Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Ā
Soylent Semantic Web Is People! (with notes)
1. DOROTHEA SALO
UNIVERSITY OF WISCONSIN
SOYLENT SEM-WEB PLE!
EO
P
IS
So hello, guten morgen. My name is Dorothea Salo, and I teach many nerdy things, linked data among them, at the
School of Library and Information Studies at the University of Wisconsin at Madison. I ļ¬rst want to say vielen dank
-- thank you VERY much -- for inviting me here, and I hope I can kick off this conference in a fun and useful way.
2. Soylent Green DVD cover, c. 2007.
Fair use asserted.
In 1973 Charlton Heston starred in a science-ļ¬ction movie called Soylent Green. And itās a terrible movie, talky
and preachy and weirdly acted and often just dumb. So I donāt feel too bad about spoiling the big plot twist. In the
movie, the environment has degraded so badly that food canāt be grown, so what everybody eats is artiļ¬cial foods
called Soylent Whatever -- Soylent Red, Soylent Yellow, and the brand-new Soylent Green.
What they donāt know, until Charlton Heston yells it at the end of the movie, is that Soylent Green Is People! More
speciļ¬cally, Soylent Green is what happens when you make people into food. Ew. But the total nastiness of
cannibalism aside, whatās interesting about this movie is that you have this whole society that has absolutely NO
IDEA that itās completely dependent on people for its survival!
3. DOROTHEA SALO
UNIVERSITY OF WISCONSIN
SOYLENT SEM-WEB PLE!
EO
P
IS
Itās the year 2013... Data are still the same.
Weāll do anything to make sense of them.
And for that we need PEOPLE.
Now, weāre not cannibals here in Hamburg, we donāt actually eat people. I hope. No, but seriously, the parallel I
want to draw here is that the original Semantic Web vision curiously lacked PEOPLE, except maybe as the end-user
beneļ¬ciaries of linked data. I mean, you can go back and look at what Berners-Lee and his cronies wrote, and you
have all these people booking travel and getting health care or whatever because of all the nice clean shiny RDF
data whizzing around in nice clean shiny server rooms, sure. But the data whizzes around all by itself. Doesnāt
need people. There are no people. Just data.
And I just think this is a counterproductive, even dangerous, way to frame the Semantic Web. And still much too
common. *CLICK* So I assert that the Soylent Semantic Web Is People! Because I want a HUMAN semantic web. A
HUMANE semantic web. Technology without people is just dead metal and silicon. Data without people is just
noise.
4. SOYLENT SEM-WEBIANS!
AR
IBR
L
IS
Itās the year 2013... Data are still the same.
Weāll do anything to make sense of them.
And for that we need LIBRARIANS.
And more, since weāre here at Semantic Web in Libraries, I will assert that Soylent Semantic Web Is Librarians! We
are the Semantic Web, and the Semantic Web is us!
And I know that isnāt completely news -- we invented SKOS, we invented Dublin Core, we have Karen Coyle and
Diane Hillmann and Ed Summers, just for starters -- but if you had to ask me why this speciļ¬c conference is
important? Thatās what Iād say. The Soylent Semantic Web Is Librarians.
5. Image credits
ā¢ Server room: Alex, āserversā
ā¢ http://www.flickr.com/photos/40987321@N02/5580348753/
ā¢ Bulldozer: GlacierNPS, āThe rotary plowā
ā¢ (snow-thrower, not bulldozer, but whoās counting?)
ā¢ http://www.flickr.com/photos/glaciernps/7256028570/
ā¢ Graph: Jƶrg KanngieĆer, āGraph of klick.JĆrg - Die Homepageā
ā¢ http://www.flickr.com/photos/derletzteschrei/193506552/
ā¢ Librarians: Charles Greenberg, āIMGP0420ā
ā¢ http://www.flickr.com/photos/openknowledge/7610237288/
ā¢ All these images licensed CC-BY. Thank you, creators!
While we glance at the photo credits, Iāll tell you that what I want to do today is explain my thoughts about why
the Semantic Web is not soylent, not made of librarians, not made of people. I want to explain why it SHOULD be
soylent. And I want to challenge you in speciļ¬c ways to MAKE it soylent. My ultimate goal, which I imagine you
share, is strengthening library adoption of linked data.
6. Librarians
BUILD SYSTEMS
CROSSWALK TO
ARCHIVE
MODEL
MAKE
HOST
FOR
linked data
So letās decide, in approved RDF-triple style, just what properties we can assert about librarians and linked data.
And the usual properties I would expect people at this conference to suggest would be the technical ones.
Librarians MODEL linked data. Librarians CROSSWALK TO linked data. Maybe as simple as librarians MAKE linked
data. Librarians HOST linked data. Librarians ARCHIVE linked data. Librarians BUILD SYSTEMS FOR, and around,
linked data.
But none of those properties really belong to the Soylent Semantic Web, the Semantic Web made of people. These
properties are about the DATA, not the PEOPLE.
7. Librarians
ADVOCATE FOR
LEARN ABOUT
TEACH ABOUT
INVESTIGATE
ADOPT
DISCUSS
linked data
Here are some things librarians do, as people, in the Soylent Semantic Web. We INVESTIGATE linked data. We
DISCUSS linked data, sometimes not as knowledgeably as linked-data advocates might like. We LEARN ABOUT
linked data. We TEACH ABOUT linked data. We ADVOCATE FOR linked data. Or donāt. And now we get to the
crucial point: we ADOPT linked data.
8. Librarians
MOSTLY DONāT
ADOPT
linked data
Or we donāt. And we donāt because the Semantic Web community, librarians included, hasnāt acknowledged that it
needs to be soylent. We forget that the Semantic Web is made of people, lots of different kinds of people, some of
them people who are not like us and do not do the same work we do and do not have the same understandings
we have. We forget that we NEED our own librarian colleagues to help us make the Semantic Web, and put library
data into it -- and when we forget our librarian colleagues, our librarian colleagues forget us, and forget linked
data. And thatās not good.
9. Anfuehrer, āDer Fleischwolf bei der Arbeitā CC-BY-SA
http://www.flickr.com/photos/planetbene/4978709667/
And as I talk to librarians about linked data, what I hear back is that they feel ground up into hamburger -- sorry,
sorry, I had to -- by the whole thing, because the way itās usually explained to them, itās so abstract and so
divorced from the actual library work they know. The linked data movement can show them graphs, but it canāt
show them interfaces for doing their work. It can tell them about triples, but itās not telling them how the catalog
will work if their Internet connection fails. It can explain ontologies, but not how theyāll navigate them.
After one explanatory talk I gave, I had one cataloger tell me with immense frustration, āI just donāt see how this
will WORK!ā And I didnāt have a good answer for her. Because I donāt see that either.
10. THIS HAS HAPPENED
BEFORE
Now, switching away from Soylent Green brieļ¬y to -- anybody recognize this? I took it from the remade Battlestar
Galactica television series, which has this catchphrase, āthis has happened before.ā This is not the ļ¬rst time an
upstart technology has tried to upend an entire established infrastructure, along with the people using it.
11. XML
IN PUBLISHING
At the turn of the century, I was working in publishing. Speciļ¬cally, electronic publishing. Even MORE speciļ¬cally,
ebooks. And while some of the big journal publishers climbed onto the XML bandwagon, many other journals
didnāt, and the trade publishing industry just never did. I remember sitting in an ebook conference next to a highlevel editor from a Big New York Publisher, and we were listening to a fairly basic, fairly standard introduction to
XML, and I heard her sigh āThis is just not my world any more.ā She felt alienated. She felt ALIEN. Is there anybody
in this room who hasnāt heard a colleague express that alienation?
Even worse, XML didnāt make publishersā lives easier -- it made them harder! Editing, typesetting, indexing, all
these workļ¬ows got hugely more complicated for what looked at the time like super-dubious returns. And the
XML community took no notice whatever of their difficulties, the difficulties ACTUAL PEOPLE were having doing
ACTUAL WORK with XML. Why? Because the XML community was having way too much fun loudly proclaiming
XMLās superiority over everything ever, and going off into corners to have arcane technical arguments about XML
namespaces. Not very soylent! Not humane! Not made of people!
Now, publishers did still make some XML, I grant you. I saw a lot of it. Forgive my language, but trade publisher
XML was CRAP. It was garbage. You wouldnāt feed it to your pet Cylon, it was so bad. Which goes to show that
technology that doesnāt ļ¬t into real peopleās environments wonāt be used properly, if itās used at all.
12. INSTITUTIONAL
REPOSITORIES
IN ACADEME
How many of you knew this slide was coming? Go ahead, raise your hands. Yeah. If you know me, you know that I
am just so sad and angry about institutional repositories. In Europe, I know, it hasnāt been quite so bad, but in the
States, itās been WRETCHED.
But it was the same thing again. There was this technology that was going to make EVERYTHING BETTER, only the
people making the technology forgot all about the people who were supposedly going to use it! So we got these
stupid unusable unļ¬xable systems that did stupid things, and no big surprise, nobody willingly put anything in
them! Because they werenāt soylent! They werenāt made of people!
Incidentally, what happened to the people running institutional repositories? People like me? Well, we got blamed.
And I, for one, got OUT. I will NEVER work on an institutional repository again. This is a thing that happens when
systems donāt treat worker-people well. Worker-people abandon those systems, even people who truly believed in
them and had high hopes for them.
So when we lose catalogers, I think itās a serious problem.
13. TH I S WILL HAPPE N
AGAIN
So we have plenty of history of technologies not succeeding because they arenāt people-conscious enough. This
will happen again, to linked data, if weāre not careful. If the Semantic Web doesnāt remember that itās soylent -made of people. I donāt want that. You donāt want that. But thatās whatās going to happen if we canāt bring more
PEOPLE to linked data.
14. 3:
01
T2
SIS
t Auced)
e areprod
lid not
a sl slide
on (actua
en
Se
āRDF is built from XML.ā
Itās the year 2013... RDF is still the same.
Why do people who should know better
still believe RDF is based on XML?
Just as an example, I was at ASIST a couple of weeks ago, the big annual conference for the Association for
Information Science and Technology. And I went to a session on linked data -- and I wonāt be any more clear than
that, because Iām not here to embarrass any speciļ¬c person -- and I saw this on a slide. *CLICK*. RDF is built from
XML.
This kind of thing makes me think that eating people alive might actually be an interesting lifestyle choice! Maybe
you too? *CLICK* Because my gosh, itās twenty-thirteen, RDF never was built from XML, so why on earth do people
who really should know better still believe this strongly enough to put it on a presentation slide?!
So clearly education, even REALLY BASIC education, is a problem here. And itās a PEOPLE problem, not a data
problem.
15. Rex Pe, āstudent teacherā CC-BY
http://www.flickr.com/photos/goldendragon613/250121512/
And as an educator, itās MY PROBLEM, right? I think of education as my major role in furthering the adoption of
linked data in libraries. Educating future librarians and archivists and other information professionals. Educating
CURRENT ones, which I also do.
I gotta tell you, though, that current linked data infrastructure is NOT making this easy for me.
16. 1000
1000
(essentially
infinite)
750
500
250
150
90
0
45
HTML5
HTML5 / CSS
XML (MODS)
RDF
Teaching time for minimal competence
(in minutes)
Give me forty-ļ¬ve minutes, and I can drag a roomful of complete HTML novices through making an extremely
basic web page. I know this because Iāve done it! Give me another forty-ļ¬ve minutes, and I can drag those same
people through the basics of CSS. Again, I know this because Iāve DONE it. And yeah, they wonāt be web designers
after that, but they can go and practice usefully on their own and get better, and thereās a TON of resources on
the web to help them.
XML is a bit harder to explain and work with. But. If my roomful of people is actually a roomful of librarians or
library-school students? I can drag them through being able to make a basic MODS record in two and a half hours
or so. I know this. Iāve done it.
*CLICK* Hereās the thing. I donāt know how much time it takes to drag a roomful of novices through minimal RDF
competence. Iām not even sure what minimal RDF competence LOOKS like! So essentially it might as well be
inļ¬nite time. Iāve tried, I really have. I just donāt think Iāve succeeded. What are the problems Iām running into?
17. Dave Hosford, āDiving Board Catchā CC-BY
http://www.flickr.com/photos/baltimoredave/4813902094/
Part of my problem is that the training materials I have to work with force my librarian learners into stunts like
trying to catch a ball while jumping off a diving board. Really, a lot of the stuff thatās out there, even I bounce
right off of -- and I supposedly know RDF well enough to keynote a semantic-web conference!
18. Davide Palmisano, āIntroduction to Linked Data.ā Fair use asserted.
http://www.cambridgesemantics.com/semantic-university/introduction-to-linked-data
Hereās a linked-data introduction from Cambridge Semantics -- and in fairness to them, they didnāt make this for
librarians, but itās still one of the best things out there. But look at it. Just the ļ¬rst sentence *CLICK* and weāve
already brought in H-T-T-P and T-C-P-I-P without deļ¬ning them, much less explaining why theyāre important in
this context. My learners? My librarians and library-school students? They donāt know about the alphabet-soup
plumbing of the Internet! They might have heard H-T-T-P and T-C-P-I-P mentioned (quite likely by me, in
another class), but that doesnāt mean they KNOW. Theyāre just going to bounce right off this, or get distracted by
something thatās actually a pretty minor and useless detail.
It gets worse. Whatās the metaphor this intro picked out, to explain linked data? *CLICK* The relational database!
Speaking of things a lot of my learners donāt know about!
So this extremely well-intentioned and well-written tutorial is useless to me. It wonāt help the people I have to
teach, so itās NOT SOYLENT.
19. Sarah Deer, āduhā CC-BY
http://www.flickr.com/photos/sarahdeer/3666261790/
The answer to this dilemma is not to call my learners stupid. I warn you, I am not even going to LISTEN to that, so
donāt anybody try it.
Iām also not going to listen to any suggestion that librarians canāt learn about linked data until they learn T-C-PI-P and H-T-T-P and relational databases and XML and at least three programming languages. Thatās ridiculous.
Iāve been teaching tech to future librarians since oh-seven, and trust me, with most things you can meet them
where they are -- which can, yes, be a REALLY low skill level -- and still teach them a lot.
20. B.S. Wise, āhumanity. love. respectā CC-BY
http://www.flickr.com/photos/bswise/4621075758/
How does that work? The answer -- the SOYLENT answer, the answer that acknowledges my learnersā HUMANITY
and their LOVE for what they do -- the answer is respect. Primarily, respect for librariansā existing knowledge
base. And this is the principle I try to build my lessons on -- draw from what my learners already know.
21. I start with
METADATA
MARC
because they get it.
So I try to teach linked data based on my learnersā interest in it. No surprise, for most of them, their interest has a
lot to do with linked data replacing MARC. *CLICK* The rest of them are digital librarians and archivists, or
aspiring digital librarians at any rate, and for them I keep library metadata practices in mind.
*CLICK* So, for the sake of time, letās just stick to MARC. What happens when I try to translate MARC skills and
practices into a linked-data context?
22. xlibber, āBad Parkingā CC-BY
http://www.flickr.com/photos/xlibber/3870106899/
What happens is the same thing that happened with publishers and XML -- I crash my little linked-data car RIGHT
INTO all the work that libraries now do, all the work that forms the FOUNDATIONS of library data, that is just
IMPOSSIBLE to even DEMONSTRATE with linked data.
23. I wonāt tell you all my tales of woe -- I have a lot of them! -- but hereās one. I teach this continuing-education
course that introduces XML and linked data to working librarians. This fall I wanted to add a couple of weeks on
Open Reļ¬ne to it. Because I thought that data cleanup was important to teach, for starters. And I thought that
reconciling some random spreadsheet metadata with existing linked data stores would be a cool demo, with
pretty obvious relevance to real-world librarian work.
So naturally I thought about name authority control. Right?! Because itās just so basic to what librarians do.
Because itās something the rest of the linked-data world is totally learning to do from libraries! Because even in
the States -- where weāre kind of behind Europe in linked-data experimentation -- even in the States we have
these great name authority linked-datastores, VIAF and the Library of Congress, so I thought this would be EASY.
24. I learned very quickly, of course, that I canāt use VIAF from Open Reļ¬ne, because thereās no SPARQL endpoint for
it. And Iām on the record here, so Iāll just say -- YOU tell ME why not.
So, okay, that doesnāt work, what about the Library of Congress? Naturally I went right to the source, Ed Summers,
because who wouldnāt?
25. Oops. Canāt do authority-control reconciliation THAT way either. And this is where I confess the limits of my own
knowledge: I donāt KNOW how to build a web-available triplestore with a SPARQL endpoint off somebody elseās
data! And this lesson I was working on was two weeks from going live -- I didnāt have time to ļ¬gure it out!
26. So I asked if anybody else had maybe done authority control with Open Reļ¬ne and could show me how. I just
needed a simple demo!
I heard nothing.
27. So let me just say, trying to put together a useful lesson about how to do ACTUAL LIBRARY WORK with linked data?
Was NOT a super-humane experience. I felt annoyed. I felt stupid. I felt frustrated. I felt like hey, if the Semantic
Web is so soylent, HOW ABOUT I JUST EAT UP ALL YOU LINKED DATA NERDS?
And I am a vegetarian!
Authority control is basic, basic stuff, folks. Many librarians consider it a touchstone of library practice, something
CENTRAL to our professional identities. (So to speak.) If I canāt do authority control with linked data, do not even
TALK to me about how linked data is more ļ¬exible, linked data is wonderful, linked data is superior -- linked data
is USELESS. It is useless for librarians in practical terms. Thatās not a problem with librarians. Thatās a problem
with linked data.
28. The end of the story, just to add insult to injury, is that THIS happened. Though I was able to ļ¬x it, after some
searching and ļ¬ddling. And that leads me to another thing I want to talk about, which is the state of tools
available for just messing around with linked data.
29. These are the instructions for installing the RDF extension for Open Reļ¬ne -- which, by the way, I think this is
great and I want more things like it. These are the LONG instructions, mind you -- thereās a shorter set on the
main page.
*CLICK* Thereās a major error in these; you canāt actually get to the workspace directory from the Open Reļ¬ne
start page, because the start page starts on the Create tab, not the Open tab. I ļ¬atter myself Iām pretty tech-savvy,
but I had to click around and swear a bit before I ļ¬gured out what these instructions were getting at.
30. So I wrote my own installation instructions, that seemed to work pretty well. Youāre welcome. PLEASE donāt make
me do this again. Wrong installation instructions are just NOT SOYLENT. And this installation method? Is ridiculous
on its face. Not soylent at all.
If there are better tools -- tools that help me... help my learners... get ACTUAL LIBRARY WORK DONE with linked
data, I do not know what they are. Iām not sure they even EXIST. And thatās a gigantic problem for me as an
educator, and ultimately itās a gigantic problem for you and for linked data. If I fail at my job, you know what
happens.
33. Rob Boudon, āJamie Lyon - YAY WOWā CC-BY
http://www.flickr.com/photos/robboudon/6052727720/
Soylent technologies, technologies that are so respectful of people that people jump for joy about using them,
HELP THOSE PEOPLE GET STUFF DONE. Itās as simple as that. And this needs to be true for people who are NOT
linked data nerds and NOT programmers.
Look, fundamentally, this is the same reason programmers hate MARC! MARC gets in the way of programmers
getting useful work done, right? But if linked data puts every other librarian on earth in the position that library
programmers are currently in? Thatās not going to help linked-data adoption in libraries.
34. NEGATIVE
PATH
DEPENDENCE
Colby Stopa, āPathā CC-BY
http://www.flickr.com/photos/photographybycolby/10169675563/
So to sum up here... because I canāt educate people well, and because the tools are so bad, and because
practically nobody can actually get library work done with linked data, linked data is stuck *CLICK* in what Iāve
seen called NEGATIVE PATH DEPENDENCE. Whatās negative path dependence? I quote from a recent report on data
sharing: āBecause of high switching costs, inferior technologies can become so dominant that even superior
technologies cannot surpass them in the marketplace.ā Sounds like XML in publishing, right, compared to PDF?
Sounds like institutional repositories against journals, right?
Iām afraid it sounds like linked data against MARC, too. Meaning no disrespect at all to the great Henriette Avram,
MARC is the inferior technology here! I really believe that! But linked data, despite its superiority, canāt get library
work done at this point without ridiculous costs, so it canāt replace MARC.
But. It doesnāt have to be this way. This I also believe.
35. FOUR HCHALLENGES-WEB
T SEM
OYLEN
ES
FOR T
So Iāll close with four challenges for the Soylent Semantic Web, the Semantic Web that is made of librarians and
other people. I hope -- and I believe! -- that presenters at this conference will answer these challenges, and I look
forward to seeing that... and I also hope that all of you take these challenges home and work on them.
36. Challenge #1:
WORK, NOT
ONTOLOGIES
for linked data
Here is my linked-data heresy. Feel free to turn me into hamburger for it later: I donāt CARE about your ontology. I
donāt care about ANYBODYās ontology, or data model, or graph, or whatever. I. Do not. CARE. Why should I? Weāve
done library work without ontologies and picture-perfect data models for hundreds of years. Somehow or other.
Can we just get off ontologies already?
What I care about? I care about the WORK I can do with linked data, and the work librarians can do with linked
data, and the work my learners can do with linked data. I care about the tools that help them do that work. I care
about the work skills I can realistically teach my learners that someone will pay them for -- and before you say
anything, āknowing an ontologyā is NOT something employers are gonna pay for!
So I donāt need ontologies. I need well-documented linked-data tools that I can use and teach. I need linked-data
workļ¬ows, based on real-world problems and real-world solutions, that I can demonstrate and imitate. I need
linked-data systems that do REAL LIBRARY WORK, right out of the box. And very little of this exists today, because
too much of the linked-data community is off in corners having arcane discussions about OWL same-as and H-TT-P range fourteen. Just like XML namespaces back in the day! And Iām saying, STOP THAT. Before you write ONE
MORE LINE of OWL or R-D-F Schema, write code that lets real live people do real-world work with linked data.
37. Challenge #2:
ITāS ABOUT
ITāSNOT ABOUT
WHAT YOU CAN DO
WHAT I CAN DO
with linked data
When I was running institutional repositories, I went to conferences about them, as ya do. And at those
conferences I saw a LOT of demos of new and innovative software hacks. And a lot of those demos were
absolutely amazing -- but they were completely irrelevant to me, because they were impossible to implement in
my environment. So I challenge everyone here, because you are all experts already, to stop thinking about what
YOU can do with linked data *CLICK* and instead think about what *I* can do with linked data.
And what my learners can do. And what catalogers and metadata librarians and digital-library managers and
institutional-repository managers and reference librarians can do! Because if YOU are the only one who can do
what you do with linked data, librarianship writ large will NEVER be able to do it. And if you think this is a stealth
demand for better tool usability, youāre absolutely right, it is! But thatās not all it is.
This means that you need to learn about what I do, and what I CAN do. And what catalogers and metadata
librarians and all the rest of us do, right? Maybe actually watching us do it? Maybe doing some of it yourselves?
Yeah. So I challenge you to be curious about my work environment, as an educator. And catalogersā work
environments. And digital-library work environments. Find out about those, ļ¬rsthand, and use what you learn to
build linked-data systems that all librarians and libraries beneļ¬t from.
38. Challenge #3:
WOW
WOW ME!
LIBRARIANSHIP
with linked data
My third challenge, and Iām quite hopeful about this one, actually -- make me say WOW! about something you did
with linked data. *CLICK* And why stop at me? I challenge you to wow all of librarianship with linked data!
39. Some of you may remember the rollout of the Endeca-based library catalog at North Carolina State University in
the mid-two-thousands. For those of you who donāt recall, it was this ONE CATALOG that started the whole
discovery-layer movement. And what I remember most about that was that the new catalog got basically zero
pushback from librarianship generally. Even though it was a HUGE change where youād normally expect a lot of
negative path dependence to kick in.
Instead, everybody said WOW. Wow, I want that! Wow, look, facets for narrowing searches! Wow, check it out, you
can actually start a query by drilling down through subject headings! Wow, de-duplicated records! Wow, relevance
ranking! It was just a giant leap forward from what we had. Forget negative path dependence, people wanted this
functionality NOW.
I challenge you to make something for libraries with linked data that has as much wow as that original Endeca
catalog did. So much wow that nobody even argues about linked data because everybody wants what it can do.
41. w.marsh, āold shelby park libraryā CC-BY
http://www.flickr.com/photos/40943981@N00/3185725324/
Last summer I taught another continuing-education course for public librarians, about acquiring books from
independent publishers and people who self-publish. And one of my learners, who is a public librarian in a smalltown public library like the one Iām showing here -- she said a very sad thing. There was NO WAY her library
would be able to buy indie or self-published books, not print and not electronic. Just no way. Why not, I asked?
Because there are only two employees at that library, she said, so they canāt do ANY original cataloging!
That librarian and her little tiny two-person library? Theyāre what disruption theory calls an āunderserved market.ā
MARC is no good for her -- itās too complicated and too expensive. If you can make a simple linked-data system
thatās cheaper and easier and more convenient for her, and lets her put in all the books she wants, including indie
books, and lets her patrons ļ¬nd all the books they want, SHE WILL USE IT. And so will a LOT of little tiny libraries
that just canāt do MARC. And if linked data is so easy and so great that little tiny libraries with two employees use
it, whatās everybody elseās excuse, right? If linked data starts small, it can take over the world from MARC! I really
believe this!
42. Library linked data
FOR GREA JUS
T
TICE
So if you say linked data is so much better than MARC, Iām saying prove it, for great justice!
Okay, okay, last nerd joke, I promise. But the serious point behind the joke is that there really is a social justice
issue here! Linked data shouldnāt be something that only helps big libraries and their librarians. Letās build small
ļ¬rst, and build up from there, and then we can help ALL libraries, all librarians, and ALL library patrons.
I think a linked-data catalog... that small libraries and their librarians can actually USE, and is demonstrably better
than what they have... can be built. Right now, today, it can be built. I challenge you to build it, for great justice -including justice within librarianship for linked data.
43. Vielen dank!
Dorothea Salo
salo@wisc.edu
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So once again, thanks for having me, and I look forward to the rest of the conference!