{"@context":{"rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","rdfs":"http://www.w3.org/2000/01/rdf-schema#","owl":"http://www.w3.org/2002/07/owl#","foaf":"http://xmlns.com/foaf/0.1/","dc":"http://purl.org/dc/elements/1.1/","dct":"http://purl.org/dc/terms/","sioc":"http://rdfs.org/sioc/types#","blog":"http://vocab.amy.so/blog#","as":"https://www.w3.org/ns/activitystreams#","mf2":"http://microformats.org/profile/","ldp":"http://www.w3.org/ns/ldp#","solid":"http://www.w3.org/ns/solid#","view":"https://terms.rhiaro.co.uk/view#","asext":"https://terms.rhiaro.co.uk/as#","dbp":"http://dbpedia.org/property/","geo":"http://www.w3.org/2003/01/geo/wgs84_pos#","doap":"http://usefulinc.com/ns/doap#","time":"http://www.w3.org/2006/time#"},"@graph":[{"@id":"https://rhiaro.co.uk/2013/02/week-review-planning","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-4701969289450916472","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"
4th - 10th February
\r\n
\r\nWhen helping to organise an event, it's impressive how much time sending emails, updating websites and spreadsheets, having meetings and generally coordinating things can take up. So that's a lot of what I've done this week. Not PhD, but related enough to be excusable... sort of... (Smart Data Hack and Open Data Day: Joined Up Edinburgh)
I have finally booked plane tickets to Serbia for\r\nResonate new media festival, at which I'm hoping to\r\nmake useful contacts with independent digital media producers, learn some\r\nstuff about big data visualisation at the workshops (my places at the ones\r\nI've applied to haven't been confirmed yet though), and generally learn more\r\nabout the digital art scene (and figure out ways SW technologies can benefit\r\npeople who are part of it). And also to enjoy Belgrade, as I'll have a spare\r\ncouple of days either side of the festival. Because the flights were cheaper\r\nthen! Honest! I actually lost an entire afternoon hunting for cheapest\r\nflights on websites that weren't obviously scams (Cheap-o-Airlines? Really??\r\nUltimately booking through JAT directly was the best option), then negotiating\r\ncheapest trains to London in order to catch flights, then sending CouchSurfing\r\nrequests, because why spend money on a hostel when you can meet wonderful new\r\npeople and get tourist advice for free?
\r\nI also applied for a place at the Semantic Web Summer\r\nSchool in Spain in July. It looks fantastic and\r\neducational and stuff. And I applied for funding to help cover then 900EUR\r\nentry cost (a whole week, accommodation and meals included), and\r\nSICSA are providing £500, yay!
\r\nTwo thirds of Ontologies with a\r\nView met this week, and we discussed BBC use of Linked Data. I only\r\nmanaged to skim the paper, but knew the general principles from articles I'd\r\nread about their work before... I will read it properly at some point, though\r\nI think a more technical discussion of what they did might be useful.
","as:name":"Week in review: Planning trips!","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-02-10T23:56:00.002Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/doing"},{"@id":"blog:Doing"},{"@id":"https://rhiaro.co.uk/tags/belgrade"},{"@id":"https://rhiaro.co.uk/tags/events"},{"@id":"https://rhiaro.co.uk/tags/festival"},{"@id":"https://rhiaro.co.uk/tags/innovative+learning+week"},{"@id":"https://rhiaro.co.uk/tags/joined+up+edinburgh"},{"@id":"https://rhiaro.co.uk/tags/joinuped"},{"@id":"https://rhiaro.co.uk/tags/madrid"},{"@id":"https://rhiaro.co.uk/tags/open+data+day"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/resonate"},{"@id":"https://rhiaro.co.uk/tags/semantic+web+summer+school"},{"@id":"https://rhiaro.co.uk/tags/serbia"},{"@id":"https://rhiaro.co.uk/tags/smart+data+hack"},{"@id":"https://rhiaro.co.uk/tags/spain"},{"@id":"https://rhiaro.co.uk/tags/trips"},{"@id":"https://rhiaro.co.uk/tags/week+in+review"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-04-01T00:07:45.549Z"}},{"@id":"https://rhiaro.co.uk/2013/07/notes-sssw13-6","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-3867912077064038876","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"Social Media Analytics with a Pinch of Semantics
\r\n
\r\nUsing semantics to solve problems (not solving problems of semantics).
SM for businesses:
\r\nSM silos impeding progress.
\r\nIn-house social platforms increasing, so even more so.
SIOC to integrate online community information.
\r\nSIOC + FOAF + SKOS.
FB Graph.
\r\nPeople are likeaholics. Their 'likes' become meaningless, so you need to take\r\nthis into account when making recommendations.
\r\nBrowse your data and understand user actions.
Behaviour analysis.
\r\nBottom-up analysis.
\r\nCan handle unexpected or emerging behaviours.
eg. focussed novice; mixed novice; distributed expert; ...
\r\nSpectrum across users you can or can't do without.
Extending an ontology built on SIOC.
\r\nEncoding rules in ontologies with SPIN.
\r\nThree categories of features:
\r\nWhich behaviour categories you need to cater for more than others? How roles\r\nimpact activity in online community.
\r\nConsistently see that you need some sort of stable mixture of behaviours for\r\nactivities in forums to increase.
\r\n==> Don't know what's causing which.
\r\nWhat is a healthy community?
\r\nUse behaviour analysis to guess what's going to happen to community. Eg.
\r\nUnexpected: the fewer focused experts in the community, the more posts\r\nreceived a reply.
\r\n(But quality of answers?)
Community types (Little work in this space)
\r\nMuller, M. (CHI 2012) community types in IBM Connections:
\r\nNeed an ontology and inference engine of community types.
\r\nWants an automated process to tell you what type of community it is - it might\r\nbe something it wasn't set up for.
\r\nThen you could determine what sort of patterns you would expect to find.
\r\nNoone has done this yet.
Measurements of value and satisfaction
\r\nAnswers different across communities. They ran it on IBM Connections -\r\ncorporate community.
\r\nMost of this work is for managers of communities - see what's happening and\r\nhelp to predict what might be coming next.
\r\nCan classify users based on Maslow's Hierarchy of Needs?
\r\nMapping the hierarchy to social media communities.
\r\n~90% users happily staying at the lower levels of the 'needs hierarchy'.
Behaviour evolution patterns
\r\nWhat paths they follow over time.
\r\neg. people who become moderators eventually.
Engagement analysis
\r\nWhat's the best way to write a tweet so that people care about it?
\r\nWhich posts are likely to generate more attention?
Getting bored of people finding patterns in individual datasets. What can be\r\ngeneralised to other communities?
\r\nSo experimented with 7 datasets and looked at how results differed across:
\r\nAnd people use different features.
\r\nSemantic sentiment analysis in social media
\r\nToo much research going on, especially on twitter.
\r\nExtract semantic concepts from tweets; likely sentiment for a concept.
\r\nTweetnator.
\r\nSemantics increases accuracy by 6.5% for negative sentiment; 4.8% for positive\r\nsentiment.
OUSocial.
\r\nStudents don't use in-house networks because they already use facebook groups\r\netc. Want to analyse what's happening on them.
Upcoming
\r\nReel Lives (inc. Ed.)
\r\nFragmented digital selves.
\r\nWant to automate compilations of media (photos, messages) posted online.
Changing energy consumption behaviour.
\r\nProviding information is not enough.
Social Eco feedback technology.
","as:name":"[Notes] Harith Alani at #SSSW2013","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-07-10T20:30:00.000Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/done"},{"@id":"blog:Done"},{"@id":"https://rhiaro.co.uk/tags/behaviour+analysis"},{"@id":"https://rhiaro.co.uk/tags/harith+alani"},{"@id":"https://rhiaro.co.uk/tags/online+communities"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/semantic+web+summer+school"},{"@id":"https://rhiaro.co.uk/tags/semantic+web"},{"@id":"https://rhiaro.co.uk/tags/social+media"},{"@id":"https://rhiaro.co.uk/tags/sssw13"},{"@id":"https://rhiaro.co.uk/tags/sssw2013"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-07-30T15:36:36.995Z"}},{"@id":"https://rhiaro.co.uk/2013/07/notes-sssw13-7","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-554189058804958709","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"Tools and Techniques
\r\n
\r\nRecommender systems
Input: Set of users + set of items + rating matrix.
\r\nProblem - given user, predict rating for an item.
In real world, recommendation matrix data is sparse.
\r\nCan use hybrid approaches.
\r\nCollaborative RS:
\r\nKnowledge-based RS:
\r\nUser-based collaborative recommendation:
\r\nItem-based collaborative recommendation:
\r\nContent-based RS:
\r\nand profile of user interests.
\r\nDon't necessarily have complete descriptions of items - just have a 0 in your vector.
\r\nSimilarity between items:
\r\nUsing LOD
\r\nTo mitigate lack of information/descriptions about concepts/entities.
\r\nRecommender systems are usually vertical, but LD lets you easily build a\r\nmulti-domain recommender system.
\r\nTo avoid noisy data, you have to filter it before feeding your RS.
\r\nFreebase.
\r\nTiapolo
\r\nVector space model for LOD
\r\nHarith Alani talked about using semantics to solve problems around evaluating\r\nthe success of social media use in business. The SIOC ontology is widely used\r\nto describe online community information. It's not as simple as measuring\r\nsomeone's engagement with a brand's online presence - people are 'likeaholics'\r\non Facebook, so you have to look at someone's whole behaviour profile to judge\r\nwhether their like means anything or not. It's no good just aggregating your\r\ndata and spewing out numbers - you have to browse the data and try to\r\nunderstand where it came from.
\r\nHe mentioned how little work has been done in classifying community types.\r\nMost of the work that has been done seems to be with social networks internal\r\nto an organisation. A bottom-up approach to community analysis can handle\r\nemergent behaviours and cope with role changes over time. Looking at\r\nbehaviour categories and roles can help an organisation to decide who to\r\nconcentrate on supporting and how in order to sustain the community. The\r\nresults they have seen so far suggest that a stable mix of the different types\r\nof behaviours are needed to increase activities in forums - but they don't\r\nknow what causes what. They're reaching a point where they can use their\r\nbehaviour analysis to guess what's going to happen to a community: how long it\r\nwill last, how fast it will grow, how many replies a certain type of post is\r\nlikely to get, etc.
\r\nNext they want to be able to classify community types, and be able to look at\r\nactivities within a community over a period of time and automatically discover\r\nwhat kind of community it is; it might be something different than what it was\r\nset up for.
\r\nThey created an alternative Maslow's Hierarchy of Needs to correspond with\r\nactivities seen on forums, and found that most people are happy to stay at the\r\nlower levels of the hierarchy. For example, join a community, lurk for a bit,\r\nask one question and leave. Not everyone wants or needs to be a power user.
\r\nPapers are being written that find patterns in individual datasets for a\r\nparticular community in a particular context. Harith and his team are getting\r\ntired of this; they want to generalise across communities. So they took seven\r\ndatasets and looked at how the analysis features differed as well as comparing\r\nthe results across community types, randomness (vs. topicality) of datasets,\r\nand compared similar experiments.
\r\nUpcoming work includes the Reel Lives project, in which UoE is involved.\r\nThey're taking media fragments - photos, videos, audio clips, text recorded as\r\naudio - and creating automated compilations to tell a story.
\r\nAnother is social methods to change energy consumption behaviour. LiSC in\r\nLincoln did something in this area back in the day.. an app that posted that\r\nyou were listening to an embarrassing song on your facebook feed if you left\r\nyour lights on.
\r\nNotes from Harith's talk are here.
\r\nSSSW 2013 - Feeding Recommender Systems with Linked Open Data from Tommaso Di Noia
\r\nFrom Tommaso Di Noia's talk, I learnt that recommender systems have a lot of\r\nmaths behind them, especially for evaluating things, and reinforced something\r\nI already knew: I don't maths good enough to be taken seriously by most of the\r\nInformatics world. I think I understand the principles behind the maths, but\r\nwhen something is descried in just maths, I have no idea what it relates to.\r\nI'll work on this.
\r\nReal world recommender systems use a variety of approaches, including\r\ncollaborative (based on similar users' profiles); knowledge-based (domain\r\nknowledge, no user history); item-based (similarities between items); content-\r\nbased (combination of item descriptions and profile of user interests).\r\nLinked Open Data is used to mitigate a lack of information about entities, and\r\nhelps with recommending across multiple domains. You do have to filter the LD\r\nyou use before feeding it to your recommender system though, to avoid noise.\r\nNotes here.
\r\nTommaso's talk was followed up by a hands-on\r\nsession, where we got to poke about with some of\r\nthe tools he mentioned, including FRED\r\n(transforms natural language to RDF/OWL); Tipalo (gets entity types from natural language text); and\r\nusing DBpedia to feed a recommender system.
\r\nThen we worked on our mini-projects for the afternoon. We made some progress\r\ntowards breaking down the concept of serendipity and working out what\r\nproperties we might need to represent as linked data, and how we could\r\nobserver a user and work out if/when/how they were having serendipitous\r\nexperiences without intruding too much.
\r\nIn the evening we took a coach to 'nearby' historical town Segovia.\r\nApparently an extremely motion-sickness-inducing two and a half hour coach\r\njourney around twisty mountain paths is 'nearby'. Fortunately I was\r\ndistracted from this horrible journey by a conversation with Lynda Hardman,\r\nwhich I wish I had recorded. Lynda challenged various aspects of my PhD until\r\nI could explain/justify them reasonably, including:
\r\nShe also recommended a number of resources, including theses of her recent\r\nformer students to help me with a structure for my own, and advice on\r\nmaintaining a healthy balance between thinking and doing.
\r\nPlus she used to live in Edinburgh, more or less across the road from where I\r\nlive now. Cool. Thanks Lynda! You haven't heard the last of me :)
\r\n#travel
\r\nOnce we got to Segovia, we had a guided tour of the ancient Roman\r\narchitecture, interesting building façades and local legends. It was a very\r\ngood tour, but too hot to really focus. Then they took us to a restaurant for\r\na local speciality. I was all set to write a whole individual blog post\r\nsurveying the barbaric nature of human beings, but I didn't do it straight\r\naway and now the passion has faded slightly, so I'll leave it at a paragraph.\r\nSome people watched the local 'ceremony' out of morbid curiosity I imagine,\r\nbut it was the fact that so many people took so much pleasure in the idea of\r\nviolently hacking up bodies of three-week-old piglets that really bothered me.\r\nFortunately the surging standing crowd allowed me (and only one other) to\r\ninconspicuously sit it out. The veggie option was tasty, but it was difficult\r\nto really enjoy the rest of the evening whilst wondering vaguely about the\r\nstates of minds of most of the people I was sharing a table with.
","as:name":"#SSSW2013: Practical semantics and human nature","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-07-10T23:00:00.000Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/done"},{"@id":"blog:Done"},{"@id":"https://rhiaro.co.uk/tags/dbpedia"},{"@id":"https://rhiaro.co.uk/tags/fred"},{"@id":"https://rhiaro.co.uk/tags/harith+alani"},{"@id":"https://rhiaro.co.uk/tags/ontologies"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/recommender+systems"},{"@id":"https://rhiaro.co.uk/tags/segovia"},{"@id":"https://rhiaro.co.uk/tags/semantic+web+summer+school"},{"@id":"https://rhiaro.co.uk/tags/semantic+web"},{"@id":"https://rhiaro.co.uk/tags/semantics"},{"@id":"https://rhiaro.co.uk/tags/social+media"},{"@id":"https://rhiaro.co.uk/tags/sssw13"},{"@id":"https://rhiaro.co.uk/tags/sssw2013"},{"@id":"https://rhiaro.co.uk/tags/tipalo"},{"@id":"https://rhiaro.co.uk/tags/tommaso+di+noia"},{"@id":"https://rhiaro.co.uk/tags/travel"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-07-30T17:34:20.984Z"}},{"@id":"https://rhiaro.co.uk/2013/07/sssw2013-research","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-5969396273262467883","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"The 10th Summer School for Ontology Engineering and the Semantic Web
\r\n_
\r\n_Sunday
Arriving by train into Cercedilla, north of Madrid, we immediately encountered\r\nother confused looking folk with poster tubes. So we shared taxis (EUR 10)\r\nfrom Cercedilla station to the summer school residence further north, in the\r\nforest.
\r\nAfter getting keys for our pleasant, single, en-suite rooms, arrivals\r\ncongregated in the shade by the building to introduce ourselves.. Again, and\r\nagain, and again, as new people continuously arrived over the space of a few\r\nhours.
\r\nA really broad mix of people are here in terms of nationalities and places\r\nand levels of study, but I still haven't quite got used to the fact that\r\nanswering 'Semantic Web stuff' is not specific enough in this crowd, when\r\nsomeone asks you what your research is about. Nobody needs convincing that\r\nthese technologies are useful!
\r\nLater we received schedules, maps, ill-fitting t-shirts* and very helpful name\r\nbadges, and headed for dinner at the bar down the road.
\r\nAs is traditional when I write about my experiences in new places, I will\r\ndescribe the food every day. It has become apparent, at this residence at\r\nleast, that variety of ingredients is not ordinary, so in this respect meals\r\nare simple. Dinner that first night started with a salad (lettuce, olives,\r\ntomato, onion, shredded beetroot and a single slice of hard boiled egg; no\r\ndressing), followed by - for the majority - slices of meat (beef? Pork? I\r\ndunno..) and fries. Mine was a plate of mushy green vegetables with a little\r\nseasoning, that was pretty tasty. Dessert was a single pear, delivered with\r\nceremony, but otherwise unadorned. Healthy, at least.
\r\nYet we were all (those I sat with at least) were left feeling a little\r\nunsatisfied.
\r\nI shared a table with a French, Spanish, Italian and Irish guy. Conforming\r\nappropriately to stereotypes, and setting up reputations for the rest of the\r\nweek, the French and the Italian shared the bottle of wine on the table; the\r\nrest of us went without.
\r\nI returned to bed after a couple of hours of socialising and enjoying the cool\r\nair in and around the bar.
\r\nMonday
\r\nThe day started early, and with no hot water or wifi for anyone. Breakfast\r\nwas combinations of sweet pastries, coffee, tea, juice and bread.
\r\nPunctuated variously by coffee breaks, the learning began in earnest.
\r\nDuring the introduction by Mathieu D'Aquin, I found out that I am one of 53\r\nstudents selected out of 96 applicants to attend this year's Summer School of\r\nthe Semantic Web! I had no idea it was that selective, or that there had been\r\nthat much competition.
\r\nThe first keynote was by Frank van Harmelen, about all the Semantic Web\r\nquestions we couldn't ask ten years ago.
\r\nSlides:
\r\nSemantic Web questions we couldn't ask 10 years ago from Frank Van Harmelen
\r\nFrank started by saying that the early Semantic Web vision has morphed into\r\nthe more manageable vision of a Web of Data, or a Giant Global Graph, and\r\noutlined the principles of the Semantic Web as they appear to stand at\r\npresent:
\r\n1\\\\\\\\. Give everything a name (entities).
\r\n2\\\\\\\\. Relations form graph between things.
\r\n3\\\\\\\\. Names are addresses on the Web (so we inherit properties of Web like AAA).
\r\n4\\\\\\\\. Add semantics.
Frank pointed out the advantages of the fact the Linked Data crowd, grown\r\nnaturally and not designed, is now so big we don't know how many triples it\r\ncontains, nor how fast it is growing. Companies and organisations (like\r\nGoogle, NXP, BBC, DataGov) are using Semantic Web technologies to achieve\r\ntheir own ends, for a variety of different use cases, without caring much\r\nabout the Semantic Web, and this is contributing to the growth.
\r\nThis growth has given rise to a number of research areas that were impossible\r\nto realisitically ask questions about ten years ago, including self-\r\norganisation, distribution of data, provenance, dynamics and change, errors\r\nand noise (how to deal with disagreements).
\r\nFrank asserted that rules and structures, algorithms and patterns in data,\r\nexist whether we are looking at them or not. He used the analogy that OWL is\r\nour microscope, and it may be the tool that distorts our vision of the\r\ninformation universe rather than properties of what we are looking at (for\r\nexample, structures in data presenting themselves well in some domains but not\r\nothers).
\r\nHe went on to promote the roll of the Informatician to be to test theories,\r\nhypothesis and falsify, as scientists rather than engineers. To discover,\r\nrather than build.
\r\nI struggle with this view of the world, and feel instinctively that theory and\r\npractice are intrinsically linked; one can't exist without the other, not just\r\nin the grand scheme of things, but in day to day work and research. This is\r\none of the main points of contention with my own PhD, and I've no doubt there\r\nwill be many more blog posts about this issue in the near future as I\r\nreconcile my need to create something immediately useful with the necessity of\r\nproducing a contribution to knowledge at large.
\r\nSee my raw notes here.
\r\nWe had an Introduction to Linked Data by Mathieu D'Aquin (raw notes\r\nhere), followed by a workshop. We wrote SPARQL queries to populate a pre-\r\nwritten web page with information about Open University courses, sub-courses\r\nand locations thereof.
\r\nLunch, similar to the previous night's dinner, was a starter salad, an entire\r\nhalf chicken (or something) plus fries for the carnivores and the most\r\nunappealing risotto of my life for (not that I'm ungrateful, but I have never\r\nbeen unable to finish a meal due to boredom before). I went for a walk with\r\nsome others to grab some fresh air before the afternoon's work, and missed out\r\non watermelon.
\r\nManfred Hauswirth presented some really exciting stuff about annotating and\r\nusing streams of data. Particularly challenging is how to integrate this\r\nwith static data and make inferences over the lot. Streams include sensor\r\ndata, as well as ever-flowing social media streams for example; anything that\r\nchanges over time.
\r\nThey've built some systems to process this kind of data, and one of them is\r\navailable as middleware.
\r\n\r\nIn the afternoon we had a poster session, where all participants pinned up\r\nposters about their work, and discussed at length with anyone who was\r\ninterested. Here's evidence that I participated.
\r\n\r\nAnd here's Paolo's:
\r\n\r\nI wrote a few notes about things from other peoples' posters that I need to look\r\nup.
\r\nThe main feedback I received was about making sure I focus, narrow down my\r\ntopic, and concentrate on some evaluatable deliverables that are PhD-worthy.
\r\nQuestions like (paraphrasing) "why should we care about digital creatives?"\r\nthrew me, because I thought the obvious answer - that they are people too,\r\nWeb users, technology users, contributors to culture and an ecosystem of\r\ndigital content and data - was apparently not enough from an academic\r\nstandpoint.
\r\nI was simultaneously told to focus more, and to explain why the problem I'm\r\ntrying to solve is applicable to all domains, not just digital creatives. But\r\nsome of the problems I'm looking at have been (or are being) solved in other\r\ndomains (like e-health, biological research, education) and the reason what\r\nI'm doing is interesting is because none of these solutions quite work for\r\ndigital creatives, and I want to find solutions that do, and try to figure out\r\nwhy.
\r\nI'm still stuck in some sort of struggle between theory and practice; thinking\r\nand doing. And the long-standing problem of how to decide which doing\r\nactually worked.
\r\nI've started scribbling notes about the narrowing down problem. I'll need to\r\nhave this figured out before my first year review in August anyway, so stay\r\ntuned for another post all about it.
\r\nThen I sneaked off for a nap.
\r\nDinner at the bar again; the usual salad, plus some eggy fish thing for most.\r\nI got a plate of artichoke. Artichoke is great, I love it, and I'm all for\r\nsimple meals. But I remain unconvinced that a plate of only artichoke\r\nconstitutes an acceptable level of effort on the part of caterers. And the\r\nsheer quantity made it start to taste a bit funny after a while. But not to\r\nworry; we rounded off with a solitary peach apiece.
\r\nFurther socialising, and appreciation of the night sky, before returning to\r\nbed write blog posts.
I'm super excited and inspired by the talks, work I've heard about so far, and\r\nthe atomsphere of the place. I'm excited to learn a helluva lot, and remind\r\nmyself that I'm not facing impossible problems, and am not facing many\r\nproblems alone. I remember that I am instinctively passionate about the Web\r\nand the possibilities it holds (and indeed has already realised) for the\r\nempowerment of individuals. I remember how lucky I am to be able to sustain\r\nmyself through studying something I love so much, and to have the potential to\r\nmake a change, and through my work maybe even facilitate others to be able to\r\nmake a living doing what they love, as well.
","as:name":"#SSSW2013: Research in theory and practice, and where on earth am I?","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-07-08T23:30:00.000Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/done"},{"@id":"blog:Done"},{"@id":"https://rhiaro.co.uk/tags/cercedilla"},{"@id":"https://rhiaro.co.uk/tags/events"},{"@id":"https://rhiaro.co.uk/tags/hacking"},{"@id":"https://rhiaro.co.uk/tags/knowledge+engineering"},{"@id":"https://rhiaro.co.uk/tags/learning"},{"@id":"https://rhiaro.co.uk/tags/linked+data"},{"@id":"https://rhiaro.co.uk/tags/madrid"},{"@id":"https://rhiaro.co.uk/tags/ontologies"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/poster"},{"@id":"https://rhiaro.co.uk/tags/presenting"},{"@id":"https://rhiaro.co.uk/tags/semantic+web+summer+school"},{"@id":"https://rhiaro.co.uk/tags/spain"},{"@id":"https://rhiaro.co.uk/tags/sssw13"},{"@id":"https://rhiaro.co.uk/tags/sssw2013"},{"@id":"https://rhiaro.co.uk/tags/summer+school"},{"@id":"https://rhiaro.co.uk/tags/travel"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-07-17T14:52:15.424Z"}},{"@id":"https://rhiaro.co.uk/2013/07/weeks-review-sssw2013","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-1329700495515273792","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"8th - 14th July
\r\n
\r\nSemantic Web Summer School, much heat, much fun, much learning... Here's an index of my posts.
15th - 21st July
\r\n
\r\nFriends visited. Progress included writing notes to myself to figure out just what my PhD outcomes really are, and why. Came up with:
1\\\\\\\\. Recommending how to usefully describe diverse amateur creative digital\r\ncontent (ACDC) using an ontology.
\r\na) What are the parts of ACDC that need to be represented? Identify and categorise properties. How do these differentiate it from other similar content?
\r\nb) What existing ontologies can be used to do this, and how do they need to be extended?
2\\\\\\\\. Building an initial set of linked data about ACDC, and providing means for\r\nits growth and use.
\r\na) Manual annotation of ACDC, and refinement (to test ontology).
\r\nb) Tools for automatic annotation of the parts of ACDC that it is possible to automatically annotate.
\r\nc) Tools for manual annotation by the community of content creators and consumers for the parts of ACDC that cannot be automatically annotated.
\r\nd) Tools to expose the linked data for use by third-party applications.
3\\\\\\\\. Create and test an example service which uses the linked data to benefit\r\ncontent creators and/or consumers.
\r\neg. Unobtrusive recommendations for collaborative partners (most likely); content recommendation; content consumption analysis (like tracking viral content); community building / knowledge sharing in this domain; ... .
22nd - 28th July
\r\n
\r\nBrainstormed with Ewan about stage 3 (above), and came up with the idea of an interface that allows content creators to allocate varying degrees of credit for roles played by different people when collaborating on a project. This would serve to both gather collaborative bibliographic data, learn things about how different segments of the community allocate credit, and provide a potentially useful tool for content creators. With the future value that, if we can learn enough to estimate role inputs from different people, it could be used for things like automatic revenue sharing.
Then spent the rest of the week in London, frolicking amongst the YouTubers\r\n(including attending a meeting at Google about secret YouTube-y stuff), and\r\nannotated some ACDC. Write-up coming soon.
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