Exploring Different Optimization Techniques for an External Multimedia Meta-Search Engine

Autor:	Sebastian Bayerl, Florian Stegmaier, Harald Kosch, Kai Schlegel, Mario Döller
Rok vydání:	2012
Předmět:	Query expansion Task (computing) Web search query Multimedia Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Social media Metasearch engine computer.software_genre Query optimization Query language computer Variety (cybernetics)
Zdroj:	International Journal of Multimedia Data Engineering and Management. 3:31-51
ISSN:	1947-8542 1947-8534
DOI:	10.4018/jmdem.2012100102
Popis:	Along with the tremendous growth of Social Media, the variety of multimedia sharing platforms on the Web is ever growing, whereas unified retrieval issues remain unsolved. Beside unified retrieval languages and metadata interoperability issues, a crucial task in such a retrieval environment is query optimization in federated and distributed retrieval scenarios. This work introduces three different dimensions of query optimization that have been integrated in an external multimedia meta-search engine. The main innovations are query execution planning, various query processing strategies as well as a multimedia perceptual caching system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3d1294dd9439e85669cdc47a1d6ec481 https://doi.org/10.4018/jmdem.2012100102 Zobrazit plný text záznamu Plný text ve formátu PDF