Network Information Utilization Technology Based on Information Retrieval Technology

2022 ◽  
pp. 189-196
Author(s):  
Jing Fang ◽  
Jun Liu ◽  
Youchen Chen
Keyword(s):  
Information Retrieval ◽  
Information Utilization ◽  
Network Information

An Information Retrieval Expansion Model Based on Wikipedia

2014 ◽  
Vol 977 ◽  
pp. 464-467
Author(s):  
Li Xin Gan ◽  
Wei Tu
Keyword(s):  
Information Retrieval ◽  
Classification Accuracy ◽  
Query Expansion ◽  
Semantic Network ◽  
Computational Cost ◽  
Retrieval Performance ◽  
Network Information ◽  
Key Technologies ◽  
Query Classification ◽  
Expansion Model

Query expansion is one of the key technologies for improving precision and recall in information retrieval. In order to overcome limitations of single corpus, in this paper, semantic characteristics of Wikipedia corpus is combined with the standard corpus to extract more rich relationship between terms for construction of a steady Markov semantic network. Information of the entity pages and disambiguation pages in Wikipedia is comprehensively utilized to classify query terms to improve query classification accuracy. Related candidates with high quality can be used for query expansion according to semantic pruning. The proposal in our work is benefit to improve retrieval performance and to save search computational cost.

The Data Mining Application Research and Resolution Based on Network Information Retrieval

2015 ◽  
Vol 713-715 ◽  
pp. 2491-2494
Author(s):  
Jian Hao Xu
Keyword(s):  
Data Mining ◽  
Information Retrieval ◽  
Rapid Development ◽  
Information Filtering ◽  
Information Resources ◽  
Network Information ◽  
Modern Computer ◽  
The People ◽  
Standard Rate ◽  
Visualization Technology

With the rapid development of modern computer technology, network has become people to pass information to each other a fast channel. The network information resources is very large, however, the people to find information resources needed to bring a lot of inconvenience. After recent years of rapid development of network information retrieval, on solving this problem have played a role, to a certain extent, meet the needs of the user to retrieve information, but in the test or not on the standard rate. This article through to the concept of data mining method, discusses the application of data mining in current network information retrieval. Data mining is analyzed with the combination of information filtering and visualization technology, thus improve the efficiency of network information retrieval, make up for the inadequacy of existing retrieval tools.

Demonstration of the Use of Tape-Recorded Information from a High Vacuum Electron Microscope

1969 ◽  
Vol 27 ◽  
pp. 218-219
Author(s):  
Richard E. Hartman ◽  
Roberta S. Hartman ◽  
Peter L. Ramos
Keyword(s):  
Information Retrieval ◽  
Electron Microscope ◽  
Magnetic Tape ◽  
High Vacuum ◽  
Data Retrieval ◽  
Electronic Information ◽  
Electronic Data ◽  
Subsequent Processing ◽  
Continuous Record

We have long felt that some form of electronic information retrieval would be more desirable than conventional photographic methods in a high vacuum electron microscope for various reasons. The most obvious of these is the fact that with electronic data retrieval the major source of gas load is removed from the instrument. An equally important reason is that if any subsequent analysis of the data is to be made, a continuous record on magnetic tape gives a much larger quantity of data and gives it in a form far more satisfactory for subsequent processing.

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