Research into information retrieval based on the combination of keyword and semantic concept
Zhang Ying-hai
Abstract
Zhang Ying-hai
Abstract
After analyzing the principle of Key words and concept retrieval,a new vector space model named SC-VSM based on the semantic concept retrieval was proposed. Meanwhile, based on the combination of SC-VSM and keywords retrieval, an approach was presented in which the combination parameters can be adjusted according to different domains in order to obtain the best information retrieval result. Experimental results show that the SC-VSM is superior to the VSM,the combinative approach can not only reserve the advantages of keywords retrieval and concept retrieval, but also compensate for their shortcomings.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
After analyzing the principle of Key words and concept retrieval,a new vector space model named SC-VSM based on the semantic concept retrieval was proposed. Meanwhile, based on the combination of SC-VSM and keywords retrieval, an approach was presented in which the combination parameters can be adjusted according to different domains in order to obtain the best information retrieval result. Experimental results show that the SC-VSM is superior to the VSM,the combinative approach can not only reserve the advantages of keywords retrieval and concept retrieval, but also compensate for their shortcomings.
Key concepts: Computer science, Vector space model, Information retrieval, Key (lock), Data mining, Computer security