Paper Info
Title
Multi-domain data search and retrieval: A service-oriented Life Science scenario
Abstract
The value of currently available services and data resides not only in the information and knowledge they bring, but also in how they can be effectively integrated to infer new knowledge. With the growth in size of such data, integration and search become computational intensive tasks; planning and optimization of the way in which joined combinations are extracted is required to obtain results and get them efficiently. This paper discusses the challenging aspects of querying heterogeneous data sources and efficiently integrating the retrieved results, also effectively taking into account retrieved partial ranked values. The solutions adopted in the new Search Computing (SeCo) infrastructure, more precisely the server-side aspects of the framework, are illustrated in a Life Science scenario, where they allow discovering answers to complex biomedical questions.
Year
DOI
Venue
2011
10.1109/CBMS.2011.5999045
CBMS
Keywords
Field
DocType
search computing infrastructure,multi-domain data search,new search computing,service-oriented life science scenario,life science scenario,heterogeneous data source querying,information retrieval,computational intensive task,heterogeneous data source,new knowledge,challenging aspect,multidomain data search-retrieval,knowledge acquisition,server-side aspect,complex biomedical questions,computational intensive tasks,available service,complex biomedical question,gene expression,proteins,biological process,bioinformatics,biological processes,engines,data integrity
Data science,Data mining,Search computing,Information retrieval,Ranking,Computer science,Data search,Multi domain,Service oriented,Knowledge acquisition
Conference
ISSN
ISBN
Citations 
1063-7125
978-1-4577-1189-3
0
PageRank 
References 
Authors
0.34
15
3
Name
Order
Citations
PageRank
Giorgio Ghisalberti1465.34
Marco Masseroli2131.74
Salvatore Vadacca3849.10