In recent years, we have witnessed entity profiling (EP) becoming increasingly one of the most important topics in information extraction, personalized applications, and web data analysis. EP aims to identify, extract and represent a compact summary of valuable information about an entity based on the data related to it. In order to determine how EP systems have developed, during the last years, this paper reviews EP systems through a survey of the literature, from 2000 to 2015. To fulfill this aim, we introduce a comparison framework to compare and classify EP systems. Our comparison framework is composed of thirteen criteria that include: profiling source, the entity being modeled, the information constitutes the profile, representation schema, profile construction technique, scale, scope/target domain, language, updating mechanism, enrichment technique, dynamicity, evaluation method, and application among others. Then, using the comparison framework, we discuss the development of the field in recent year and list some of the open problems and main trends that have emerged in the area of EP to provide a proper guideline for researchers to develop or use robust profiling systems with suitable features according to their needs.
