Before going any further, let’s get a few things crystal clear;

1. The recent success of the Linked Data meme is long overdue, very welcome, and entirely capable of carrying the Web of Data far beyond its current niche adherents. A lot of my current work involves arguing that more organisations should adopt this approach;
2. The Resource Description Framework, RDF, is a key — and powerful — piece in W3C‘s Semantic Web Architecture. Since its earliest days, I have played various parts in advocating the potential of RDF and will continue to do so;
3. RDF is an obvious means of publishing — and consuming — Linked Data powerfully, flexibly, and interoperably. I will continue to argue this, and to advocate its wider adoption.

So far, so good.

The problem, I contend, comes when well-meaning and knowledgeable advocates of both Linked Data and RDF conflate the two and infer, imply or assert that ‘Linked Data’ can only be Linked Data if expressed in RDF.

This dogmatism makes me deeply uncomfortable, and I find myself unable to agree with the underlying premise.

The rest of this post attempts to explain why, hopefully more lucidly than I or those with whom I was debating managed on Friday evening via the largely unsuitable medium of the 140 character tweet.

Andy Powell started things off lucidly enough on Friday, asking;

“is there an agreed name for an approach that adopts the 4 principles of #linkeddata minus the phrase, ‘using the standards (RDF, SPARQL)’ ??”

I was amongst those to respond, suggesting as I usually do that;

“well, personally, I’d argue that Linked Data does NOT require that phrase. But I know others disagree…  ”

Other pieces of that conversation can be extracted from the stream; start by scrolling to the bottom, find Andy’s tweet, and work back toward the top.

It’s worth noting that two of those arguing most vehemently against me were former colleagues Ian Davis and Leigh Dodds. I have massive respect for the technical prowess of both (which is certainly greater than my own), and have learned a great deal from Ian in particular over the years that we have known one another. This issue, though, is one on which we have long disagreed, and it was interesting to see the subject of many a difference of opinion in the bars of various conference hotels spill into this public arena.

Anyway, now let me try to explain what I meant.

Perhaps the most commonly cited definition for Linked Data is the one to which Andy was referring; Sir Tim Berners-Lee‘s Linked Data – Design Issues document. It’s worth noting that this document is clearly flagged (in the current version amended on 18 June 2009, at least) as being both a ‘personal view only’ and ‘imperfect but published.’ So a very long way from being a ‘standard,’ ‘specification,’ or ‘definition,’ but certainly still a pretty good starting point, and one to which I often direct clients and others.

Berners-Lee begins,

“The Semantic Web isn’t just about putting data on the web. It is about making links, so that a person or machine can explore the web of data.  With linked data, when you have some of it, you can find other, related, data.”

(my emphasis)

That sounds good, doesn’t it? Indeed, we talked about that on the Linked Data panel I moderated at the recent Semantic Technology Conference, and I’ve embedded the video here.

It is the next section of Berners-Lee’s document that is used to validate the view that Linked Data needs RDF;

“1. Use URIs as names for things

2. Use HTTP URIs so that people can look up those names

3. When someone looks up a URI, provide useful information, using the standards (RDF, SPARQL)

4. Include links to other URIs. so that they can discover more things.

(my emphasis)”

On one reading, an unambiguous validation of the view with which I disagree. On another, a suggestion of best practice, expressed as part of a ‘personal view’ with which we are perfectly entitled to take issue.

Would the zealots be calmed by the simple insertion of ‘preferably’ or ‘ideally,’ immediately after point three’s second comma? Maybe. Or perhaps the fires of Linked Data’s self-appointed Inquisition would be stoked for Berners-Lee himself.

Talk of Linked Data, Open Data, the Web of Data and related concepts in recent years have led to a quite remarkable shift in attitude amongst individuals, public bodies and private corporations. Almost everywhere my work takes me, clever people are seriously grappling with the implications of consuming from or contributing to these emerging ecosystems. Not all of their questions have good answers, and not all of the technological, strategic and business implications have necessarily been fully worked through. But these people are asking the questions, and they are asking them in all seriousness.That is a dramatic and welcome shift.

Some, such as the BBC, Thomson Reuters and the UK Government’s Central Office of Information are sufficiently persuaded of the benefits to take risks and to open the previously closed in taking a lead. Others will follow, as fears are assuaged, doubts eased, and benefits realised.

Despite this undoubted progress, the green shoots of a Linked Data ecology remain delicate. By moving from a message that stresses the value of unambiguous and web-addressable naming (HTTP URIs), providing ‘useful information,’ and enabling people to ‘discover more things’ by linking toward a message that elevates one of the best mechanisms (RDF) for achieving this to become the only permissible approach, we do the broader aims great harm.

Yes, those already in the club will probably be very pleased with the purity and functionality of the toys in their playground. But they will have barred a far larger group with data to share, a willingness to learn, and an enthusiasm to engage. At best, they will have slowed the growth of the pool of Linked Data quite dramatically. At worst, they will have created an increasingly irrelevant backwater that more pragmatic people will simply route around. Perhaps, in their pragmatism, those people will now never look seriously at RDF and its power, scared away by the fervour of those who sought to elevate it too high, and too fast.

What are we after? More Linked Data, or more RDF? I sincerely hope it’s the former.

So let’s see loads more Linked Data, and plenty of evangelism as to why RDF could be the best way to do it. But let’s not ostracise the vast majority of potential participants, contributors and beneficiaries in the world of Linked Data, just because they haven’t wholeheartedly embraced RDF yet.

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There has been some coverage of the recent announcement by UK Prime Minister, Gordon Brown, that Sir Tim Berners-Lee will be helping the UK Government to make more of its data available for use and reuse. Charles Arthur at the Guardian was quick off the mark, and the BBC’s Rory Cellan-Jones followed through with an interesting telephone conversation, the full content of which is now available.

“So that government information is accessible and useful for the widest possible group of people, I [Gordon Brown] have asked Sir Tim Berners-Lee who led the creation of the world wide web, to help us drive the opening up of access to Government data in the web over the coming month.”

The ‘coming month’? Singular??? That’s definitely what the transcript says…

Readers of this blog will be no strangers to Berners-Lee, the Linked Data movement, or the opportunities to apply some of its ideas to mainstream applications in the public and private sectors.

It’s good to see the mainstream attention. Now all we have to do is make the most of opportunities like this (and similar initiatives emerging from the Obama administration) to deliver on the promise.

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Twenty years ago today, Tim Berners-Lee prepared the CERN memo that built upon existing principles such as hypertext and  — eighteen months later — gave birth to the World Wide Web.

This Web of Documents has exceeded most people’s wildest expectations since reaching mainstream awareness on the back of graphical tools such as the Mosaic web browser, but the data behind so many decisions, analyses and visualisations largely remains inaccessible even today.

Berners-Lee spoke at TED last month, and I wrote about it at the time. ReadWriteWeb has an article today that includes the video of that presentation, which should also be in the TED archive later today.

In his talk, Berners-Lee describes the notion of Linked Data and attempts to illustrate the advances that could be made if we were all able to contribute and consume data in the same way that we do today with documents, images, and the like. He refers to the visually compelling work of Hans Rosling (with whom I recorded a podcast last year), and suggests that more data will enable more (and hopefully better) such analysis.

The principles behind this notion of Linked Data are simple in the extreme, and a growing community of enthusiasts is already at work to make ever-more data visible.

This is not some ‘new’ Web; not a replacement for the Web of today. Rather, it’s an evolution of today’s Web that makes today’s applications and interactions richer and more capable, whilst laying the foundations for services as yet unimagined.

Watch Tim’s talk, wish the Web a Happy Birthday, then get on and do your bit.

Raw Data, Now!

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I am travelling to San Diego next week to speak about the importance of evolving Enterprise attitudes to data. Borrowing some nice turns of phrase from Sir Tim Berners-Lee‘s recent TED talk and JP Rangaswami‘s keynote to Powered by Cloud, amongst other things I’ll be suggesting that they ‘stop hugging their data’ and move ‘from data centre to data centric.’

The Linked Data initiative, which began in March of 2007 as a community project supported by W3C‘s Semantic Web Education & Outreach (SWEO) Interest Group (of which I was a member), has been a huge success. Described by Berners-Lee as ‘the Web done right,’ the notion of Linked Data rests upon the acceptance of four simple principles, yet opens the door to previously unanticipated re-use of data scattered across the Web.

The most rapid adoption has, unsurprisingly, been seen in terms of liberally licensed data already visible on the Web in some form. DBpedia, for example, is a community effort to extract structured information from Wikipedia and expose the individual facts for use across the Web. There have also been examples — as always justified by hacker mentality, ‘academic freedom,’ the imprimatur of ‘research,’ or the expectation that the perpetrators are ‘too small’ to be noticed — in which data have been appropriated to the cause without due care and attention to the rights of the data owner, but these isolated cases should certainly not detract from the value of the broader effort.

Public Interest data from organisations such as the BBC has also begun to appear in the ‘Linked Data Cloud‘ (click on individual data sets for more),  and the frequency and strength of reciprocal links between participating resources grows rapidly.

Enterprise data is effectively invisible to this Cloud, which brings me back to Andreas’ first post. In it, he asks;

“Since the [Linked Data] cloud is kind of the basic infrastructure which drives the whole process – this layer should remain a freely accessible one. But how could new business models be built on top of it (and constantly spend money on maintaining and extending the underlying infrastructure)?

Where could enterprises start using Linked Data? Only by retrieving data from the ‘outside’ and mash it up with the ‘inside’ – only one way?”

I can certainly see cases in which cautious corporates will be willing to consume without contributing in return, and there’s clearly work to do in demonstrating the value that they could gain from more balanced participation; participation that should never mean unwillingly ‘giving away’ competitive advantage or sensitive data.

We have an annoying tendency to view data in our databases as an indivisible mass, vigorously and unthinkingly applying the same (expensive) protections to an uninteresting and low-value factoid of underlying context as we do to the core attributes of our next big lead.

Andreas concludes this post by suggesting something very similar to JP Rangaswami’s notion of ‘data centric’;

“Information has no ‘place’ anymore, energy can’t be shipped around the world. We should rethink the meaning of a ‘data store’ and information will flow without flooding us. Linked Data might become the essence.”

Andreas’ second post followed after he’d listened to the most recent episode of the Semantic Web Gang, which I Chair. During the show, recorded last month, we discussed the latest release from Thomson Reuters‘ Open Calais activity, which sees it embrace Linked Data’s principles whilst continuing to run and grow a viable global business.

Andreas extrapolates from the conversation to suggest that a viable business model for the data-curating Enterprise might be to expose timely and accurate enrichments to the Linked Data ecosystem; enrichments that customers might pay a premium to access more quickly or in more convenient forms than are available for free. He also sees a market for application builders that optimise the flow of information, and both of these are certainly possible.

The Linked Data — the Data Web — opportunity is far greater, though, and too little attention is being devoted to it by Linked Data’s advocates as they concentrate their efforts on big public datasets of the sort Berners-Lee discussed in Long Beach last week. Big public data sets are important, and Berners-Lee is right to suggest that more Open and Linked access to the outputs of scholarship will help in our efforts to tackle many of the world’s ills. There’s as much value locked up inside our commercial enterprises too, though, and yet the rationale that will ultimately lead to us unlocking this is quite different.

It is that rationale which we need to get right, almost certainly without mentioning ‘RDF’, ‘Semantic Web,’ or even ‘Open.’

And if you’re in Southern California next week too, why not come and say ‘Hi’…?

‘Sunrise over San Diego‘ image © Alon Banks, 2007

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