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Designing the Garden: Getting
Grounded in Linked Data
#rwlod
Jenn Riley (@jenlrile)
Associate Dean, Digital Initiatives
McGill University
"Full fathom five thy father lies,
Of his bones are coral made,
Those are pearls that were his eyes,
Nothing of him that doth fade,
But doth suffer a sea-change,
into something rich and strange,
Sea-nymphs hourly ring his knell,
Ding-dong.
Hark! now I hear them, ding-dong, bell.”
--Shakespeare, The Tempest
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
Photo by Liam Moloney, https://flic.kr/p/7Qux27, CC BY-SA
1. It’s not “our” data and “their”
data – it’s one big graph.
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
It’s about the connections
https://linkedjazz.org/network/
Graph-based world views
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
http://ebiquity.umbc.edu/blogger/2015/06/06/querying-rdf-data-with-text-annotated-graphs/
Connecting things together
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
dbpedia:Willia
m_Shakespeare
1615-04-23
1564-04-26
dbpedia:Str
atford-
upon-Avon
dbpedia-owl:
birthDate
worldcat-
work:10745266
81
fast:1069678
# Political
Refugees
“Tragicomedy’
“Shakespeare’s
Comedy of the
Tempest”
schema:
genre
viaf:9699404
8
# William
Shakespeare
foaf:person
rdf:
type
schema:
CreativeWork
rdf:
type
 Creating so much data!
 Where the scope of “library data” ends
 What it is and isn’t “our job” to do
 Making “complete” descriptions ourselves
 Mapping data from “other” vocabularies into “library”
vocabularies
This means we can stop worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Learning other metadata cultures
 Being Linked Data ecosystem good citizens
 How the technology and the data can most effectively work
together
 Making connections between things
 Understanding other vocabularies and communities
And start worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
2. We can expect more
intelligence in the system.
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
http://hangingtogether.org/?p=4167; September 2014
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
Guido Reni (1575-1642)
Hercules Killing the Hydra of Lerna
c. 1620-1621
oil on canvas
commissioned along with other
scenes from the mythology of
Hercules in 1617 by Ferdinando
Gonzaga, for a room in the Villa
Favorita in Mantua, Italy inv. 535
Musée du Louvre, Paris, France
 Mine usage data to enhance relevance and utility in discovery
 Start from the most relevant information and provide easy
means for quick expansion on demand
 Coherently display conflicting information
 Give indications of provenance of information
What systems must do for users
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
If we’re serious about
information literacy, we have to
give our users tools and then
trust them.
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Flag dead ends for review and action
 Normalize most string-based data
 Highlight potentially conflicting information
 Hide complexity (URIs, etc)
 Mine and show candidate connections for review
What systems must do for metadata maintainers
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Choosing one authoritative “correct” assertion in the face of
conflicting data
 Whether or not a given source meets a certain standard for
authority
 Authorized headings, access points
 And textual justifications for them
 A large proportion of the data cleanup tasks we used to do
 For example, the formatting of strings
 But we can expect a new set of these to emerge!
This means we can stop worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 How to enhance system algorithms
 How users best interact with complicated information
 Methods for automated metadata creation and cleanup
 Getting large amounts of new data into the system
And start worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
3. The information age has provided
a new definition of “authority.”
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Current narrative:
 Libraries create good
metadata!
 Because we’re trained to do so
 We’re consistent and follow
rules
 That’s what makes good data
 Other people create bad data
 Because it’s not consistent
 Using a well built record
structure is a key part of good
metadata
 But…
 We don’t read the books we
catalogue
 We don’t typically have expertise in
the subjects of the works we
describe
 Sometimes we don’t even read or
speak the language those works use
 Our perspective is pretty different
from our users’
 Number of things to describe is
quickly expanding and our budgets
are shrinking
Let’s take a good, hard look at our “authoritative” data
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Remember, we’re looking at more intelligent systems in the LD
world
 That can deal with inconsistency, masking it or cleaning it up
 The LD graph allows us to not worry about metadata structures
 So consistency and rules are no longer the primary drivers of
good metadata
 Which means we can turn large swaths of the creation of
metadata over to domain experts
Wait, it’s not about consistency and rules?
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
https://www.digitalcommonwealt
h.org/search/commonwealth:5h7
3q9544
If we’re serious about good
metadata, we need to start from
expert information.
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
We need this guy
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
http://www.betterlivingthroughbeowulf.com/scholars-lose-themselves-in-their-research/
And we need these folks too!
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
Photo by veggiesosage, https://flic.kr/p/5WjAsK, CC-BY-NC-ND
Really, it’s going to be OK
https://xkcd.com/386/
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
The Linked Data community cares about provenance
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
http://www.w3.org/standards/techs/provenance#w3c_all
 Deep research on materials for which there’s already a
knowledgeable community
 Descriptions being “complete”
 Making sure everything is “right”
This means we can stop worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Mining the data that’s already out there
 Promoting voices of those who engage with content
 How usable systems can be built to generate Linked Data from
activities real people already partake in
 Seeding basic information for the rare and unique materials we
hold that have never been released
 Connecting data from communities operating in different
languages
And start worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
4. Our job is to tend the garden.
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
Metadata is an ecosystem
Photo by Temari 09, https://flic.kr/p/6UskT1, CC-BY-NC
The garden needs tending
Photo by Center for International Forestry Research, https://flic.kr/p/dbx1Gt,CC-BY-NC-ND
A new model – making connections
https://thenounproject.com/term/connection/25392/
 “Original cataloguing” and “copy cataloguing”
 Getting data into “our systems”
 Doing all the work that needs to be done the first time we think
about a specific item
This means we can stop worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 Understanding the Linked Data environment
 Locating large and useful datasets
 Understanding vocabularies developed elsewhere
 Finding good people that can analyze relationships and make
new connections
And start worrying about…
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 The data and systems are all in the cloud
 Library-based discovery less important but likely still around for a
while
 Several ways systems can navigate the graph
 Crawling
 Dereferencing
 Query federation
 (See http://linkeddatabook.com/editions/1.0/#htoc84)
So how will Linked Data systems work?
 This is all the way it should work
 It’s going to be a while before we get there
 Big effort needed to start connecting up these data sets
 Data sets and tools will get better as we start using the data in
this way and demand more
 The library community can help to shape this evolution, but only
if we fully understand and engage with the assumptions and
mechanisms in play in the Linked Data community
Reality check
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
 This will be hard. But that won’t stop us.
 We need to redefine our baseline.
 We need to rethink what new models mean for us.
 And, most importantly, we need to put the right people in
positions to work through these issues and get the details
settled.
A sea-change? Most definitely.
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015
We got this.
 jenn.riley@mcgill.ca
 @jenlrile
 These presentation slides:
http://www.jennriley.com/presentations/alaannual2015/riley-
garden.pptx
Thank you!
#rwlod Beyond the Looking Glass, ALCTS Preconference 2015

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Tending the Metadata Garden: Our Role in a Linked Data Ecosystem

  • 1. Designing the Garden: Getting Grounded in Linked Data #rwlod Jenn Riley (@jenlrile) Associate Dean, Digital Initiatives McGill University
  • 2. "Full fathom five thy father lies, Of his bones are coral made, Those are pearls that were his eyes, Nothing of him that doth fade, But doth suffer a sea-change, into something rich and strange, Sea-nymphs hourly ring his knell, Ding-dong. Hark! now I hear them, ding-dong, bell.” --Shakespeare, The Tempest #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 3. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 Photo by Liam Moloney, https://flic.kr/p/7Qux27, CC BY-SA
  • 4. 1. It’s not “our” data and “their” data – it’s one big graph. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 5. It’s about the connections https://linkedjazz.org/network/
  • 6. Graph-based world views #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 http://ebiquity.umbc.edu/blogger/2015/06/06/querying-rdf-data-with-text-annotated-graphs/
  • 7. Connecting things together #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 dbpedia:Willia m_Shakespeare 1615-04-23 1564-04-26 dbpedia:Str atford- upon-Avon dbpedia-owl: birthDate worldcat- work:10745266 81 fast:1069678 # Political Refugees “Tragicomedy’ “Shakespeare’s Comedy of the Tempest” schema: genre viaf:9699404 8 # William Shakespeare foaf:person rdf: type schema: CreativeWork rdf: type
  • 8.  Creating so much data!  Where the scope of “library data” ends  What it is and isn’t “our job” to do  Making “complete” descriptions ourselves  Mapping data from “other” vocabularies into “library” vocabularies This means we can stop worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 9.  Learning other metadata cultures  Being Linked Data ecosystem good citizens  How the technology and the data can most effectively work together  Making connections between things  Understanding other vocabularies and communities And start worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 10. 2. We can expect more intelligence in the system. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 12. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 Guido Reni (1575-1642) Hercules Killing the Hydra of Lerna c. 1620-1621 oil on canvas commissioned along with other scenes from the mythology of Hercules in 1617 by Ferdinando Gonzaga, for a room in the Villa Favorita in Mantua, Italy inv. 535 Musée du Louvre, Paris, France
  • 13.  Mine usage data to enhance relevance and utility in discovery  Start from the most relevant information and provide easy means for quick expansion on demand  Coherently display conflicting information  Give indications of provenance of information What systems must do for users #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 14. If we’re serious about information literacy, we have to give our users tools and then trust them. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 15.  Flag dead ends for review and action  Normalize most string-based data  Highlight potentially conflicting information  Hide complexity (URIs, etc)  Mine and show candidate connections for review What systems must do for metadata maintainers #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 16.  Choosing one authoritative “correct” assertion in the face of conflicting data  Whether or not a given source meets a certain standard for authority  Authorized headings, access points  And textual justifications for them  A large proportion of the data cleanup tasks we used to do  For example, the formatting of strings  But we can expect a new set of these to emerge! This means we can stop worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 17.  How to enhance system algorithms  How users best interact with complicated information  Methods for automated metadata creation and cleanup  Getting large amounts of new data into the system And start worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 18. 3. The information age has provided a new definition of “authority.” #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 19.  Current narrative:  Libraries create good metadata!  Because we’re trained to do so  We’re consistent and follow rules  That’s what makes good data  Other people create bad data  Because it’s not consistent  Using a well built record structure is a key part of good metadata  But…  We don’t read the books we catalogue  We don’t typically have expertise in the subjects of the works we describe  Sometimes we don’t even read or speak the language those works use  Our perspective is pretty different from our users’  Number of things to describe is quickly expanding and our budgets are shrinking Let’s take a good, hard look at our “authoritative” data #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 20.  Remember, we’re looking at more intelligent systems in the LD world  That can deal with inconsistency, masking it or cleaning it up  The LD graph allows us to not worry about metadata structures  So consistency and rules are no longer the primary drivers of good metadata  Which means we can turn large swaths of the creation of metadata over to domain experts Wait, it’s not about consistency and rules? #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 21. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 https://www.digitalcommonwealt h.org/search/commonwealth:5h7 3q9544
  • 22. If we’re serious about good metadata, we need to start from expert information. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 23. We need this guy #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 http://www.betterlivingthroughbeowulf.com/scholars-lose-themselves-in-their-research/
  • 24. And we need these folks too! #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 Photo by veggiesosage, https://flic.kr/p/5WjAsK, CC-BY-NC-ND
  • 25. Really, it’s going to be OK https://xkcd.com/386/ #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 26. The Linked Data community cares about provenance #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 http://www.w3.org/standards/techs/provenance#w3c_all
  • 27.  Deep research on materials for which there’s already a knowledgeable community  Descriptions being “complete”  Making sure everything is “right” This means we can stop worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 28.  Mining the data that’s already out there  Promoting voices of those who engage with content  How usable systems can be built to generate Linked Data from activities real people already partake in  Seeding basic information for the rare and unique materials we hold that have never been released  Connecting data from communities operating in different languages And start worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 29. 4. Our job is to tend the garden. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 30. Metadata is an ecosystem Photo by Temari 09, https://flic.kr/p/6UskT1, CC-BY-NC
  • 31. The garden needs tending Photo by Center for International Forestry Research, https://flic.kr/p/dbx1Gt,CC-BY-NC-ND
  • 32. A new model – making connections https://thenounproject.com/term/connection/25392/
  • 33.  “Original cataloguing” and “copy cataloguing”  Getting data into “our systems”  Doing all the work that needs to be done the first time we think about a specific item This means we can stop worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 34.  Understanding the Linked Data environment  Locating large and useful datasets  Understanding vocabularies developed elsewhere  Finding good people that can analyze relationships and make new connections And start worrying about… #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 35.  The data and systems are all in the cloud  Library-based discovery less important but likely still around for a while  Several ways systems can navigate the graph  Crawling  Dereferencing  Query federation  (See http://linkeddatabook.com/editions/1.0/#htoc84) So how will Linked Data systems work?
  • 36.  This is all the way it should work  It’s going to be a while before we get there  Big effort needed to start connecting up these data sets  Data sets and tools will get better as we start using the data in this way and demand more  The library community can help to shape this evolution, but only if we fully understand and engage with the assumptions and mechanisms in play in the Linked Data community Reality check #rwlod Beyond the Looking Glass, ALCTS Preconference 2015
  • 37.  This will be hard. But that won’t stop us.  We need to redefine our baseline.  We need to rethink what new models mean for us.  And, most importantly, we need to put the right people in positions to work through these issues and get the details settled. A sea-change? Most definitely. #rwlod Beyond the Looking Glass, ALCTS Preconference 2015 We got this.
  • 38.  jenn.riley@mcgill.ca  @jenlrile  These presentation slides: http://www.jennriley.com/presentations/alaannual2015/riley- garden.pptx Thank you! #rwlod Beyond the Looking Glass, ALCTS Preconference 2015

Notes de l'éditeur

  1. Spirit sings this song to Ferdinand (Prince of Naples) when he believes his father Alonso is drowned. To me, this means: A recognized shift to something new Guidance through the transition process Comfort w change Respect for the previous iteration (grounded) This is what we’re facing with LD We’ve learned a ton over the last 50 years (and more!) Now what we’ve learned is turning into something else We need comfort and support through this process We can mourn, but we must move forward Note there’s an ecosystem note here too which I’ll cycle back to Another interesting parallel – the MARC is dead meme. I’ll note that Alonso (the father) is not actually dead at this point in the story Analogies only go so far – don’t let that derail the need to manage change!
  2. We are in the midst of a sea change Our community is redefining itself It needs both technologists and metadata specialists And people who can get past the HOW to the WHY and WHAT and redesign new HOWs that fit internet-age information models I’m going to lay out 4 different fundamental changes that we’re facing in how library metadata operates And speculate a bit on what each means for us
  3. The value in LD is bringing together data from different sources LD model inherently doesn’t care where the data comes from And not just one type of data People, books, journal articles, relationships, events, facts This is what the metadata universe is starting to look like Not just bibliographic information but everything anyone would want to know Why shouldn’t the library catalogue be an encyclopedia?
  4. We learn about triples but LD is really about the graph The big shift = we’re not describing resources, we’re helping all the right connections be made Discovery tools as entry points into the graph Facilitate exploration from known points A search as a way to get suggestions for useful entry points Which causes some rethinking about the role of library-based discovery interfaces Why can’t our holdings just be hooked to information navigation/discovery tools? We can’t replicate google But we also can’t assume google is the only game in town So the strategy must be: Expose holdings (data we uniquely have) Participate in description but don’t own it
  5. This is how this works in practice Lots of data sources The graph is built when connections are made between them Note we’re not being really pedantic about work/manifestation in this example, or the genre as an entity rather than a string; still a lot of modeling to do
  6. More on this at the end of the presentation
  7. These are astonishing numbers Need maintenance/caretaking But also a different way of thinking Can’t manually manage Have to let the ecosystem (technology) keep things going, only intervene at key points Be pragmatic, can’t lovingly curate as we did This volume helps us get over Not Invented Here
  8. If we were to try to manage this volume of data using our current mindsets and approaches, we’d be like Hercules facing the Hydra Note here again the analogy only goes so far – Hercules did eventually defeat the Hydra. But we’re not Hercules, and we want information to thrive, not die.
  9. Theme: we don’t decide beforehand, we provide data and systems that let people decide There really is a wisdom in the crowd We can not predict what a user is going to care about The long tail is as powerful as the most important stuff Kathleen Fitzpatrick –Director of SC, MLA and english/media studies Ph.D. and scholar, author of Planned Obsolescence: Publishing, Technology, and the Future of the Academy -need filters, not gatekeepers With this much data it’s not possible for libraries to pay people to serve a gatekeeping function Or to only let in what we review first Therefore we need systems to do that for us And we don’t have to build them ourselves, this is an internet-wide problem
  10. And by them, I mean both the users and the tools. The “we know best” attitude has to go.
  11. For the metadata maintenance we will do (more on this in a minute) Volume of data makes this necessary Data normalization – turn strings into URIs Lots of system intelligence suggesting the things that do need human expertise Don’t have to interact directly with the data model for all things No: typing/verifying uri’s sorting out namespaces worrying about RDF syntax
  12. Data cleanup not needed - Date formats
  13. Note large amounts of new data requires automated means, not manual metadata creation
  14. This is all the metadata the BPL could provide for this image Train people know better. We MUST leverage them
  15. And by them, I mean both the users and the tools. The “we know best” attitude has to go.
  16. We can tap into scholars, established researchers But think about the bitter fights they get into How authoritative are they, really?
  17. Go to the crowd The enthusiasts The hobbyists They’re already producing data And can be incentivized to produce more Just look at ebay And online forums Flickr reddit We need to locate the info they already produce And tap into the tools they use
  18. Metadata creation and maintenance as gardening Lots of variety Needs upkeep But never perfect Things are introduced, grow, and die Gardener as an overseer not a creator Sun, soil, rain all occur out of our control – the system does a lot to maintain itself We just poke at it from time to time
  19. Metadata creation when none already exists Take seeds from elsewhere (do basic research, create new data – think author research, not necessarily subject analysis) Give them some TLC and get them into the ground They grow, change, interact with the environment and give rise to new things
  20. This is the most important part You’re creating hybrids Merging things to make new things that others will continue to build on Not “is this good enough” but “how can this be most useful?” You’re enhancing the graph Eg sameAs for both classes and properties Find and connect good sources of topical/analytical data Find good vocabularies and integrate them into library managed and external vocabularies And flagging/processing/marking importance of data for use in library run discovery Poke a bit to make things more machine readable (Eg make a template to parse some data) Cataloguers as part of LD world, not just library world
  21. Remember – it’s not about describing resources, it’s about making connections
  22. Some will say we should provide evaluative information on sources But there are too many for us to do so
  23. Distinction between local and external data minimized or gone No local copies of records that we edit directly To the degree libraries run discovery systems will need design and effective use of data But we can’t write all this intelligence ourselves Will utilize software written elsewhere Patterns: Crawling -> local index (all automated – doesn’t get out of sync easily!) Dereferencing – on the fly go grab a URI to learn about it; can be slow Query federation – complex queries to predetermined data sources This is going to get better
  24. Saying ‘you should do it our way’ isn’t going to work Look at the oclc data – start at worldcat See the current state, but also see the possibilities