<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zhang, Pengyi</style></author><author><style face="normal" font="default" size="100%">Yan Qu</style></author><author><style face="normal" font="default" size="100%">Chen Huang</style></author><author><style face="normal" font="default" size="100%">Jaeger, Paul T</style></author><author><style face="normal" font="default" size="100%">Wells, John</style></author><author><style face="normal" font="default" size="100%">Hayes, W Scott</style></author><author><style face="normal" font="default" size="100%">Hayes, James E</style></author><author><style face="normal" font="default" size="100%">Jin, Xin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Collaborative identification and annotation of government deep web resources: A hybrid approach</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 21st ACM conference on Hypertext and hypermedia</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year></dates><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><pages><style face="normal" font="default" size="100%">285-286</style></pages><isbn><style face="normal" font="default" size="100%">1450300413</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>