Universities and Colleges in the Giant Global Graph. Structure of the Session. Introductory presentations – concepts and examples Introductions. Who are we all, what is our knowledge and background in this area, why are we here? Focus 1 – management of T&L
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Who are we all, what is our knowledge and background in this area, why are we here?
1. Because the meme of Linked Data has clarified where there is “traction” with the Semantic Web.
More clear now:
2. A background movement to open up public data
But some of these are scraped or use Natural Language Processing
Tim Berners-Lee Four Rules
Non-Rules to consider
“We started off with the Semantic Web roadmap, which had lots of languages that we wanted to create. The community got a bit distracted from the idea that actually the most important piece is the interoperability of the data. The fact that things are identified by URIs is the key thing.
The Semantic Web and Linked Data connect because when we’ve got the web of linked data, there are already lots of technologies that exist to do fancy things with it. But its time now to concentrate on getting the web of linked data out there.”
From ReadWriteWeb (via TalisNodalities)
What information is available but locked up in documents or web pages (e.g. National Student Survey raw data) ?
What information is locked up in university, college and other sector agency databases that could be exposed (e.g. anonymised library borrowing data) ?
What new opportunities or knowledge arise from making this data available and joining it up?
… anything more?
Some of these may venture more deeply into “proper” semantic technologies, to AI. How deep is too deep; at what point would we stray from the believable to dreamland? Or should we not worry and just consider the potential value of data for people to do unanticipated things with.