Comments on: Semantic XBRL Transparency, Verification, and ‘Raw Data Now’ http://hitachidatainteractive.com/2009/05/07/semantic-xbrl-transparency-verification-and-%e2%80%98raw-data-now%e2%80%99/ XBRL News and Commentary from the Hitachi XBRL Business Unit Wed, 18 Jan 2012 04:45:40 +0000 hourly 1 http://wordpress.org/?v=3.1.2 By: Ashu Bhatnagar http://hitachidatainteractive.com/2009/05/07/semantic-xbrl-transparency-verification-and-%e2%80%98raw-data-now%e2%80%99/comment-page-1/#comment-25815 Ashu Bhatnagar Fri, 08 May 2009 02:02:38 +0000 http://hitachidatainteractive.com/?p=552#comment-25815 Both good points in my view. 1) Transparency and verifiability of data is critical and your suggestion matches the title of this post. However, these same issues are addressed in a more holistic manner from a knowledge management point of view and defined by W3C under the architecture layers of 'Trust', 'Proof' and 'Crypto'. The terms transparency, consistency, verifiability are covered by not labeled as such in the Semantic Web architecture diagram. 2) Practically all statistical applications for analytics (including correlations analysis) are at the layered apps level (shown at the top of the architecture stack diagram) and are fully supported by the underlying semantic web technology. Both good points in my view.

1) Transparency and verifiability of data is critical and your suggestion matches the title of this post. However, these same issues are addressed in a more holistic manner from a knowledge management point of view and defined by W3C under the architecture layers of 'Trust', 'Proof' and 'Crypto'. The terms transparency, consistency, verifiability are covered by not labeled as such in the Semantic Web architecture diagram.

2) Practically all statistical applications for analytics (including correlations analysis) are at the layered apps level (shown at the top of the architecture stack diagram) and are fully supported by the underlying semantic web technology.

]]> By: Chris Dreyer http://hitachidatainteractive.com/2009/05/07/semantic-xbrl-transparency-verification-and-%e2%80%98raw-data-now%e2%80%99/comment-page-1/#comment-25793 Chris Dreyer Thu, 07 May 2009 22:20:09 +0000 http://hitachidatainteractive.com/?p=552#comment-25793 This may be beside the point of this post, but in my view (the market view?), trust is not a proxy for transparency, but quite the obverse: you rely on trust when you don't know. Let's not go to the religious dimension of things, but rather, let's stick to Keynes' animal spirits in that regard ... I think the non-technical term you're looking for is more like consistency / verifiability? On a completely different note, I have a major issue (lack of understanding?) with the application of Semantic Web technology in finance: It doesn't do statistical relationships, does it? And if so, could brute force be a satisficing proxy for correlations and the like, however fickle? This may be beside the point of this post, but in my view (the market view?), trust is not a proxy for transparency, but quite the obverse: you rely on trust when you don't know. Let's not go to the religious dimension of things, but rather, let's stick to Keynes' animal spirits in that regard ... I think the non-technical term you're looking for is more like consistency / verifiability?

On a completely different note, I have a major issue (lack of understanding?) with the application of Semantic Web technology in finance: It doesn't do statistical relationships, does it? And if so, could brute force be a satisficing proxy for correlations and the like, however fickle?

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