This document discusses a two-phase approach to introducing linked data from WorldCat records. Phase 1 involves mining existing MARC records to identify entities like persons, organizations, and subjects, and linking those strings to controlled vocabularies. Phase 2 models the data using schemas like Schema.org that are of interest to the web in order to share resources via linked data. The goal is to draw people to library resources by sharing in a web-native linked data format.
They have left the building: The Web Route to Library UsersRichard Wallis
Keynote Presentation to the ACOC Seminar in Melbourne Australia 1st November 2013.
Reviewing how libraries need to look towards using Linked Data techniques and general vocabularies, such as Schema.org, to share their data with the wider web - helping the search engines to guide users back to library collections.
Brief introduction to HTML5 Microdata and Schema.org for libraries, archives, and museums. See my article in the Code4Lib Journal http://journal.code4lib.org/articles/6400
It19 20140721 linked data personal perspectiveJanifer Gatenby
A presentation made for Standards Australia's seminar. Outlines the basic aspects of linked data from a personal perspective and where it fits with direct and subject searching.
Linked Data: from Library Entities to the Web of DataRichard Wallis
Presentation to the ALCTS session "International Developments in Library Linked Data: Think Globally" at the American Library Association Conference in Las Vegas - June 2014
They have left the building: The Web Route to Library UsersRichard Wallis
Keynote Presentation to the ACOC Seminar in Melbourne Australia 1st November 2013.
Reviewing how libraries need to look towards using Linked Data techniques and general vocabularies, such as Schema.org, to share their data with the wider web - helping the search engines to guide users back to library collections.
Brief introduction to HTML5 Microdata and Schema.org for libraries, archives, and museums. See my article in the Code4Lib Journal http://journal.code4lib.org/articles/6400
It19 20140721 linked data personal perspectiveJanifer Gatenby
A presentation made for Standards Australia's seminar. Outlines the basic aspects of linked data from a personal perspective and where it fits with direct and subject searching.
Linked Data: from Library Entities to the Web of DataRichard Wallis
Presentation to the ALCTS session "International Developments in Library Linked Data: Think Globally" at the American Library Association Conference in Las Vegas - June 2014
Presentation to SWIB23 in Berlin.
The journey to implement a production Linked Data Management and Discovery System for the National Library Board of Singapore.
IWMW 2003: Semantic Web Technologies for UK HE and FE Institutions (Part 2)IWMW
Slides for plenary talk on "Semantic Web Technologies for UK HE and FE Institutions" given by Dave Beckett and Brian Kelly at the IWMW 2003 event held at the University of Kent on 11-13 June 2003.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2003/sessions/#talk-5
Librarian use of authority files dates back to Callimachus and the Great Library of Alexandria around 300 BC. With the evolution of powerful computerized searching and retrieval systems, authority data appears to some to have outlived its usefulness. However, the Semantic Web provides an opportunity to use authority data to enable computers to search, aggregate, and combine information on the Web. Join this webinar to learn about the amazing services that can result when the rich data included in name authority files, and other standardized vocabularies are linked via the Semantic Web.
Does your performing arts organization need help getting found online? Are you maximizing the digital opportunities for connecting with your potential audience and ticket purchasers? Get an overview of the ways digital marketing can help with this goal, with a deeper dive into search and recommendation engines and the opportunity presented by Wikidata.
This presentation was developed and delivered as part of the Linked Digital future Initiative. For more information, visit: https://linkeddigitalfuture.ca/resources/workshops/
TPDL2013 tutorial linked data for digital libraries 2013-10-22jodischneider
Tutorial on Linked Data for Digital Libraries, given by me, Uldis Bojars, and Nuno Lopes in Valletta, Malta at TPDL2013 on 2013-10-22.
http://tpdl2013.upatras.gr/tut-lddl.php
This half-day tutorial is aimed at academics and practitioners interested in creating and using Library Linked Data. Linked Data has been embraced as the way to bring complex information onto the Web, enabling discoverability while maintaining the richness of the original data. This tutorial will offer participants an overview of how digital libraries are already using Linked Data, followed by a more detailed exploration of how to publish, discover and consume Linked Data. The practical part of the tutorial will include hands-on exercises in working with Linked Data and will be based on two main case studies: (1) linked authority data and VIAF; (2) place name information as Linked Data.
For practitioners, this tutorial provides a greater understanding of what Linked Data is, and how to prepare digital library materials for conversion to Linked Data. For researchers, this tutorial updates the state of the art in digital libraries, while remaining accessible to those learning Linked
Data principles for the first time. For library and iSchool instructors, the tutorial provides a valuable introduction to an area of growing interest for information organization curricula. For digital library project managers, this tutorial provides a deeper understanding of the principles of Linked Data, which is needed for bespoke projects that involve data mapping and the reuse of existing metadata models.
Feb 19, 2014: NISO Virtual Conference: The Semantic Web Coming of Age: Technologies and Implementations
Deck includes presentations from:
Ramanathan V. Guha, Google Fellow; Founder of Schema.org; Pierre-Paul Lemyre, Director of Business Development, Lexum; Bob Du Charme, Director of Digital Media Solutions, TopQuadrant
The explosion in growth of the Web of Linked Data has provided, for the first time, a plethora of information in disparate locations, yet bound together by machine-readable, semantically typed relations. Utilisation of the Web of Data has been, until now, restricted to the members of the community, eating their own dogfood, so to speak. To the regular web user browsing Facebook and watching YouTube, this utility is yet to be realised. The primary factor inhibiting uptake is the usability of the Web of Data, where users are required to have prior knowledge of elements from the Semantic Web technology stack. Our solution to this problem is to hide the stack, allowing end users to browse the Web of Data, explore the information it contains, discover knowledge, and use Linked Data. We propose a template-based visualisation approach where information attributed to a given resource is rendered according to the rdf:type of the instance.
The Power of Sharing Linked Data - ELAG 2014 WorkshopRichard Wallis
Presentation to set the scene and stimulate discussion in the Workshop "The Power of Sharing Linked Data" at ELAG 2014 - Bath University, UK June 10/11 2014
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
3. Representing the collective collection
in WorldCat Discovery and WorldCat.org
322+ million
bibliographic records
2+ billion holdings
980million records
38 million items
(Institutional repositories,
Google, HathiTrust, OAIster)
Bibliographic
information in
WorldCat
Licensed digital
content/articles in
library collections
Digitized
local library content
As of 11 June 2013
8. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
9. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
10. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
11. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
12. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
13. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
14. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
in
search
engines
15. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
16. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
• Linked
Data
17. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
18. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
19. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
20. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
21. Structured
Data
Objectives
• Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
• Widely
adopted
&
understood
–
15%
of
web
sites
22. • Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
obvious
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
• Widely
adopted
&
understood
–
15%
of
web
sites
fairly
y
23. • Linking
with
hubs
of
authority
on
the
web
• viaf.org
–
persons
• Library
of
congress
–
subjects,
etc
• Dewey.info
–
classifications
• Dbpedia
–
most
things
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
obvious
Conclusions
in
search
engines
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
• Backed
and
recognized
by
Google,
Bing,
Yahoo!,
Yandex
• Widely
adopted
&
understood
–
15%
of
web
sites
fairly
y
27. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
28. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
29. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
30. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
31. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
32. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
33. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
34. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
35. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
36. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
37. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
38. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
39. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
• Schema.org
40. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
• Schema.org
Phase
3
41. Introducing
Linked
Data
Phase
1
• First
mine
the
data
• Records
held
in
Marc
• Identify
the
entities
• Person,
Organization,
CreativeWork,
etc.
• Match
strings
to
things
• People/Organization
names
–
viaf.org,
etc
• Subjects
–
Library
of
Congress
Phase
2
• Model
what
is
of
interest
to
the
Web
• All
our
data
is
important
to
us
• What
will
draw
people
to
our
resources?
• Share
the
way
the
web
does
• Linked
Data
• Schema.org
Phase
3 -‐
Try
it
out!
50. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
51. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
52. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
53. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
54. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
http://lists.w3.org/Archives/Public/public-‐vocabs
http://www.w3.org/wiki/WebSchemas
55. What
to
do
about
Gaps
in
Schema.org
coverage
Lobby
them
for
updates
/
extensions
http://lists.w3.org/Archives/Public/public-‐vocabs
http://www.w3.org/wiki/WebSchemas
…
or
form
a
group
to
do
it
56. What
to
do
about
Gaps
in
Schema.org
coverage
…
or
form
a
group
to
do
it
64. I’ll
create
my
own
vocabulary
But doesn’t that loose all the
benefits of Schema?
65. I’ll
create
my
own
vocabulary
But doesn’t that loose all the
benefits of Schema?
Not
if
it
is
an
extension
vocabulary
??
Just
add
your
terms
with
Schema
at
the
core
66. I’ll
create
my
own
vocabulary
But doesn’t that loose all the
benefits of Schema?
Not
if
it
is
an
extension
vocabulary
Just
add
your
terms
with
Schema
at
the
core Like frosting
on a cake?
74. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
75. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
76. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
77. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
78. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
• Minimal
namespaces
79. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
• Minimal
namespaces
• Eases
adoption
80. Extension
Vocabulary
• Adds
your
domain
specifics
• Mostly
Schema.org
• Only
need
to
fill
in
the
gaps
• Search
engines
will
understand
most
• Familiar
• Eases
adoption
• Minimal
namespaces
• Eases
adoption
• Repeatable
pattern
90. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
91. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
• my
domain
92. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
• my
domain
• the
rest
of
the
world
-‐
mostly
93. @prefix
schema:
<http://schema.org/>
@prefix
bgn:
<http://bibliograph.net/>
!!!!!
• Not
as
good
as
a
single
namespace
• But
next
best
thing
and
understandable
by:
• my
domain
• the
rest
of
the
world
-‐
mostly
96. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
97. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
98. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
99. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
100. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
101. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
102. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
103. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
• complementary
[rest
of
the
world
friendly]
104. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
• complementary
[rest
of
the
world
friendly]
An
extension
to
Schema.org…
105. An
extension
to
Schema.org…
• to
fill
in
some
[temporary
?]
domain
specific
gaps
• light
weight
access
to
rich
data
• domain
specific
extensions
in
single
namespace
• currently
used
by
VIAF
and
WorldCat
linked
data
An
extension
to
Schema.org…
• not
a
standalone
vocabulary
–
needs
Schema.org
• not
a
replacement
for
rich
domain
specific
vocab(s)
• complementary
[rest
of
the
world
friendly]
An
extension
to
Schema.org…
• an
example
of
how
others
might
do
it.
107. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
108. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
2012
–
using
Schema.org
109. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
2012
2013
110. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
2012
2013
111. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
2012
2013
112. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
2012
2013
113. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2013
2014
114. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2013
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
115. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
2013
116. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢New
Services
2013
2016
117. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
118. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
119. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
120. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
121. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
122. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
123. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
124. OCLC
Entity
Based
Data
Strategy
✓ VIAF,
ISNI,
FAST
Publish
Linked
Data
✓ WorldCat.org
Linked
Data
Release
–
using
Schema.org
✓ Internal
agreement
on
data
strategy
✓ Evangelism
✓ Research
&
Design
with
Data
Architecture
Group
✓ Data
mining
of
WorldCat
resources
✓ WorldCat
Works
Released
2012
2014
➢Application
Integration
➢WorldCat
Discovery
➢Analytics
➢Discovery
API
➢Cataloging
2015
➢More
Entities
Released
➢Person
➢Organization
➢Event
➢Concept
➢New
Products
➢Continuing
Evangelism
➢New
Services
➢Continuing
Innovation
2013
2016
125. Structured
Data
Objectives
obvious
Conclusions
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
+
BiblioGraph.net
• Core
widely
adopted
&
understood
–
15%
of
web
sites
fairly
y
126. Structured
Data
Objectives
obvious
Conclusions
• Linked
Data
• RDF
–
RDFa,
RDF/XML,
JSON-‐LD,
Turtle,
nTriples
• Canonical
URIs
• Schema.org
+
BiblioGraph.net
• Core
widely
adopted
&
understood
–
15%
of
web
sites
fairly
y
Your
• Widely
distributed
&
understood
• Web
standard
data
access
patterns
• Common
vocabularies
on
the
web
• Visibility
in
search
engines