The Design of Web Information Automatic Retrieval System Based on Multi-agent

2009 ◽  
Author(s):  
Qu Jubao ◽  
Liu Sheng ◽  
Ye Qiusun
Keyword(s):  
Retrieval System ◽  
Web Information ◽  
Automatic Retrieval ◽  
Multi Agent

scholarly journals A Multi-Agent Based Approach to Short Message Service (SMS) Normalization System

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Olusola Adesina
Keyword(s):  
Information Retrieval ◽  
Short Message Service ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Short Message ◽  
Human Judgment ◽  
Web Information Retrieval ◽  
Web Information ◽  
Message Service ◽  
Multi Agent

SMS language is characterized by fashion and user’s creativity but needs a transformation to proper English words or spelling to formulate natural language and text processing activities. The proposed application, Web Information Retrieval System Architecture Based on SMS (WIRSABoSMS), normalizes SMS language to retain its original syntactic structure. The concept of mobile agents in web technology was introduced as a medium to achieving Short Message Service (SMS) normalization. SMS normalization was carried out with the adoption of multi-agent technology, as agents are involved in character search, sort, and compare of the strings written in SMS form into its parental orthography. This architecture was designed based on web information retrieval system (IRS) in order to achieve SMS normalization. BLEU (bilingual evaluation understudy) was used to evaluate the quality of text. BLEU scores compare the human judgment with that of the machine translation using two set of corpora. The outcome of syntactic text message normalization recorded an average of 90% performance (for the corpus collected from researchers) when compared with the similar test conducted with human judgment using BLEU scores metric in an health-related domain.

Handling linguistic web information based on a multi-agent system

2007 ◽  
Vol 22 (5) ◽  
pp. 435-453 ◽  
Author(s):  
Zheng Pei ◽  
Da Ruan ◽  
Yang Xu ◽  
Jun Liu
Keyword(s):  
Multi Agent System ◽  
Agent System ◽  
Web Information ◽  
Multi Agent

Research on Retrieval System for Soil Taxonomy

2014 ◽  
Vol 519-520 ◽  
pp. 1525-1528
Author(s):  
Yang Zhan
Keyword(s):  
Retrieval System ◽  
Hot Spot ◽  
Soil Classification ◽  
Soil Science ◽  
Soil Types ◽  
Rule Engine ◽  
Soil Taxonomy ◽  
Rule Based ◽  
Automatic Retrieval ◽  
Almost All

Automatic classification retrieval for soil types has become a hot spot in the study of soil science and related fields in recent years. But almost all the studies ignored that the retrieval rules need to made revision continuously. When the retrieval rules have changed, we had to rewrite the reasoning code. It hinders the popularization and application of automatic soil classification retrieval system. This paper attempts to utilize the rule engine technique to solve the problem mentioned above. According to "Keys to Chinese Soil Taxonomy", the rule based on the form of RuleML was established, which can be modified and expanded easily. Finally, the automatic retrieval system for Soil Taxonomy is implemented with NxBRE.

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