-based retrieval for instance. This paper presents our analysis of the problematics and proposed a solution based on Signature Quadratic Form Distance and feature signatures. We have also conducted intensive empirical evaluation which allowed us to determine appropriate configuration for our similarity model. (en)
Title	Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics (en)
skos:prefLabel	Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics Employing Similarity Methods for Stellar Spectra Classification in Astroinformatics (en)
skos:notation	RIV/00216208:11320/14:10281372!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GA13-08195S), P(GP14-14292P), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Zavoral, Filip Bednárek, David Yaghob, Jakub Kruliš, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	14478
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/14:10281372
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	classification; astroinformatics; feature signatures; stellar spectra; SQFD; similarity (en)
http://linked.open.../riv/klicoveSlovo	feature signatures stellar spectra classification similarity astroinformatics SQFD
http://linked.open...ontrolniKodProRIV	[EA83F05C2A43]
http://linked.open...v/mistoKonaniAkce	Los Cabos, Mexiko
http://linked.open...i/riv/mistoVydani	Heidelberg, Germany
http://linked.open...i/riv/nazevZdroje	Similarity Search and Applications
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat Employing Modern Parallel Architectures in Specific Domains of Database Systems
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bednárek, David Yaghob, Jakub Zavoral, Filip Kruliš, Martin
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-29 (xsd:date)
issn	0302-9743
number of pages	12 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-319-11988-5_21
http://purl.org/ne...btex#hasPublisher	Springer-Verlag. (Berlin; Heidelberg)
https://schema.org/isbn	978-3-319-11987-8
http://localhost/t...ganizacniJednotka	11320

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