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Articles tagged with: semantics

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[25 Mar 2008 | 8 Comments | 11 views]

Frank Gibson of peanutbutter has left a long comment on my post about data models for lab notebooks which I wanted to respond to in detail. We have also had some email exchanges. This is essentially an incarnation of the heavyweight vs lightweight debate when it comes to tools and systems for description of experiments. I think this is a very important issue and that it is also subject to some misunderstandings about what we and others are trying to do. In particular I think we need to draw a …

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[25 Mar 2008 | 6 Comments | 5 views]

I’ve been mulling over this for a while, and seeing as I am home sick (can’t you tell from the rush of posts?) I’m going to give it a go. This definitely comes with a health warning as it goes way beyond what I know much about at any technical level. This is therefore handwaving of the highest order. But I haven’t come across anyone else floating the same ideas so I will have a shot at explaning my thoughts.
The Semantic Web, RDF, and XML are all the product of …

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[23 Mar 2008 | 12 Comments | 13 views]

‘No data model survives contact with reality’ – Me, Cosener’s House Workshop 29 February 2008
This flippant comment was in response to (I think) Paolo Missier asking me ‘what the data model is’ for our experiments. We were talking about how we might automate various parts of the blog system but the point I was making was that we can’t have a data model with any degree of specificity because we very quickly find the situation where they don’t fit. However, having spent some time thinking about machine readability and the …

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[4 Mar 2008 | 10 Comments | 9 views]

Two things last week gave me more cause to think a bit harder about the RSS feeds from our LaBLog and how we can use them. First, when I gave my talk at UKOLN I made a throwaway comment about search and aggregation. I was arguing that the real benefits of open practice would come when we can use other people’s filters and aggregation tools to easily access the science that we ought to be seeing. Google searching for a specific thing isn’t enough. We need to have an aggregated …