Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited through the use of predefined web forms and interactive interfaces that users navigate manually, and assume responsibility for reconciling schema heterogeneity, mediating missing information, extracting information and piping, transformating formats and so on in order to implement desired query sequences or scientific work flows. In this paper, we present a new data management system, called LifeDB, in which we offer support for currency without view materialization and autonomous reconciliation of schema heterogeneity in one single platform through a declarative query language called BioFlow. In our approach, schema heterogeneity is resolved at run time by treating the hidden web resources as a virtual warehouse, and by supporting a set of primitives for data integration on-the-fly, for extracting information a...