The online reputation management systems help to the consumers to make buying decisions looking for opinions in the web about many products offered by companies, also interested in the same opinions. This paper presents the system developed by the SINAI research group at the WEPS-3 task, called Online Reputation Management. Given a Twitter entry and a company name, the goal is to decide if the entry talks about this company. Our system is based on the use of linguistic information in Twitters entries for extracting information and creating an XML data collection about companies referred in the Twitter entries. This XML collection is filled extracting information from Internet web pages, like Wikipedia, and the use of the DBpedia ontology. Using this collection and some logical rules we have developed a promising system, with a very good precision and easily extensible with the addition of new rules and other Internet resources.