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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269445