Service Offer Discovery Using Genetic Algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F11%3A00191636" target="_blank" >RIV/68407700:21240/11:00191636 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6061098" target="_blank" >http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6061098</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ECOWS.2011.9" target="_blank" >10.1109/ECOWS.2011.9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Service Offer Discovery Using Genetic Algorithms

Popis výsledku v původním jazyce

Available service descriptions are often specified using abstract definitions of service attributes. However, service consumers are mainly interested in concrete, consumable service offers which are specified using concrete values of service attributes.Service offers, due to their request dependence and dynamicity, have to be generated on-the-fly what may require interaction with a service. We propose a service description model that facilitates creation of consumable service offers. A large number ofservice offers can be generated considering flexible search requests. In order to address that, we propose a novel approach to dynamic generation of service offers. Our approach is based on genetic algorithms and reduces the number of relevant service offers. For evaluation purposes we apply our approach to the shipping domain where real shipping services on the Web are used to prove the effectiveness and usability of our approach in a real-world domain.

Název v anglickém jazyce

Service Offer Discovery Using Genetic Algorithms

Popis výsledku anglicky

Available service descriptions are often specified using abstract definitions of service attributes. However, service consumers are mainly interested in concrete, consumable service offers which are specified using concrete values of service attributes.Service offers, due to their request dependence and dynamicity, have to be generated on-the-fly what may require interaction with a service. We propose a service description model that facilitates creation of consumable service offers. A large number ofservice offers can be generated considering flexible search requests. In order to address that, we propose a novel approach to dynamic generation of service offers. Our approach is based on genetic algorithms and reduces the number of relevant service offers. For evaluation purposes we apply our approach to the shipping domain where real shipping services on the Web are used to prove the effectiveness and usability of our approach in a real-world domain.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

9th IEEE European Conference on Web Services

ISBN

978-1-4577-1532-7

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

23-30

Název nakladatele

IEEE Computer Society Press

Místo vydání

New York

Místo konání akce

Lugano

Datum konání akce

14. 9. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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