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The potentials of formal concept analysis (FCA) for information retrieval have been highlighted by a number of research studies since its inception. With the advent of the Web along with the unprecedented amount of information coming from sources of heterogeneous data, FCA is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. In this paper, we focus on the unique features of FCA for searching in distributed heterogeneous information. The development of FCA-based applications for distributed heterogeneous information returns a major gain.