bookmarks (hide)93
- 1Lutz, Burkart, Moldaschl, Manfred - Expertensysteme und industrielle Facharbeit ein Gutachten ueber denkbare qualifikatorische Auswirkungen von Expertensystemen in der fertigenden Industrie ; erstellt im Auftrag der Enquete-Kommission 'Technikfolgenabschaetzung und -bewertung' des Deutschen Bundestages - Sowiport
- January 17, 2010 By Scott Brinker 4 Comments The 8th linked data business model In response to my post on linked data business models, Leigh Dodds at Talis wrote a terrific piece with his thoughts on the business of linked data. Leigh presents a number of great ideas that I think really carry the conversation forward. One of his points is that I overlooked an important model, what he calls the “sponsorship model.” Under this model, a government entity or a non-profit organization has a funded mandate to deliver certain data to the public or their targeted constituency. I’d humbly suggest calling it the subsidized model though, to avoid confusion, because sponsorship is often associated with advertising and branding — very different business models.
- I’ve organized these by how revenue is generated, from direct money-for-data to indirect branding programs. Within each of these revenue models, there’s also a secondary dimension of how the data is delivered, whether in raw form for others to leverage in their own applications or embedded into a pre-packaged application provided directly to end-users. 1. Subscription model. Some data will be valuable enough that you can charge people a subscription to access it. This model has been around for a while, but it will gain new life as linked data standards make it easier for people to consume and mash-up data in novel applications. 2. Advertising model. Advertising: the second oldest profession. Data-driven applications will have plenty of opportunity for contextual ads and sponsorships. One interesting twist will be advertisers who pay to include information in raw data feeds, data-layer ads if you will. 3. Authority model. If anyone can publish data on the web, how will you know what data is good? That problem will be an opportunity for third-party “authorities” to validate data — or do official reviews and certifications that are published as data — and charge for participation. Compliance services are related to this. 4. Affiliate model. Affiliate marketing programs generate over $6 billion/year in commissions and are a major source of transactions and leads for merchants such as Amazon.com. Embedding affiliate links in data, so that they are activated when surfaced into end-user applications, are a natural extension of this existing model. 5. Value-Add model. Useful data can be bundled with other services to make the overall solution more valuable. For example, think of the benchmarking data now included with Google Analytics. Access to data can also be offered earlier in the sales funnel, as a lead generation incentive. 6. Traffic model. As with Google Rich Snippets, data can be used to boost the visibility and ranking of sites in major and vertical search engines. This is data-enhanced search engine optimization (SEO++) to increase traffic. Nickname: the “data for nothing and links for free” model (apologies to Mark Knopfler). 7. Branding model. As Josh Jones-Dilworth said, “Data shapes conversations and markets.” Data branding can use data — and the vocabularies that define and structure data — to position and promote a company’s worldview and differentiation strategy. Of course, there will be hybrid models that combine several of these approaches. Particularly in the early days, most organizations will benefit from experimenting with linked data for traffic, branding, and a little value add. Their own value will be learning as much as anything. As the data web matures, and they become more experienced, they may embrace more direct revenue models. But don’t underestimate the importance of data branding. When it comes to establishing industry standard vocabularies and ontologies, there is a definite first-mover advantage. For the entrepreneurs in this space, however, everything is fair game.
- Wahlkampf mit 140 Zeichen: Im Internetdienst Twitter wird das Gefecht zwischen Obama und Romney mit scharfer Klinge geführt. Das Auf und Ab der Meinungen analysiert ein spezieller Twitter-Index.
- I must admit that lately Google is the cause of my headaches. No, not just because it decided I was not going to be not provided with useful information about my sites. And neither because it is changing practically every tool I got used since my first days as an SEO (Google Analytics, Webmaster Tools, Gmail…). And, honestly, not only because it released a ravenous Panda. No, the real question that is causing my headaches is: What the hell does Google want to go with all these changes?
- The announcement this week that Google released a beta version of a robust cloud computing platform called Google App Engine that lets anyone build apps on Googles renowned and highly scalable infrastructure underscored a key trend in the software industry today. Namely that software platforms are moving from their traditional centricity around individually owned and managed computing resources and up into the cloud of the Internet. Googles entry into a space that has been largely dominated so far by Amazon and its Elastic Compute Cloud as well as a few smaller players like Bungee and Heroku has turned the Internet cloud computing space into a fully-fledged industry virtually overnight. What makes these offerings so interesting is their promise to turn enormous amounts of operational competency and accumulated economies of scale (which are enormous in Amazons and Googles cases) into a highly competitive new software platform, akin to Windows or Linux, except entirely hosted off-premises and on the Internet.
- Many have assumed that a patent grant Facebook received last month was about tagging photos. Actually, it’s about combining any search with soci
- We are excited to release our fourth annual Mobile Megatrends 2011 themed around what else? how software is fundamentally changing the telecoms value chain. In this fourth annual research presentation we take a deep dive into the many facets of change in the mobile industry; the DELL-ification of mobile, the battle for experience ecosystems, apps as web 3.0, the use of open closed strategies to commodise protect and how telcos can compete in the age of software.]
- demo video
- At the 2007 EG conference, Kevin Kelly shares a fun stat: The World Wide Web, as we know it, is only 5,000 days old. Now, Kelly asks, how can we predict what's coming in the next 5,000 days? About Kevin Kelly Kevin Kelly has been publisher of the Whole Earth Review, exec editor at WIRED, founder of visionary nonprofits, and writer on biology and business and "cool tools." He's admired for his new…
- 20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he's building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together. About Tim Berners-Lee Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium, overseeing the Web's standards and development.
- At TED2009, Tim Berners-Lee called for "raw data now" -- for governments, scientists and institutions to make their data openly available on the web. At TED University in 2010, he shows a few of the interesting results when the data gets linked up. About Tim Berners-Lee Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium, overseeing the Web's standards and development.
- Welcome to TuQS! Turnguard's QuadStore is the first draft of an own implementation of a QuadStore with main focus on data-retrieval speed. TuQS can be queried and updated using openrdf's SAIL API. Please choose a repository here. * Features o SAIL accessible o True QuadStore with GraphSupport o HighSpeed regex SPARQL filters o Userrights on TripleBasis o Extendable to a QuintStore (or more generally to an n-Store) o Cachable SPARQL Queries for further speed improvement o Clusterable o Federationable o FullTextSearchable
- Many industry observers predict IT employees of the future will be less focused on building and delivering services and more focused on integrating and managing them. I wrote about this shift earlier this month, sharing some scary forecasts from the Corporate Executive Board's Information Technology Practice and titling my post "Say Goodbye to IT as We Know It." A Computerworld article strikes a similar theme (and title) with "IT Careers 2010: The End of IT as We Know It." You can accuse journalists of having a sensationalistic bent, but IT pros themselves recognize a shift is under way. Twenty-six percent of IT pros surveyed by Computerworld last month said that while their role will still exist in 2020, "it will have changed dramatically." Another 10 percent said their current job would no longer exist, and 7 percent said it was "not likely" their job would still be around.
- It appears the privacy debates are evolving in tandem with Social Media morphing into its next iteration, the Semantic Web. As we struggle to redefine privacy and transparency, how we access and utilize data will become a much more robust enterprise. Concurrently, as Facebook's Open Graph and "Like" buttons begin to define who we are, the essence of hyperlinks are metamorphosing into peoplelinks.
- Guardian.co.uk Information Architect Martin Belam went to the 1st 'Web of Data' meet up in Berlin, which was on the subject of datajournalism
publications (hide)68
- (2009)
- Social Networks, 32 (1): 16--29 (2010)
- Semantic Web. Wege zur vernetzten Wissensgesellschaft, Springer, (2006)
- Cambridge University Press, (2005)
- Proceedings of I-Semantics 2009. 5th International Conference on Semantic Systems, page 568--577. Journal of Universal Computer Science, (2009)
- (2008)
- (2010)
- (2009)
- Springer, Berlin, (2009)
- W.W. Norton & Co., Expanded Edition edition, (2002)
- Semantic Web - Wege zur vernetzten Wissensgesellschaft, Springer-Verlag, Berlin, Heidelberg, (2006)
- Semantic Web. Webe zur vernetzten Wissensgesellschaft, Springer-Verlag, Berlin, Heidelberg, (2006)
- http://blog.semantic-web.at/tag/interview%20brian-donnelly%20owl/, (Jänner 2009)Stand 14.5.2009.
- http://ikewiki.salzburgresearch.at/, (2008)Stand 13.5.2009.
- Proceedings of the 1st International Workshop on Semantic Technologies in Collaborative Applications (STICA), (2006)
- http://www.semantic-mediawiki.org/wiki/Help:Introduction_to_Semantic_MediaWiki, (Mai 2009)Stand 13.5.2009.
- Social Semantic Web. Web 2.0 - Was nun?, Springer-Verlag, Berlin, Heidelberg, (2009)
- http://www.zemanta.com/api/, (2009)Stand 13.5.2009.
- http://blog.exalead.com/2008/04/11/semantic-search-part-1/, (April 2008)Stand: 16.4.09.
- http://www.community-of-knowledge.de/pdf/f05.pdf, (2001)Stand 27.4.2008.
