Linked data at the BBC - 280313
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A brief overview of some of the possibilities and problems of using linked data. Created for the knowledge and learning team at the BBC.
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Linked data at the BBC - 280313
- 1. LDP AND VANILLA SLICES AND DAVE | February 2013 | LDP and ontology
- 2. DAN LIKES VANILLA SLICES | February 2013 | LDP and ontology
- 3. DAN LIKES VANILLA SLICES Subject Predicate Object | February 2013 | LDP and ontology
- 4. DAN LIKES CAKES What is a “Dan”? Example: Dan is a Person What does “likes” mean? Example: People have preferences Example: Like is a type of preference | February 2013 | LDP and ontology
- 5. RECOMMENDATIONS AND RULES Using data to make recommendations Example: Vanilla slices taste of vanilla custard Describing things using rules Dave is a problem | February 2013 | LDP and ontology
- 6. INTERMISSION: THE PROBLEM OF DAVE Did I ever tell you that Mrs. McCave Had twenty-three sons, and she named them all Dave? Well, she did. And that wasn't a smart thing to do. You see, when she wants one, and calls out "Yoo-Hoo! Come into the house, Dave!" she doesn't get one. All twenty-three Daves of hers come on the run!
- 7. NAMED RESOURCES Did I ever tell you that Mrs. McCave Had nine famous sons, and she named them all Dave? Well, she did. And that wasn't a smart thing to do. You see, when she wants one, and calls out "Yoo-Hoo! Come into the house, Dave!" she doesn't get one. All nine famous Daves of hers come on the run! Dave_1 Dave_2 Dave_3 Dave_4 Dave_6 Dave_5 Dave_7 Dave_8 Dave_9
- 8. POINTING AT THINGS Describing things using rules Dave is a problem Class Propertie s | February 2013 | LDP and ontology
- 9. THERE ARE DIFFERENT KINDS OF STATEMENTS Dave played for Manchester United Dave plays for Paris St Germain Triples take a snapshot – a slice through time. | February 2013 | LDP and ontology
- 10. COPING WITH CONTEXT Example: Resource_1 is a CV_event Example: Resource_1 has agent Dave Example: Resource_1 has duration 1995-2003 Example: Resource_1 has Game_1 And… Example: Game_1 has player Ryan Giggs Example: Game_1 has player Paul Scholes | February 2013 | LDP and ontology
Editor's Notes
- A triple is a fact. But they’re mainly useful in combination. The semantic web is all about sharing. Sharing facts and inferences within web applications and across the web, lots of people sharing triples about the same sorts of things, with agreed rules, so that we can all benefit from a shared web of knowledge (factual statements).
- Through sharing the semantic web becomes a ‘knowledge graph’. it combines triples – and it also leaves spaces for filling. We need to make the implicit explicit. So we describe things in rules, which define what the triples actually mean. For example…
- Triples can populate the spaces left by each other Computers can also infer… but only if we have established all the rules – so that it can automatically fill in the gaps. So if computers can make inferences – we need to be specific. We do this with ontologies – but first a diversion.
- We need to disambiguate between entities, so we create resources for each unique thing.
- This is the stage we’re currently at. We’ve designed a simple ontology to point at things and describe them in the most basic terms. So, Dave is a person – not footballer or a anything else, just a person. We’re using BBC ontologies including BBC, core concepts and we’re also beginning to build our own ontology. Then we’ll move onto place and events – although the name of this are harder to
- The problem is that once we have disambiguated between all the other Dave’s we also need to be careful about the statements we make about the specific Dave. We may need to be able to disambiguate between the different ‘instances’ of Dave.
- Named graph – it knows who is saying it and when it was said – which is some information, but not enough. This is what we’re doing next. Creating ways to ensure that we can describe context effectively and that we’re always referring to the right Dave.