LinkedGeoData.org is a project by AKSW research group at Universität Leipzig aiming at extracting and publishing geo data collected by the OpenStreetMap.org project as RDF and Linked Data.
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.
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.
Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. More specifically, Wikipedia defines Linked Data as "a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF."
This site exists to provide a home for, or pointers to, resources from across the Linked Data community.
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.
C. Bizer, T. Heath, K. Idehen, and T. Berners-Lee. Proceeding of the 17th international conference on World Wide Web, page 1265--1266. Beijing, China, ACM, (2008)
R. Studer, V. Benjamins, and D. Fensel. Data & Knowledge Engineering, 25 (1-2):
161--197(March 1998)Definition Ontology (page 25): An ontology is a formal, explicit specification of a shared conceptualisation. A ‘conceptualisation’ refers to an abstract model of some phenomenon in the world by having identified the relevant concepts of that phenomenon. ‘Explicit’ means that the type of concepts used, and the constraints on their use are explicitly defined. For example, in medical domains, the concepts are diseases and symptoms, the relations between them are causal and a constraint is that a disease cannot cause itself. ‘Formal’ refers to the fact that the ontology should be machine readable, which excludes natural language. ‘Shared’ reflects the notion that an ontology captures consensual knowledge, that is, it is not private to some individual, but accepted by a group..