In recent years, the data sharing has grown greatly given the height of web technologies and the need to conform communities for data sharing and data exchange (e.g., academia, social networks, government, enterprises, etc). In these environments the data management and data access have been changed regarding the traditional Databases leading to a new abstraction called Dataspaces. The data is usually produced in particular formats and intentions leading to notorious heterogeneity and opening, once again, problems like data access and the data integration considering the schema-less assumption. In this paper, we propose an approach to index a Dataspace in different abstraction levels to articulate the data access from Dataspace content to Dataspace storage.