Karen,

It's hard to say what "basics" are.  We had a learning group at Emory that covered a lot of the "what is it", including mostly what you've listed but also the environment (library and cultural heritage, and larger environment), but we had a harder time getting to the "what do you do with it".... which is what would really motivate and empower people to go ahead and get beyond basics.

Maybe add:

How do you embed linked data in web pages using RDFa
(Difference between RDFa and schema.org/other microdata)
How do you harvest linked data from web pages, endpoints, or other modes of delivery?
Different serializations and how to convert
How do you establish relations between different "vocabularies" (classes and properties) using RDFS and OWL?
(Demo) New answers to your questions enabled by combining and querying linked data!

Maybe a step toward "what can you do with it" would be to show (or have an exercise):

How can a web application interface with linked data?

I suspect there are a lot of people who've read about it and/or have had tutorials here and there, and who really want to get their hands in it.  That's where there's a real dearth of training.

An "intermediate level" workshop addressing (but not necessarily answering!) questions like:

Do you need a triplestore or will a relational database do?
Do you need to store your data as RDF or can you do everything you need with XML or some other format, converting on the way out or in?
Should you query external endpoints in real time in your application, or cache the data?
Other than SPARQL, how do you "search" linked data?  Indexing strategies...  tools...
If asserting  OWL "sameAs" is too dangerous in your context, what other strategies for expressing "close to it" relationships between resources (concepts) might work for you?
Advanced SPARQL using regular expressions, CREATE, etc.
Care and feeding of triplestores (persistence, memory, ....)
Costing out linked data applications:
   How much additional server space and bandwidth will I (my institution) need to provision in order to work with this stuff?
   Open source, "free", vs. commercial management systems?
Backward conversion -transformations from linked data to other data serializations (e.g. metadata standards in XML).
What else?

Unfortunately (or maybe just, how it is) no one has built an interface that hides all the programming and technical details from people but lets them experience/experiment with this stuff (have they?).  So some knowledge is necessary.  What are prerequisites and how could we make the burden of knowing them not so onerous to people who don't have much experience in web programming or system administration, so they could get value from a tutorial,?

Laura

Laura Akerman
Technology and Metadata Librarian
Room 208, Robert W. Woodruff Library
Emory University, Atlanta, Ga. 30322
(404) 727-6888
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-----Original Message-----
From: Code for Libraries [mailto:[log in to unmask]] On Behalf Of Karen Coyle
Sent: Wednesday, September 04, 2013 4:59 AM
To: [log in to unmask]
Subject: Re: [CODE4LIB] What do you want to learn about linked data?

All,

I had a few off-list requests for basics - what are the basic things that librarians need to know about linked data? I have a site where I am putting up a somewhat crudely designed tutorial (with exercises):

http://kcoyle.net/metadata/

As you can see, it is incomplete, but I work away on it when so inspired. It includes what I consider to be the basic knowledge:

1. What is metadata?
2. Data vs. text
3. Identifiers (esp. URIs)
4. Statements (not records) (read: triples) 5. Semantic Web basics 6. URIs (more in depth) 7. Ontologies 8. Vocabularies

I intend to link various slide sets to this, and anyone is welcome to make use of the content there. It would be GREAT for it to become an actual tutorial, perhaps using better software, but I haven't found anything yet that I like working with.

If you have basics to add, please let me know!

kc



On 9/1/13 5:37 PM, Karen Coyle wrote:
> I'm thinking about training needs around linked data -- yes, that
> includes basic concepts, but at the moment I'm wondering what specific
> technologies or tasks people would like to learn about? Some obvious
> examples are: how to do SPARQL queries; how to use triples in
> databases; maybe how to use Protege (free software) [1] to create an
> ontology. Those are just a quick shot across the bow, and from my
> basically non-techie point of view. Please add your own.
>
> If you can't say it in terms of technology, it would be as good (if
> not maybe better) to say it in terms of what you'd like to be able to
> do (do searches, create data... )
>
> This is very unscientific, but I think it's a worthwhile conversation
> to have, and maybe can help get some ideas for training.
>
> kc
> [1] http://protege.stanford.edu/
>

--
Karen Coyle
[log in to unmask] http://kcoyle.net
ph: 1-510-540-7596
m: 1-510-435-8234
skype: kcoylenet

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