In the recent years, web has turned into a ''Web of Data'' with a significant increase in the number of users looking for direct access to the data embedded in web pages. At the same time, a large amount of Linked Open Data (LOD) is available on line which allows effective exploration and navigation. However, there are still needs to bridge the gap between different data sources and formats, for improving data analysis, data integration and information retrieval. This paper focuses on Lattice Based Data Access (LBDA), a framework following the lines of Ontology Based Data Access (OBDA) and which is based on Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA). In this way, operations such as query answering on data are carried out on concept lattices which are acting a representation and an indexing of data. The LBDA framework provides a view over LOD with reference to data and constraints provided by a user, and it helps in information retrieval and knowledge discovery thanks to FCA and RCA.