<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Girgis, M.R.</style></author><author><style face="normal" font="default" size="100%">Aly, A.E.-M.A.</style></author><author><style face="normal" font="default" size="100%">Latef, B.A.A.</style></author><author><style face="normal" font="default" size="100%">El-Gamil, B.R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Biological model for information retrieval</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Digital Information Management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Biological environment</style></keyword><keyword><style  face="normal" font="default" size="100%">Biological model</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">Information retrieval</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.scopus.com/inward/record.url?eid=2-s2.0-70350691855&amp;partnerID=40&amp;md5=22f8442d6b340f89f18dd39e3c99ed99</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">123 - 129</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Heuristic methods based on biological aspects have been successfully used in many computer science areas of research, including information retrieval (IR). This let us ask: why there is no biological environment for the problem of information retrieval. In this paper, we tried to introduce a new biological environment and model for information retrieval that broad the modeling concept from the mathematical formula that simulates the basic elements of IR problem to their dual schemas in biology. It's a new way of thinking of, and dealing with, the problem of information retrieval.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><notes><style face="normal" font="default" size="100%">Export Date: 10 July 2014</style></notes></record></records></xml>