- From: David Huynh <dfhuynh@google.com>
- Date: Fri, 12 Nov 2010 08:54:02 -0800
- To: Kingsley Idehen <kidehen@openlinksw.com>
- Cc: Leigh Dodds <leigh.dodds@talis.com>, Linked Data community <public-lod@w3.org>
- Message-ID: <AANLkTi=c4rY=FACnHBGjn_n2-y5H=PssBoKx0aeCzZhQ@mail.gmail.com>
On Fri, Nov 12, 2010 at 6:52 AM, Kingsley Idehen <kidehen@openlinksw.com>wrote: > David: > I hope you understand that if a response doesn't start with: > "Congratulations David...", it doesn't mean I am criticizing your work. You > know me much better than that, I hope, as per my comments above to Leigh. > Kingsley, of course, I was just ... picking on you :-) 'cause every first response I get from you is along the line, "does it do RDF?" :-) No, I don't "do" RDF anymore, but I give away ideas, UI designs, code, and make my stuff extensible so that if you want to do RDF on it, you can. I just asked a question, where the focus of the question was scoped to an > area of Google Refine that I hadn't looked into i.e., beyond its core ETL > functionality. Again, an aspect, not the whole thing. > > FWIW - I watched the video after sending my initial mail, and it didn't > answer my question re. endgame. None of that diminishes the splendor of > Google Refine. Anyway, when we're done with Pivot, a lot of the ramblings we > had (offline) should become much clearer i.e., the area that I've always > been interested in i.e., making Linked Data absolute fun for end-users, and > in the process evolve them into "Citizen Data Analysts". We took this > journey once before via ODBC, but ODBC has platform specificity, data model, > and data representation limitations that don't exist in the Linked Data > realm. On the other hand though, ODBC ecosystem established solid patterns > (loose coupling of compliant applications and drivers) that made it fun -- > once you got past the aforementioned shortcomings. I'm pretty sure we're on the same page regarding the big vision: make data more fun, more useful, and easier to deal with. My focus is on a smaller and more immediate problem: how to let people handle messy data (without having to resort to programming, or a $500K enterprise level data analysis package). There are plenty of existing ETL software products, and even open source projects http://code.google.com/p/google-refine/wiki/RelatedSoftware But Refine is intended to be for non-expert users and one-off use cases (as opposed to building a persistent data pipeline). David
Received on Friday, 12 November 2010 16:54:40 UTC