Tag Archives: British Broadcasting Corporation

Canon Flux

Blue Box – by Brainless Angel, Creative Commons, via Flickr

Well, that’s been an interesting couple of weeks. I’ve made progress on both the RDF/Ontology and the Ruby/Rails front – although one much more significantly than the other. We’ll deal with both in a moment, but first a few encouraging signs.

Thanks, as ever, to those who have commented on my posts so far – some interesting questions have been posed, of which I’ll get onto later, and ideas have been discussed. One thing that has encouraged me a great deal has been this article by Tom Scott and Michael Smethurst on coherence at bbc.co.uk – most of which I’m familiar with from work, but the references to non-linear narratives, the BBC as a story-telling organisation, and how to adapt that for the web, are of particular interest and encouragement, because narrative and story-telling is at the heart of what I’m trying to achieve. Michael also wrote this article over at the Radio Labs blog, which is gathering plenty of praise (not least from Tim Berners-Lee himself!) – from my perspective, it’s given me a useful focus on the steps I’d need to take to move these ideas from blog posts to a working prototype, and hopefully beyond.

So, how have I been getting on with a) developing a front-end website for exploration and administration of a fictional universe (by administration, I mean the creation of new elements in the ‘toy-box’ and the links between them), and b) an ontology (and accompanying RDF examples) to describe the narrative content of episodes?

Ruby/Rails – A Web Front End

One half of this project has always been focused on providing a front end application/web site. One in which users (I won’t limit or define *who* they might be at the moment) could navigate and explore a fictional universe, in a wider, more open format than the current focus strictly on the episodes. A suggested approach to the project as a whole has been to create the web app first, use that to produce and store the data in a MySQL (or similar) database, and then expose the data as RDF etc. Unfortunately, my lack of technical expertise has severely hindered my progress on this front. Over a week and a half has been spent on just getting Ruby/Rails up and running properly, and learning the basics (for which, thanks must go to Anthony Green and Craig Webster in particular for being patient and offering help whenever possible). Although it’s still a strand which I think is important, and would like to develop, I’ve been worried that concentrating solely on the Ruby/Rails side is taking me away from the semantic web/linked data roots of the idea, which I’d prefer to get sorted out first. I’ve also realised that before I can really begin to develop the front end properly, I need to know the scope and domain model inside out. Both of these I had a fair idea of, but the domain model in particular was very much a work in progress – and so I felt there was less value in developing the application until I had it sorted out. Note my use of the past tense to describe the domain model – which leads us nicely on to…

OntoMedia – An Ontology for Describing the Narrative Content of Media

This is a story of serendipity (which reminds me, of course, of the Jon Pertwee story ‘The Green Death‘, aka ‘The One with the Giant Maggots’, in which the concept of serendipity plays an important role – anyway, where was I?). I’ve already described in detail my frustrations previously with the tantalising prospect of the SUDS ontology – something which several people have helpfully mentioned as a good starting place, but for which an actual ontology specification has been lacking. I’m still pursuing the SUDS material, thanks to Kim in the comments, but I’ve managed to get my hands on an ontology which might just be what I need – OntoMedia. A chance meeting with Mike Jewell at the last OpenSoho (see, networking can be useful) led to a discussion of this project – and it turns out that whilst at the University of Southampton, Mike and Faith Lawrence (amongst others) developed an ontology called OntoMedia for doing just as described in the heading. It has its’ roots in an exploration of online fan fiction, and is extremely detailed and flexible. The fan fiction roots also mean that it has been designed with geeky subjects like Doctor Who in mind, which is a bonus. However, being so detailed and tailored to the fan fiction roots means that, speaking personally, it sometimes focuses a little too much on fantasy genre elements (detailed descriptions of clans, bonds, blood oaths, woods and coppices etc), whilst seemly lacking a couple of minor basics (although I’m still getting to grips with it, so it’s possible that I’m just missing the obvious bits…!). But that’s not to knock it at all – it’s a highly accomplished piece of work, and allows all kinds of narratives to be described. Since our initial meeting, I’ve been discussing the possibility of developing and improving the onotology – I truly believe that with a little more work, it brings me a huge step closer to my goal, and could end up being widely used throughout the BBC. To be honest, I’m just surprised that no one else had picked up on its’ potential yet.

I think I’ll leave a detailed description of how to go about implementing stuff in OntoMedia for another blog post, but what I can do is give you a flavour of the basic principles. Essentially you establish the existence of (at least) two universes – reality, and the fictional universe. Within the fictional universe you establish a timeline, your characters, locations etc, and link your characters to defined actors in the ‘real world’. Here, we can deal with characters and elements which are of dubious or multiple origins – we can deine essentially concepts that are shared between media, and their provenance as part of a universe (or context). I’ve also then defined episodes as being things existing in the real world, with their own timelines – the episodes are then linked into the bbc.co.uk/programme equivalents. Finally, you establish events which can occur in multiple timelines (and in different orders within those timelines). That’s the principle, at least. For me, it all harks back quite nicely to that ‘toy-box’ analogy. You set the scene, choose your characters, then tell the story. It’s also important to bear in mind that we’re not trying to restrict creativity and lay down the law for what happened and when – to use the analogy from within Doctor Who, some things are fixed points in time (i.e. the stuff shown on screen), others are in flux.

As for my progress so far, I’ve been helped by Yves Raimond in particular for reminding me of the benefits of writing n3 triples, Patrick Sinclair and Nicholas Humphrey for other guidance. I’ve been working to two case studies. The first is to eventually show the benefits of linking characters and events across several episodes – for this, I’ve defined the scope as the 2005 series of Doctor Who (including The Christmas Invasion), with the intention to show the Bad Wolf arc (I can then extend this to cover the second, third and fourth series). The results of which can be seen here and here. (You’ll need an RDF extension like Tabulator for Firefox to navigate the links properly).

The second case study is designed to highlight the benefits of exploring events in the fictional universe and comparing them with the order in which they occur within a given episode – so that the skill with which the writer has constructed the story can be fully appreciated, and the enjoyment of the story can be increased. For this case study, I’ve chosen to concentrate on the award winning story from the 2007 series, ‘Blink‘ – famous for its use of multiple, interconnected timelines – very ‘timey-wimey’, as they say. Results so far, which just set up the timeline, the episode, the characters, actors and locations, can be found here.

Events and occurrences are, by their nature, a little more complex, and I’m currently trying to get my head around how best to represent them – the OntoMedia ontology allows extremely detailed representations of the data, but I’m trying to stick to simple representations for the moment – the achievement of which is my current challenge.

The ontology allows, essentially, the description of any narrative. Which leads me to a potential further case study. Obviously for the moment I’ve been concentrating on fictional universes – but this could easily apply to the real world. Could this be a way to describe events and blend the semantic web into other areas of the BBC’s output in an easier and more subtle way? For instance, coverage of a football match – again, define the teams, the players, the timeline of the match and the various events. Then, again, we would have permanent, stable URIs for each team, player, event – I think the possibilities and potential are huge.

Finally, in terms of my overall approach – my current thinking is to continue with writing the RDF, then load it into a triple store. An application would then be written to allow the querying of data in the triple store, and its representation in a well designed, user facing front end. If there are standard patterns in the RDF for creating characters, events etc using Ontomedia, then ideally the application would take these recipies and allow the user to input the data without having to interact directly with writing RDF.

So there we are – a great deal of progress – not all the way there, but a huge step forward – although the phrase ‘Standing on the Shoulders of Giants’ does come to mind… Once I’ve worked ou how to represent events and occurrences, the triple store will be next, then the Ruby/Rails application, and then some design magic. Wish me luck!

Baby Steps

Photo by strollerdos, via Flickr, Creative Commons

This is the second post in a series covering my exploration, experimentation and musings in the area of fictional modelling. In short, can we use the recent developments in semantic web technologies to represent elements of fictional content, and what does this allow us to do. For my introduction to the topic, see my previous post here. In this entry, I’ll talk about my first practical steps, and their implications. Thanks also go to Tom Scott, Dan Brickley and Anthony Green, amongst others, who responded to the first post with helpful comments.

Before I go any further, as pointed out by Chris Sizemore, it’s worth noting that work has been done in a similar area before. Previous IAs at the BBC, including Celia Romaniuk, worked on an ontology to describe the content of soap operas, known as SUDS. From what I have seen, it was an extension to FOAF in order to describe further relationships between people, the nature of people ‘playing’ characters, and various events that could take place between the characters in a show. This was done to tie in with an Eastenders website relaunch. I won’t go into much more detail here, but if you’re interested in seeing the original work, there’s a short article here and a great presentation here. Unfortunately, apart from a few example XML fragments, I have so far been unable to find a document that defines the SUDS ontology. This is a shame, because it would have been an extremely useful starting point for my experiments. One option might be to gather the examples together and try to reverse-engineer a schema, but for the moment, and partly as a way for me to learn as much as possible, I’ve decided to start from scratch. Hopefully at some point we can find the SUDS ontology and see how it compares to what I come up with.

So, where to start? Well, as the title suggests, I’m going to start small. Sort of. Readers of the blog, and others who know me, will probably have guessed that I’m a bit of a, shall we say, ‘fan’ of the BBC’s Doctor Who (currently in the news for apparently appointing a 12-year-old as the Eleventh Doctor). So much so, that in my sad little way, most things that I’m presented with in the course of my BBC IA work make me think “How could/would this apply to Doctor Who?”. As a programme that originally ran for 26 years, and has been enjoying an overdue renaissance, its rich history, and sheer refusal to ever completely conform to most IA domain models, make it both a source of frustration and inspiration. So when I read Tristan Ferne’s blog post over at BBC Radio Labs, shortly before joining the Beeb, I began to wonder. Have a read, it’s a good example of a similar idea.

Tristan’s article concerns fictional modelling for another hugely successful BBC show, The Archers. He talks about being able to break an episode down into scenes, characters, plots etc. and, for instance, potentially being able to build pages that allow the user to follow a story through multiple episodes, rather than being tied to the traditional episode format. Of course, to paraphrase Jack Bauer, events within The Archers occur in linear time. If we were able to build dynamic and interesting websites from a show like that, centred around a small English village, how about a show that goes forward, back and sideways in time and space? Harking back to my ‘toy box’ analogy from last time, with the imagination of the writers of a show like Doctor Who, and the imagination of our audiences, the potential to create some fantastic websites would be huge.

Sorry, where was I? Oh yes, starting small. So, yes, obviously I couldn’t hope to cover the whole scope of the show in one go. However, to show the potential of the semantic web and linked data approach, I’d want to start off by experimenting not only with characters who are linked together, but with a plot that is threaded through several episodes. I still haven’t quite decided what I’m going to choose for this, but I’m thinking that the story arc from either the first or fourth series of the current show would be good to try. But before all that, I had to learn how to create some linked data.

So I went even smaller, even simpler. I chose the first ever episode of the show, from 1963. This featured four main characters, and thanks to the workshop from Yves and the others, I had an inkling of an understanding of how to create FOAF profiles. The results can be seen here (best viewed if you use a Firefox plugin like Tabulator). So far so good. I then linked each character to the other, using the simple ‘knows’ relationship. Finally, to get my linked open data brownie points, I linked each character to its DBpedia equivalent, using the OWL ‘same as’ relationship. And that’s basically it. Except…

Except even this small experiment (which I eventually got working after help from Yves!) raises some interesting points. Firstly, the pernickety part of my brain is saying that we’re mixing two distinct things here. We’re using FOAF, which, I guess, and am happy to be corrected, is primarily intended to represent real people, to model fictional things. Crucially, nowhere, at the moment, are we explicitly stating that these resources are fictional characters.  So I’m wondering whether FOAF is the correct ontology to use. Of course, like SUDS, the ontology that results from these experiments will probably be an extension of FOAF, as it is true to say that we’re still modelling the same sort of ‘thing’, the relationship between ‘people’. But the point still stands – that somehow we need some way of indicating the ‘fictional’ nature of the FOAF person, if applicable.

Secondly, and perhaps more importantly, as Anthony Green pointed out, and as I discovered when I linked the characters to their DBpedia equivalents, there’s a lot of detailed information out there already. When I linked each character to DBPedia, I got back information which was extremely detailed and fairly well structured. Which, to be honest, depressed me a little bit. Was it worth me continuing? It’s clear that others had done a lot of similar work already, and I knew that ultimately it would be silly to reinvent the wheel.

However, then I remembered what data I was trying to link. Of course I should still link to the DBpedia equivalents, but the linked data I am thinking of is more to do with linking between characters, plots etc within my own domain. I’m still slightly uneasy with this, because I know that obviously the main thrust of the whole linked data movement is to link external sources together, and that creating silos of data is not good. However, I’m still definitely in favour of linking to DBpedia – if we were to make our ‘internal’ linked data semantically rich, and then link to external sources, then everyone would benefit, and in a way, we would be regarded as the ‘master’ source in the same way that, in my small experiment, I used DBpedia as my ‘master’ source.

So that’s it. A long, rambling blog post, and small, simple experiment. Baby steps. Apologies for the rambling, and I’m not sure that I *quite* explained myself properly in that last part – but there’s definitely some interesting issues coming up already, and I’m hoping that the advantages of my position will be borne out in future experiments. Finally, I’ve adapted the RDF file that I used to create the FOAF profiles to temporarily remove the OWL ‘same as’ relationship – just to ease the page loading time, and to, for the moment, give me a more clean space to work in. The adapted version is here, the original version here. Linking back *in* to DBpedia will be a task for later…

Again, comments, queries, advice is more than welcome – comment, twitter or email me.