DocumentCode
2980390
Title
A novel approach of components retrieval in large-scale component repositories
Author
Zhang, Lei ; Chen, Lichao ; Pan, Lihu ; Zhang, Yingjun
Author_Institution
Sch. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear
2012
fDate
22-24 June 2012
Firstpage
220
Lastpage
223
Abstract
For improving the retrieval performance of large-scale component repositories, a novel approach of components retrieval, Automatic Tags Extraction(ATE) retrieval, is proposed in this paper. In this method, component tags are extracted automatically from application domain terms, high-frequency terms, high-weight terms and facet terms in description document of component at first, and then the improved VSM (Vector Space Mode) similarity algorithm is used to retrieve on the tags. Our experiments show that, compared with some common retrieval methods, the ATE retrieval is more feasible and efficient.
Keywords
document handling; information retrieval; object-oriented programming; vectors; ATE retrieval; application domain terms; automatic tags extraction retrieval; components retrieval; description document; facet terms; high-frequency terms; high-weight terms; improved VSM similarity algorithm; improved vector space mode similarity algorithm; large-scale component repositories; Indexes; Quality of service; Support vector machine classification; automatic tags extraction; component retrieval; software component; web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2007-8
Type
conf
DOI
10.1109/ICSESS.2012.6269445
Filename
6269445
Link To Document