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Alexander Drechsel @adrechsel
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Spending the morning with our dear colleagues @translatores to learn about “Linguistic linked #opendata for #terminology” - with Elena Montiel-Ponsoda (Polit. Madrid, a trained #1nt, btw) & @jor_gracia (Uni Zaragoza) #xl8 /cc @Goldsmith_Josh @WordLo @RodolfoMaslias @Jeromobot First slide of the presentation with title and authors
This should be a great preparation for #18TEF in a few weeks which is also all about language/translation data.
We’re starting with the limitations of “traditional data”: lots of stuff out there, connected by hyperlinks, but still accessed 1-by-1, unstructured, difficult to interpret, hard to integrate different formats. Oh my!
Moving to “linked data”: I’ll need to watch this @TEDTalks from @timberners_lee on “Linked Data Principles”:…
More on “linked data” here on the @w3c website:… A cup with linked data principles, incl. online content with open licences, machine-readable, non-proprietary format, RDF standards
Wikipedia on “Linked Data”:… In computing, linked data (often capitalized as Linked Data) is a method of publishing structured data so that it can be interlinked and become more useful through semantic queries.[1] It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers.
We’re moving towards the concept of the semantic web here…… The Resource Description Framework (RDF) is a family of World Wide Web Consortium (W3C) specifications[1] originally designed as a metadata data model. It has come to be used as a general method for conceptual description or modeling of information that is implemented in web resources, using a variety of syntax notations and data serialization formats. It is also used in knowledge management applications.
So what can linked data be used for? Well, think @Wikipedia, @Babelscape’s BabelNet, @EuropeanaEU or the @EU_opendata portal.
Another example: @BBC‘s huge music database (, powered by @dbpedia and @MusicBrainz.
(I‘m getting nostalgic for @microformats, that‘s how old I am. Are they still a thing?)
Those “rich snippets” you see in search results? Yup, also linked data!… #KnowledgeGraph #Ontology Example of a search for “Enya” on DuckDuckGo
Someone mentioned the C word! That’s #copyright for you. The best open data is data with open licences like @creativecommons. More here:
Here’s a little exercise for you 😉 (Sadly, it does not seem to work on mobile devices.) Exercise: Go to In “simple search option”, choose “dbpedia” and “Portugal” as keyword. Explore the tool. Try to go from “Portugal” to the “5 Euro note”.
Coffee ✅

Next up: Linguistic linked data, using the example of Lemon-Ontolex 🍋…
And we’re deep in linguistic nerd territory now: How can language information be described and put to use for translation?
A practical example: Lemon-OntoLex can be used to combine formerly separate data silos: TerminEsp and @termcat, using URIs for every linguistic element and SKOS (Simple Knowledge Organisation System) for conceptual information. More info:… (@SlideShare)
You can try this out yourself:… (TermCat had fewer languages than TermEsp, but combining the two extends language coverage. Neat!)
Lesson learned: When life gives you lemon(-ontolex), make cool linguistic linked data 😉
How about another hands-on exercise? Go to and play along.
A few more cool resources to wrap up the session:

- @dbpedia Spotlight: (annotate text with Wikipedia info)

- BabelNet:…

- Babelfy: (annotate text with BabelNet data)
Babelnet’s “Explore network” is really cool:
That’s it - thank you to Elena & Jorge for an engaging and super-interesting morning! #xl8 #CPD
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