F. Bessai-Mechmache, Karima Hammouche, Z. Alimazighi
{"title":"A Genetic Algorithm-Based XML Information Retrieval Model","authors":"F. Bessai-Mechmache, Karima Hammouche, Z. Alimazighi","doi":"10.1109/ACIT50332.2020.9300048","DOIUrl":null,"url":null,"abstract":"Finding the valuable relevant information continues to be the major challenges of Information Retrieval Systems owing to the explosive growth of online web information. Among these challenges, we consider the XML Information Retrieval challenges as XML has become a de facto standard over the Web. In this paper, we tackle the issue of content-based XML information retrieval. We formulate the retrieval issue as a combinatorial optimization problem in order to generate the best set of relevant XML elements for a given keywords query. In our proposal, we define a genetic algorithm which maximizes similarity between a set of XML elements and the user query. The results based on the precision measure are very promising.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 21st International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT50332.2020.9300048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Finding the valuable relevant information continues to be the major challenges of Information Retrieval Systems owing to the explosive growth of online web information. Among these challenges, we consider the XML Information Retrieval challenges as XML has become a de facto standard over the Web. In this paper, we tackle the issue of content-based XML information retrieval. We formulate the retrieval issue as a combinatorial optimization problem in order to generate the best set of relevant XML elements for a given keywords query. In our proposal, we define a genetic algorithm which maximizes similarity between a set of XML elements and the user query. The results based on the precision measure are very promising.