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Harith 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.
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