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This paper describes a systematic review's results that aimed to verify the state of the art about potential consumer profiles of linked and open data in smart cities. An initial screening of 300 papers was carried out, which underwent a criteria's selection aiming to identify the papers that deal with the application of open data and linked data in any domain of smart cities or that carry out a more theoretical evaluation of the subject matter involving end-users in smart cities. As a result, it was noticed that the semantic web studies are still concerned with technical issues, but that there are already researchers concerned with Computer-Human Interaction perspectives for data access that profiles of citizens present in smart cities. Based on this, a profile's taxonomy was developed to assist the development of platforms focused on citizens, which can help in features' identification and knowledge mapping for each profile.