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

2012 ◽  
Vol 3 (4) ◽  
pp. 31-51
Author(s):  
Kai Schlegel ◽  
Florian Stegmaier ◽  
Sebastian Bayerl ◽  
Harald Kosch ◽  
Mario Döller
Keyword(s):  
Search Engine ◽  
Query Optimization ◽  
Optimization Techniques ◽  
Query Execution ◽  
Meta Search Engine ◽  
Processing Strategies ◽  
Different Dimensions ◽  
Distributed Retrieval ◽  
Meta Search ◽  
The Web

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.

Finding information on the World Wide Web: A specialty meta–search engine for the academic community

First Monday ◽  
2005 ◽  
Author(s):  
Yaffa Aharoni ◽  
Ariel Frank ◽  
Snunith Shoham
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Information Needs ◽  
Academic Community ◽  
Medical Community ◽  
Basic Premise ◽  
Research Areas ◽  
Meta Search Engine ◽  
Meta Search ◽  
The Web

The Web is continuing to grow rapidly and search engine technologies are evolving fast. Despite these developments, some problems still remain, mainly, difficulties in finding relevant, dependable information. This problem is exacerbated in the case of the academic community, which requires reliable scientific materials in various specialized research areas. We propose that a solution for the academic community might be a meta–search engine which would allow search queries to be sent to several specialty search engines that are most relevant for the information needs of the academic community. The basic premise is that since the material indexed in the repositories of specialty search engines is usually controlled, it is more reliable and of better quality. A database selection algorithm for a specialty meta–search engine was developed, taking into consideration search patterns of the academic community, features of specialty search engines and the dynamic nature of the Web. This algorithm was implemented in a prototype of a specialty meta–search engine for the medical community called AcadeME. AcadeME’s performance was compared to that of a general search engine — represented by Google, a highly regarded and widely used search engine — and to that of a single specialty search engine — represented by the medical Queryserver. From the comparison to Google it was found that AcadeME contributed to the quality of the results from the point of view of the academic user. From the comparison to the medical Queryserver it was found that AcadeMe contributed to relevancy and to the variety of the results as well.

Improving Takuan to Analyze a Meta-Search Engine WS-BPEL Composition

2008 ◽  
Author(s):  
Manuel Palomo-Duarte ◽  
Antonio García-Domínguez ◽  
Inmaculada Medina-Bulo
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search

Multi-agent Meta-search Engine Based on Domain Ontology

2007 ◽  
pp. 269-274 ◽  
Author(s):  
Marat Kanteev ◽  
Igor Minakov ◽  
George Rzevski ◽  
Petr Skobelev ◽  
Simon Volman
Keyword(s):  
Search Engine ◽  
Domain Ontology ◽  
Meta Search Engine ◽  
Multi Agent ◽  
Meta Search

Bibliographical Meta Search Engine for the Retrieval of Scientific Articles

2007 ◽  
pp. 458-461 ◽  
Author(s):  
Artur Gajek ◽  
Stefan Klink ◽  
Patrick Reuther ◽  
Bernd Walter ◽  
Alexander Weber
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search

Classification of Authors for a Recommendation Process Integrated to a Scientific Meta-Search Engine

2020 ◽  
pp. 159-167
Author(s):  
Amelec Viloria ◽  
Tito Crissien ◽  
Omar Bonerge Pineda Lezama ◽  
Luciana Pertuz ◽  
Nataly Orellano ◽  
...  
Keyword(s):  
Search Engine ◽  
Meta Search Engine ◽  
Meta Search
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