1. R. Smareglia 1, O. Laurino 2, M. Brescia 3 Jenam 2011 – Saint Petersburg 1 INAF - OATs 2 Smithsonian Astr. Obs. 3 INAF - OANa

2.  New services and new data continuously pop up, especially when the time domain comes into play (e.g. ELTs: LSST, OWL, ALMA, GAIA).  The Virtual Observatory is getting more and more alive  The interaction with the VO (in order to fetch data) is basically synchronous. ◦ complex queries may take some time to run. Jenam 2011 – Saint Petersburg

3.  A Dam can be useful  Vodka users can be kept updated asynchronously and automatically Jenam 2011 – Saint Petersburg

4.  expose the power of the VO but not its complexity;  make users perceive that the Virtual Observatory is alive, and easily understand whether the VO is useful to them or not;  try and pick the best features of the best existing VO data fetching tools;  give the user a quick glimpse of what he can find inside the VO;  save user’s inquiries;  Develop link with data mining specific tools for building datasets. Vodka is on it way to fully achieve all these goals. Jenam 2011 – Saint Petersburg

5.  VO newbies: no apps to download in order to start, automatic updates, live examples (no SQL, ADQL or other buzzwords whatsoever);  VO frequent flyers: many datasets (maybe inquiries) to manage, keeping up with new data;  Data miners: multi - cross matching, multi-BoK extraction. Jenam 2011 – Saint Petersburg

6.  An inquiry is defined by its searching criteria. It may carry only resources (Registry Inquiry) or also data (Data Inquiry) Jenam 2011 – Saint Petersburg

7. An inquiry consists of several snapshots; A snapshot consists of several resources each resource will have its own file. Jenam 2011 – Saint Petersburg

9.  Set up inquiries and decide the updating rate;  receive updates directly to their mailbox;  view inquiry details, i.e. the critera and the list of snapshots;  view snapshot details, i.e. the list of resources of a specific snapshot;  view the history of incremental time differences between snapshots, both in terms of resources and data;  download a single votable for the entire snapshot;  download a single votable for each resource in a snapshot, as it appeared when the snapshot was taken.  download incremental files (new data, old data, missing data);  broadcast data to SAMP-enabled applications (e.g. Topcat, Aladin) Jenam 2011 – Saint Petersburg

10.  Vokda 2.0 is under development (end of August) It must be a scalable application ( working on cluster )  Data mining specific tools for, e.g., BoK extraction;  Specific clients for most active services (e.g. simbad, ned, ads);  Add more capabilities (e.g. VO-TAP);  Finalize SOAP web service and client API packages (Java, Python);  Integration with VOSpace; Jenam 2011 – Saint Petersburg

13.  A web application (or a Rich Internet Application, RIA) accessible through a simple web browser, hence a web page enhanced by user dynamical interaction  The interface design objective behind DAME web application is to simulate the intuitive, immediate interaction of a traditional desktop application, but doesn’t require any local installation.  DAME apps provide in a transparent way all remote computing power and storage to the user (Cloud/Grid). Jenam 2011 – Saint Petersburg

14.  About Data Mining we are at level of “gold Prospector” Jenam 2011 – Saint Petersburg  With Vodka we have created a tool to improve the efficiency… (we hope).

15. Where you can find Vodka:  http://ia2.oats.inaf.it/vodka VOkda 2.0 is under test, will be on-line asap ( end of August ) DAME website:  http://dame.dsf.unina.it/ Jenam 2011 – Saint Petersburg