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visitation all for texture that does it
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so all the idea was to uh have um visualisation
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of textual that asset and a possibility or for carrying a
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such a a database is a totally visible
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so usually you have this when you are performing
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a search you know it very well uh ooh and
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the output is kind of a linear information so
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you um could have much mall but for many reasons
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uh mostly money uh we uh you off this kind of output
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so the idea was to uh say okay in an information space
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we have more information like keywords that we can extract from publications
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like also is that we can uh uh ah of organisation
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and so on can we uh displays them in a way that people can interact with them
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and uh uh having more uh having a
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deeper insight on the uh that asked of course
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i am doing it on a chance if you duplications database but uh we have uh
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it's very vessel to in fact and we are uh doing it on a many different projects
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in their mates even in a few that particle physics we
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have uh some application so we have different projects that are uh
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are that are on the run at the moment
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so the idea is to beat each time a a coke you once
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is that in the data set so co so school accurate and so on
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uh that soul at the beginning where where where present things on on the bike
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graphs and we have a um moved little by little the first two i paragraphs
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uh which is just an extension of crafts uh to uh
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a link between many of yes this is instead of two purchases
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and uh now uh we are moving to what we call i. h. b. crafts all it's a um
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in i perhaps you have a family of uh that are
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composed of uh sets and now we have family of multi sets
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so when we decide it's you can a duplicate elements but you can also put individual weights
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and this uh allow you to do a lot of uh a lot more things in fact to complete the structure
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of a hyper groups
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so for instance and yeah the interest is out there and we can
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we can do uh some diffusion on this kind of uh that asset
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um on this kind of that worked the idea was to have a a
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diffusion that is done in two phases and um one is still on the uh
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that is is one step and user step is done on the h.
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p. h. uh that links the the that this is a vocal currents
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and so we age uh no i we had the journalists condom okay and uh
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so we can wrong both that this is an urge th by this way and uh
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it enables costing of h. b. craft behind and also a g. i. d.'s to uh uh
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we find that the the output that we have in the text or way to all the it differently
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so that's the next that it's not done already
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so in a scientific publication the database you will have this kind
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of data um you will have your articles a. b. c. d.
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your organisation one side your keywords user side that you have extracted
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or that you have the that have been put by the author
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and so you are reading your coat currencies and you can visualise it and uh this what
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here you are as a reference we choose the the publication itself
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and we build the co occurrences uh of uh organisation
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but we can do
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something a bit different just putting ways
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and it comes naturally when you take as referenced the roots
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then you see that some organisation all curing many times
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and you need to have individual weights uh that are touch low uh the um
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to uh to the organisation and in this tax in this kind of a
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thing and then you you need the h. b. graph two two two models and
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then after we built a framework that almost to me but uh
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to work into it i'm not i'm going in the in
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the details but uh the idea is that we have the reference
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and we have a physical reference which is usually the publication or any and they did this way
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so there's a market in between the reference and the uh physical uh a reference and
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we can buy this physical reference go
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everywhere on every facet of the information space
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and so from there you can vary what you want and
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you can also change a preference and asking a different question
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oh
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you can retrieve your uh a draft of search and as
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every node every vet x. it is uh uh interactive both uh
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the the the vet uses of a of a lot of cocoa wants
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but also the extra not that we put two symbolises the reference uh
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we can see to your for instance you have fall fall fall um
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uh that that this is not on link by the by a reference
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and this references attached to the physical reference all too many physical reference
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and so you can
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uh explore your graph of search you can match graph of search of
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different people you can save it and a replay it uh uh after future
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so in fact use i i'm going to make a little demo uh we have
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also put more information so people can uh uh uh
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have additional information for also seen uh for instance you have a link to d. b. l. p. uh
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for publication uh uh you have the abstract and the for an article on oxygen
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uh uh for the keywords you can link them to uh we could video information
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and uh uh some the the goal of uh does somebody creation uh one of the information
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so all the cherries are made online and everything is processed online
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okay
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and incorrect is it's very vested because uh we can do it also just like having the uh uh
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metrics of uh of me too sleazy to add so the incident matches uh of of the h. b. crap
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and so from there we can uh change the reference varies
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so this is just a little bowser of the the biggest one which is collaborations putting and from san
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and um uh so the it's a project that is uh maybe now six seven years ago
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uh it started six seven years ago and um uh it's totally it
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this this one is totally generic and uh we're paid to difference to change
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just like with the movie
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uh_huh
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yep
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so
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think of the last is this going to be hard for me
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let's imagine that we are looking for something on a genus huh
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and we want the fifty first uh has a and results
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then you retrieved information so everything i we we uh carry oxygen so
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you all the information that is retrieved from the l. c. v. p. i.
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you have of course what i say the uh everything to gould to of uh uh the abstract
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for two of the p. d. f. for the folks phones so it's uh this is not
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this is common
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but you can also interact so here you have audio so's users
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are given by the uh uh sorry and maybe we should put it
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uh_huh
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whose can
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and you skip church no i don't
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so you have your your your view all sorts of course you can say now i'm interested i i
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don't know in this collaboration so what you will see
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everything on every fast set what is concerning this collaboration
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and uh it will be a highlighted in uh in the different uh places
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so you can see the keyword that where uh the most are represented in the in the publication
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and also the subject category that is provided by uh oxygen
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the curator not provided by alex if you have to process them
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okay
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then uh
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so here you see you see that there's a a huge
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part that is a very uh uh linked and there are some
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oh clay that all players or some different subjects that are
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yeah or not uh related to the what was gone for
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so if i want to search on the gene and it's
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uh it's 'cause of frail i just off to say okay
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now i want june and schizophrenia so we could we compute automatically everything
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then you will have your graphs and you can refine your search just what you can put or not whatever you want

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