Research on semi-structured data by intelligent retrieval in archives management
JIN Bao-hua
ZHANG Xing
GUO Xiao-juan
Abstract：The from variely and large volume of archival data especially the complexity of semi-structured data caused great difficulties in management of archives.Considering this,an intelligent information retriev-al system based on ontology was proposed.This process of the system was composed of two parts:the first part was dealing with the semi-structured data.The method of feature data extraction was used to make fea-ture extraction to serni-structure data and then reformed them into structure data.The second part was the implemantation of the intelligence retrieval by using logical reasoning based on ontology to realize intelli-gent retrieval in semantic level.The experimental results showed that compared with the traditional key-word-based retrieval,the intelligent retrieval system greatly improved in the recall and accuracy.
Keywords：semi-structured dataontology reasoningintelligent retrievalarchives management
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 81-84 )