A new information search model is reported and the design and implementation of a system based on intelligent agent is presented. The system is an assistant information retrieval system which helps users to search wha...A new information search model is reported and the design and implementation of a system based on intelligent agent is presented. The system is an assistant information retrieval system which helps users to search what they need. The system consists of four main components: interface agent, information retrieval agent, broker agent and learning agent. They collaborate to implement system functions. The agents apply learning mechanisms based on an improved ID3 algorithm.展开更多
This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems an...This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems and roots from the input data.One of the main challenges facing the light stemming algorithm is cutting off the input word,to extract the initial segments.When initiating the light stemmer with strong initial segments,the final extracting stems and roots will be more accurate.Therefore,a new enhanced segmentation based on deploying the Direct Acyclic Graph(DAG)model is utilized.In addition to extracting the powerful initial segments,the main two procedures(i.e.,stems and roots extraction),should be also reinforced with more efficient operators to improve the final outputs.To validate the proposed enhanced stemmer,four data sets are used.The achieved stems and roots resulted from our proposed light stemmer are compared with the results obtained from five other well-known Arabic light stemmers using the same data sets.This evaluation process proved that the proposed enhanced stemmer outperformed other comparative stemmers.展开更多
The paper reviews how human-centered artificial intelligence and securityprimitive have influenced life in the modern world and how it’s useful inthe future. Human-centered A.I. has enhanced our capabilities by the w...The paper reviews how human-centered artificial intelligence and securityprimitive have influenced life in the modern world and how it’s useful inthe future. Human-centered A.I. has enhanced our capabilities by the wayof intelligence, human informed technology. It has created a technologythat has made machines and computer intelligently carry their function.The security primitive has enhanced the safety of the data and increasedaccessibility of data from anywhere regardless of the password is known.This has improved personalized customer activities and filled the gapbetween the human-machine. This has been successful due to the usageof heuristics which solve belowems by experimental, support vector machinewhich evaluates and group the data, natural language processingsystems which change speech to language. The results of this will lead toimage recognition, games, speech recognition, translation, and answeringquestions. In conclusion, human-centered A.I. and security primitivesis an advanced mode of technology that uses statistical mathematicalmodels that provides tools to perform certain work. The results keep onadvancing and spreading with years and it will be common in our lives.展开更多
W eb数据中的质量参差不齐、可信度不高以及冗余现象造成了网络信息检索工具存储和运算资源的极大浪费,并直接影响着检索性能的提高。现有的网络数据清理方式并非专门针对网络信息检索的需要,因而存在着较大不足。本文根据对检索用户的...W eb数据中的质量参差不齐、可信度不高以及冗余现象造成了网络信息检索工具存储和运算资源的极大浪费,并直接影响着检索性能的提高。现有的网络数据清理方式并非专门针对网络信息检索的需要,因而存在着较大不足。本文根据对检索用户的查询行为分析,提出了一种利用查询无关特征分析和先验知识学习的方法计算页面成为检索结果页面的概率,从而进行网络数据清理的算法。基于文本信息检索会议标准测试平台的实验结果证明,此算法可以在保留近95%检索结果页面的基础上清理占语料库页面总数45%以上的低质量页面,这意味着使用更少的存储和运算资源获取更高的检索性能将成为可能。展开更多
文摘A new information search model is reported and the design and implementation of a system based on intelligent agent is presented. The system is an assistant information retrieval system which helps users to search what they need. The system consists of four main components: interface agent, information retrieval agent, broker agent and learning agent. They collaborate to implement system functions. The agents apply learning mechanisms based on an improved ID3 algorithm.
文摘This paper introduces a new enhanced Arabic stemming algorithm for solving the information retrieval problem,especially in medical documents.Our proposed algorithm is a light stemming algorithm for extracting stems and roots from the input data.One of the main challenges facing the light stemming algorithm is cutting off the input word,to extract the initial segments.When initiating the light stemmer with strong initial segments,the final extracting stems and roots will be more accurate.Therefore,a new enhanced segmentation based on deploying the Direct Acyclic Graph(DAG)model is utilized.In addition to extracting the powerful initial segments,the main two procedures(i.e.,stems and roots extraction),should be also reinforced with more efficient operators to improve the final outputs.To validate the proposed enhanced stemmer,four data sets are used.The achieved stems and roots resulted from our proposed light stemmer are compared with the results obtained from five other well-known Arabic light stemmers using the same data sets.This evaluation process proved that the proposed enhanced stemmer outperformed other comparative stemmers.
文摘The paper reviews how human-centered artificial intelligence and securityprimitive have influenced life in the modern world and how it’s useful inthe future. Human-centered A.I. has enhanced our capabilities by the wayof intelligence, human informed technology. It has created a technologythat has made machines and computer intelligently carry their function.The security primitive has enhanced the safety of the data and increasedaccessibility of data from anywhere regardless of the password is known.This has improved personalized customer activities and filled the gapbetween the human-machine. This has been successful due to the usageof heuristics which solve belowems by experimental, support vector machinewhich evaluates and group the data, natural language processingsystems which change speech to language. The results of this will lead toimage recognition, games, speech recognition, translation, and answeringquestions. In conclusion, human-centered A.I. and security primitivesis an advanced mode of technology that uses statistical mathematicalmodels that provides tools to perform certain work. The results keep onadvancing and spreading with years and it will be common in our lives.
