Adventures in vocabularies for a multi-disciplinary thematic archive of water-related research

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Video in TIB AV-Portal: Adventures in vocabularies for a multi-disciplinary thematic archive of water-related research

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Adventures in vocabularies for a multi-disciplinary thematic archive of water-related research
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Sharyn Wise from University of Technology Sydney (UTS) gave this presentation to the December 7, 2016 meeting of AVSIG, the Australian Vocabulary Special Interest Group. Sharyn discussed vocabularies in relation to the Data Hub of Australian Research on Marine & Aquatic Ecocultures (dharmae)
Adventure game Point (geometry) Implementation Presentation of a group View (database) Projective plane Expert system Online help Water vapor Mereology Personal digital assistant Different (Kate Ryan album) ECos File archiver Local ring
Domain name Fisher's exact test Dependent and independent variables Implementation Touchscreen Observational study Twin prime Multiplication sign Projective plane Water vapor Mereology Connected space Data management Different (Kate Ryan album) Decision support system Authorization Right angle Local ring
Point (geometry) Satellite Multiplication sign Capillary action Water vapor Medical imaging Internet forum Term (mathematics) Harmonic analysis Energy level MiniDisc Computing platform Area Focus (optics) Multiplication File format Length Content (media) Term (mathematics) Tablet computer Subject indexing Internet service provider File archiver Species Quicksort Window
Key (cryptography) Decision theory Decision theory Multiplication sign Mass Computer programming Word Mathematics Data management Length of stay Locally compact space Quicksort Library (computing)
Point (geometry) Email Scheduling (computing) Implementation Building Functional (mathematics) Service (economics) Open source Link (knot theory) Multiplication sign Linked data Range (statistics) Digital library Mereology Semantics (computer science) Medical imaging Goodness of fit Mathematics Term (mathematics) Different (Kate Ryan album) Bridging (networking) Energy level Multiplication Computing platform Context awareness Cone penetration test Touchscreen Theory of relativity Information Building Debugger Type theory Query language Website Pattern language Quicksort Musical ensemble Table (information) Identity management
Context awareness Server (computing) Channel capacity Information Content management system Connectivity (graph theory) Multiplication sign Source code Electronic mailing list Bit Parameter (computer programming) Food energy Route of administration Field (computer science) Category of being Type theory Term (mathematics) Species
Touchscreen Multiplication sign Source code Set (mathematics) Bit Software maintenance Exterior algebra Different (Kate Ryan album) Speech synthesis Species Quicksort Local ring Spacetime Row (database)
Domain name Degree (graph theory) Purchasing Different (Kate Ryan album) Variance Regular graph Semantics (computer science)
okay so I'm gonna talk more from the end user of vocabularies point of view the last thing I would claim to be is an expert in vocabularies and you'll probably see what if i go through the presentation but I'm we built during the major for data collection project the ends project data hub of australian research on marine and aquatic ecologist and I'm it let us sit down a few different adventures in vocabulary implementation part of that was because the archive was conceived as a multidisciplinary China hub and it was named around water related research so when we talk about eco cultures in the title of the heart it denotes a concept which is central to two of the dollar collections that we needed the help with both of which dealt with the failure of science-based policy in the case of local implementations so one of those
was a project called talking fish which was investigating the relationship of local stakeholders in the Mary darling basin region and after us to be a drought the howard government have legislated the water at to that commoditized water and in the marriage only based in a controversial water management regime was put in with mixed environmental social and economic impacts and the in marriage island-based authorities you had been criticized at that time for failing to engage with the communities and this study was part of the response so it was actually a social science study but the participants included and professional and recreational fishers indigenous people who lived in that region and have for many thousand years and Donn that's an average your fish trap you can probably see there on the right of the screen and also they interviewed science scientists
in college assists and so there was a wider range of disciplinary expected in it and in the other simply more kind of social sciences or on cultural history oriented once and then a second collection similarly I'm concerned marine parks and was a scientist here i'm dr. Michelle boy who is on asking why did evidence-based policies fail on in the implementation of marine parts when they were essentially based on really solid and sound science so she was also moving to a social science approach so i guess most of the projects point to the need for a kind of improved connectivity between quite different knowledge domains science as a way of understanding the natural world but also social science and cultural history to investigate human practices and where the two interactive and so we came to the decision support multidisciplinary daughter and hope that we'll be able to bring rather periodically bringing science and social science together i'm one of the first things we looked at was
about what was water and this was before we looked at the data that we had and we were looking for though cabs that would help us to index so I'm you know water related terms and interestingly at that time we found there was not much going on with the harmonization of water back abs but we didn't know that Simon Cox and i'm quite a lot of work in the area so that's really great to abstain and i recommend having a look at what Cyrus done in that area and also many of the vocabularies and we found were actually you know may as well have been written in stone tablets they were on the image documents and things like that so we're really came to and go with something that was accessible machine-to-machine since and and ultimately when we do look at the data we realized that water was the theme of the whole archives and but that it wasn't necessarily the subject because actually there are a lot of other subjects that came out more strongly ok water-type everything to keep water research x means together and I think if we included or if we do include more scientific data in the archive it's quite likely will reconsider whether water vocabularies will be relevant but at this point the only scientific Charmeleon the archive is and some species data from LA and also some terrestrial ecosystems satellite images so you haven't needed to do that yet so the main vocabulary is going to
focus on my talk with was subject we were looking for their capillaries that were used really widely collecting institutions are available in machine-to-machine format because we were aiming for a reusable iphone basic election platform and that supported Australian terms and had coverage of multiple disciplines at the level of an educated public readership and that was sort of inspired by the and content providers glide-on concept about you know a mr. moderator who had familiarity with research area but not necessarily a specialist because that supports cross-disciplinary truth so the window
decision words 2 i'm actually use both the Library of Congress subject headings and also schools online for sorts yay let's um so y los firstly the answer
of why lch is pretty amazingly answering this courey I should my found essentially because L CSH are used widely have change management program in place um and as you mentioned several other times in there is used widely again it's used white week and so that idea you know I mean interoperability is obviously key concept in vocabulary zand essentially we used lth for that reason as to why Scott well we found that it
was amazing looking it's a really amazing resource we chose it because it was there was a sparkle and point it was set for a good audience level it was multidisciplinary but it was sort of aiming catch educated or educational uses and it had an Australian flavor and i'm showing you a schedule screen here as well I hope you can see here I'm essentially the school screen that shows how I'm in Scott if you just search for oxbow lake which is actually a foreign according to australian term for available then it actually does find the items that come up that reference available so it's obviously a related turn or I'm not sure how to put the expressed in sparkle but anyway it's obviously there's a related term in that soros unfortunately we didn't actually get to implement the approach schedules taking here in the front end or the website you know information in our search facility on the Dharma site um i would really like to because i can get help support a wider range of user discourses and the edges closer to a semantic search approach but we had some implementation issues around the problem pattern um perform solo search that unites that with a sparkle query looking for related terms and i think i'm going to clean out as to how to do that but I'm that's not what we did at the time I'm so let's just have a quick look at what we did to be implemented and because we were
looking to be multidisciplinary you know part different start types of data we wanted to use the link daughter approach on and we thought that was a good buy a building bridges or relations between discipline contacts so obviously linked data as we heard from this before it relies on you are is on so basically named entity should be linked by you our eyes so that helps to contextualise them and also the relationship should be described so we're using emeka which is a open source digital library platform and it's quite usable for technical services and supports item relations so I'm on the image on the screen you can see that it's linking we can link named entities like people and institutions to actions but so it goes some way to providing a link to other approach but certainly not far enough because it's not always possible to include that URI to on identify the named in cheese and we needed to extend its functionality so one thing we did was and table a p.i connections so that we could connect controlled vocabulary return to our eyes and so here's the change that
we made to the other maker at me um we're looking at the content management system and we have an item here we're editing the item to add a subject and so essentially with made it so that the lookup can actually interrogate more than one data source and return terms based on what the damn librarian has typed in so here the data librarian is beginning to type in philly energy and they're getting on the top terms from the list from scott and I'll CSH for that for that bit of text ok so essentially behind-the-scenes what we're doing here well the idea for this was that down librarians can check the subject scope let go and it also means that because the URIs returned that the context of the use of that term is not ambiguous and um we used a server component called feel my list to you know basically to you can be configured to query one or more data sources and return the URIs for the terms so that's how we got to have more than one vocabulary which i think on according to my old lis lecturer would have been a heresy in the old days of lis and i don't know why that is wasn't because of technical in kept in capacity to support more than one category for a field and there a potentially problems get up for example we had on arguments over which was the better term where terms were representing essentially the same College concept that and i'm still I'm still kind of open to the idea of having more than one sort of recombinant least being added to one field as a category it's not interested to hear what people think about that ok one other thing I thought I'd really
quickly run through sorry don't have running out of time we also wanted to make fish this fish species information on something that could be automatically searched in the sense that on fish can have many names I mean scientifically speaking in terms of biological attack so there's no such thing as efficient that should have warned us that fish species weren't going to be a time because as we hoped
but no we went ahead and and we found that our species you know they're obviously another named entity so they should be amenable to link to the principles that once again it was challenging because Fisher people for example or the seafood industry or indigenous people or scientists we'll all call the same fish species by different names and we al azar source of truth speaking at the time we found on
the data that bitch name is also vary by geography so for example in example you can see on screen we discovered that one of the colleges would refer to as golden perch which is the preferred common name is also known by locals fishes in the south of the murray-darling Basin as callup but known as two fishermen in the North the marriage Ellen basins yellow-bellied so we had to create essentially what were effectively local records so that the drama how could maintain it's sort of like a little set of worldviews or set of alternate names while still interoperating with from LA so it essentially meant a bit of a crunch which was adding space record to a collection that has other benefits so
in fact on la garden purchase Korea and regular but regardless of beyond the name research on your return related license that mention any of the name variance so that's just two examples of how we were trying to support on search and also faceted search obviously and some degree semantic search that would allow for different ways and different knowledge domains in different ways of talking about my questions that come out
of this are what do you think about the idea of like recombinant vocabularies that I'm calling them what do you think of the possible problems and the second question was i guess about the difference between solar search and faceted search how do we get the two to get closer together and owned to provide semantic such capabilities so thank you