<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>RESSIST: a research object-based&#13;
recommender system</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Carlos</mods:namePart><mods:namePart type="family">Badenes Olmedo</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The scientific method is a methodological approach to the process of inquiry { in which&#13;
empirically grounded theory of nature is constructed and verified [14]. It is a hard, exhaustive and dedicated multi-stage procedure that a researcher must perform to achieve&#13;
valuable knowledge. Trying to help researchers during this process, a recommender system, intended as a researcher assistant, is designed to provide them useful tools and&#13;
information for each stage of the procedure. A new similarity measure between research&#13;
objects and a representational model, based on domain spaces, to handle them in dif&#13;
ferent levels are created as well as a system to build them from OAI-PMH (and RSS)&#13;
resources. It tries to represents a sound balance between scientific insight into individual&#13;
scientific creative processes and technical implementation using innovative technologies&#13;
in information extraction, document summarization and semantic analysis at a large&#13;
scale.</mods:abstract><mods:classification authority="lcc">Informática</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2015-07</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>ETSI_Informatica;Inteligencia_Artificial</mods:publisher></mods:originInfo><mods:genre>Tesis</mods:genre></mods:mods>