<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tereza Iofciu</style></author><author><style face="normal" font="default" size="100%">Jörg Diederich</style></author><author><style face="normal" font="default" size="100%">Peter Dolog</style></author><author><style face="normal" font="default" size="100%">Wolf-Tilo Balke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ExpertFOAF Recommends Experts</style></title><secondary-title><style face="normal" font="default" size="100%"> 1st ExpertFinder Workshop</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://www.ifis.cs.tu-bs.de/sites/default/files/biblio/expert07_pdf_12725.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Berlin, Germany</style></pub-location><abstract><style face="normal" font="default" size="100%">Today, FOAF files are only utilized for publishing simple information about persons and their respective community. Our proposal is to extend a user’s FOAF file by an automatically generated user profile. If a general classification of interests (for instance in the form of a taxonomy) is given, these profiles can be represented in an IR-style fashion by histograms expressing the degree of interest in each topic. Our main assumption is that such user profiles can then provide good hints about the users’ expertise.</style></abstract></record></records></xml>