I've just been looking at the knowledge addition logs and one of our users, Nomlas, is adding knowledge about the TV series The Clangers and Bagpuss. It's nice to start the evening with a bit of nostalgia. Other users have been adding the prehistoric aeons and eras, and lots of facts about Oscar winners.
Inside the company we've been getting our "levels of precision" knowledge organised. Lots of things can be more or less accurate versions of other objects - for example the real number 1.9999 can be written less accurately as 2. There are some less familiar examples too, such as colours. If one person describes an object as red and another says that it is crimson then both descriptions can be true, but one is more precise than the other.
Some types of facts need the data to be precise, but other facts can be true with varying degrees of precision. For example, saying "I live in Cambridgeshire" and "I live in the UK" are both true because Cambridgeshire is a more accurate version of the UK, but if you're the political leader of a particular place then it is false to say that you're the leader of the place containing it.
This type of fuzziness was already working within the system for some classes (eg numbers, dates and places). We've been trying to finish the job by deciding exactly what other types of objects can have a less accurate form and which can't, deciding which relationships between objects ought to permit fuzziness, and filling in the gaps in the inference to make it all work across the whole knowledge base.
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We are very pleased to welcome Matt Young as our new head of engineering. Matt has previously worked in senior roles at ![Reblog this post [with Zemanta]](http://img.zemanta.com/reblog_e.png?x-id=170a3b9e-33d8-4c02-b143-686134ce83f1)
True Knowledge Ltd is delighted to be joined by Commercial Director Mitch Pender. Mitch was previously at Envisional (another Cambridge-spawned tech-company) where he played a major part in their success as VP of Corporate Development.