The whole team is present once more, and we start the show discussing the implications of Drupal 7 and its newly formalised RDFa-publishing capabilities. Unlike regular semantic technology solutions, which someone has to consciously procure as a Semantic Technology solution, Drupal is first and foremost a (popular, free) Content Management System; the semantic smarts come for free, and therefore reach a massive new audience.

From there, we move into a broader discussion of the ways in which semantic projects take root within organisations.

Have a listen, and let us know what you think. As ever, suggestions for future topics or guests are always welcome.

@theSemanticLink is the show’s Twitter id, which we will use to invite questions ahead of shows on particular topics. If you’d like to ask questions, comment on shows, hear about new episodes as they’re released, etc, please do sign up to follow.

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A somewhat hectic June concluded with my second trip of the month to California. Whilst the first excursion led to Santa Clara and an interesting insight into attempts by Hitachi Data Systems to reinvent its relationship with the wider community, the second journey took me to San Francisco and a pair of events that lie at the heart of the advances that underpin much of my current work.

The Semantic Technology Conference celebrated its sixth year in 2010, moving from San Jose to the Hilton Union Square in Downtown San Francisco. This was my fourth (I think!) year, and alongside the “30% increase in attendance” to around 1,200, I noticed a refreshing realism amongst presenters, exhibitors and attendees; the hyperbole and inflated expectations of the “Google killers” thankfully seemed mostly to have been replaced by good ideas, sound business models, and steadily growing customer bases. Richard MacManus has been doing a good job of distilling some of the news from the event, and pushing it out on ReadWriteWeb.

Across town at UCSF’s Mission Bay Campus, GigaOM‘s smaller and younger Structure Conference broke out of its previous 1-day format to pack two days with various insights into the shifting Cloud Computing landscape; insights that were reported as they happened on GigaOM and elsewhere, and preserved on video for you to watch at your leisure.

Both events were smoothly run (at least one even brings in the same professional A/V team every year, don’t they Curtiss?), buzzing, and well worth attending. Unfortunately, for me at least, ‘attendance’ meant a near-unending stream of meetings and briefings in and around the venues, rather than much time spent listening to either carefully orchestrated programme. Lining up briefings, meetings and the rest seemed like such a good idea as this trip was planned. Participating in two events simultaneously, I persuaded myself, would be fine. And it mostly was, even though there were definitely times that I couldn’t quite remember where I was. Sitting down with John Hagel, looking blank, then saying “Hmm… so tell me about the Cloud,” was probably not the best way to get started with someone I’d been looking forward to meeting for a very long time. Delayed jetlag from the week before? Jetlag from the outbound flight earlier that same week? MUNI-lag from crossing back and forth between venues? Too much coffee? Not having quite got around to eating that day? Too many appointments in rapid succession? Or just impending senility? Whatever the reason, Hagel coped admirably with his pathetic interviewer’s opening gambit, and we went on to have a great conversation. More on that, his latest book, and his team’s Cloud Computing: Storms on the Horizon paper in due course, I suspect.

Despite starting from very different places (a sizeable chunk of the SemTech audience would not be out of place at an academic conference, whilst most of Structure’s attendees probably stalked the halls of Tim O’Reilly’s earliest Web 2.0 events), the perceived gulf between the real worlds of Cloud Computing and the Semantic Web grows narrower all the time. Companies like Facebook attend one to talk about the Open Graph protocol, and address issues of scale at the other. With Cloud infrastructures’ (yes, that apostrophe is correctly placed) capabilities ever-more commoditised by the day, value and differentiation move toward putting those assets to work in tackling real business challenges; challenges that require data, challenges that depend upon business buy-in, and challenges that benefit from lessons the Semantic Web community has learned in grappling with its transition toward a range of (hopefully) sustainable data businesses.

I have long believed in the fusion of the two (‘Cloud of Data,’ after all), but it was both refreshing and reassuring to observe the growing convergence in hallway conversation at each event. At SemTech, many were reaching toward ‘the Cloud’ (mostly, they meant ‘using Amazon’) in its simplest, purest, form. At Structure, many of those with whom I spoke were reaching for Semantic Technologies and some of Linked Data’s promise, without initially recognising that for which they sought. The Semantic Web, to them, was all too often just a discredited pipe dream from the Web’s distant past. The Semantic Web community of today is a very different place, and one with which Structure’s attendees might find much in common. The danger for the Semantic Web community, of course, is that they once more become absorbed in internal debate or the purity of the model. They may have powerful ideas and technologies to offer, but they need to reach out and describe those in ways that resonate with an industry that is ripe for hearing these messages. Delay too long, or descend too far into re-imagining technical underpinnings, and this fleeting opportunity will be lost; the bright young things of Silicon Valley will just develop something else that does the job almost as well, then iterate rapidly as they mine the flow to observe what works, and what doesn’t.

Personally, I am still absorbing the cacophony of ideas, contacts and opportunities arising from my week in San Francisco, but I am sure that there are plenty of projects, stories, podcasts and other follow-ups to appear here and elsewhere over the next few months.

And finally, an appeal to the organisers; can you locate these events a little closer together next year, please?!

Disclosures: Costs for my trip to Santa Clara were met in full by HDS. Both the Semantic Technology Conference and GigaOM’s Structure Conference supplied Analyst Passes for admission to their events.

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And then things went quiet.

Fast forward to 2010, and Siri is back. The back-end technology is faster, more robust, and fuelled by loads more data. Robert Scoble has been amongst those dropping not-so-subtle hints on Twitter for days, and other big names in and around the Valley have also been targeted in a carefully orchestrated programme of pre-briefings and beta invites. That all ends today, as the iPhone app is now out of beta and available this morning from Apple‘s App Store. Versions for Android devices and the Blackberry are coming along close behind, and the company has big plans for building upon what they already have.

I got my hands on the app earlier this month, and put it through as many of its paces as I could from 3,000 miles outside the US market for which the current app and data are optimised.

I’ve written up the results of my play (and my conversation with Siri’s other two co-founders) for ZDNet, and look forward to trying it for real on my next trip to the States.

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Backed by Paul Allen‘s Vulcan Capital, Seattle-based Evri is using semantic technologies to

“change the way consumers discover and engage with content on the Web.”

Via the site at evri.com, users are able to explore news-like topics of interest. Through partnerships with The Washington Post, Hearst and others, Evri is also able to reach established audiences on those sites. An API enables developers to leverage Evri in their own applications, and the forthcoming version 2 of Evri promises further capabilities.

As well as discussing Evri itself, we explore some of Will’s views on the changing role of semantic search, and the potential for this fledgling market to reach wider consumer awareness and adoption. Have a listen, and see what you think.

Links to some of the resources mentioned during our conversation follow, after the cut…

• Bing
• Business.com
• DARPA
• Evri
• Evri’s iPhone application
• Farecast
• Gap
• Google
• Hearst Corporation
• Go2.com
• Insightful Corporation, now part of TIBCO
• Overture, now part of Yahoo!
• Powerset, now part of Microsoft
• Rich Snippets
• SearchMonkey
• Siri
• Vulcan Capital
• The Washington Post
• Yahoo!

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The annual Semantic Technology Conference in San Jose plays an important role here, with ever-more ‘proper’ business people joining the semantic enthusiasts each year in order to understand the ways in which the Semantic Web and the diverse product offerings of exhibitors can help them to tackle real problems inside their business today.

Online, too, the team behind the conference has been working to build a portfolio of case studies and papers under the Semantic Universe banner. The latest iteration of this site sees it take ‘Semantics in the Enterprise‘ as an editorial focus, comprising a collection of more than twenty articles and media resources.

In amongst the various papers is one that I was invited to write, entitled ‘Bringing Semantic Technologies to Enterprise Data.’ I had great fun writing this, and am grateful to everyone who gave up their time to talk with me about their views on Enterprise Data. I spoke with executives from Oracle, SAP Business Objects, Silver Creek Systems and other companies, and learned a lot from the different perspectives that they bring to bear. Master Data Management, Business Intelligence, regulatory ‘segregation of duties‘ and more receive the semantic technology treatment at the companies I spoke with, and there is plenty to unpick for those on the verge of making similar moves themselves.

The trick now, of course, is to carry these conversations to the enterprise data practitioners who don’t yet know that semantic technologies can help them, by sharing success stories and exemplars in their conferences and publications in order to draw them to ‘ours,’ and the resources gathered on sites such as Semantic Universe.

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