This paper expounds the basic characteristics of network information resources and the basic principle and method of information organization,expounds the management tactics,organization mode and management method of network information resources in university library.
This article mainly applies evaluation indexes of network information resource to evaluate Blog of library and intelligence science with some qualitatively and quantitatively combined methods. It also compares the result with information and communication academic database of CNKI and library science database of CNKI and explains the reason of the difference.
With the development of network information technology,the pattern of traditional information services in libraries has not been able to fit in with the needs of the development of network environment.
This paper presents a model of personalized Internet information retrieval based on ontology,The model 's realization can partially reduce the over-loading of the Internet information and provide the personalized information retrieval services to improve the accuracy of the Internet information retrieval.
Moreover, Arnetminer constructs a social network among these researchers through their co-authorship, and utilizes this network information as well as the individual profiles to facilitate expertise oriented search tasks.
At present, network information audit system is almost based on text information filtering, but badness information is embedded into image or image file directly by badness information provider, in order to avoid monitored by.
This system is capable of collecting road network information and creating digital road network effectively by means of GPS, GIS and multi-sensor integration.
The Web collection of electronic materials on Internet information resources for analytical chemistry (http://www.geokhi.ru/~rusanalytchem/Resources/ default.htm) is reviewed.
The Web information retrieval is a highly popular, but also a challenging research area, which considerably differs from the classical information retrieval theory.
In addition, the distribution characteristics of web information are also analyzed, which demonstrates that the link popularity and replica popularity of a URL have positive influence on its importance.
On the other hand, semantic web information extraction is a language-dependent problem, which requires particular natural language processing techniques.
The performance evaluation is based on Monte Carlo simulations of data transmission and average bit error rates versus the average signal to noise ratio per net information bit are presented for different array configurations.