These are the Linked Data Applications slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010.
This slide set was not part of our tutorial that was presented at ISWC2009
Consuming Linked Data by Machines - WWW2010Juan Sequeda
These are the Consuming Linked Data by Machines slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010. These slides are originally by Patrick Sinclair from BBC
These are the Linked Data Applications slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010.
This slide set was not part of our tutorial that was presented at ISWC2009
Consuming Linked Data by Machines - WWW2010Juan Sequeda
These are the Consuming Linked Data by Machines slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010. These slides are originally by Patrick Sinclair from BBC
Virtualizing Relational Databases as Graphs: a multi-model approachJuan Sequeda
Talk given at Smart Data 2017
Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc.
A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database.
In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
These are the Consuming Linked Data by Humans slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
Presentation at Data/Graph Day Texas Conference.
Austin, Texas
January 14, 2017
This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.
Graph Query Languages: update from LDBCJuan Sequeda
The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to:
Devise a list of desired features and functionalities of a graph query language.
Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues.
Provide a better understanding of the design space and state-of-the-art.
Develop proposals for changes to existing query languages or even a new graph query language.
This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads.
This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.
Open Research Problems in Linked Data - WWW2010Juan Sequeda
These are the Open Research Problems of Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
A presentation to Digital Sparks North West's Transmissions event on 21 July 2010 [http://transmission6.eventbrite.com/].
This presentation covers Linked Data and the Semantic Web, and uses the example of companies such as TripIt to demonstrate that a little semantics can go a long way. The presentation then explores more formal approaches, such as those underway within the UK Government, and asks whether or not this is feasible in a commercial context.
The 5th AIS SigPrag International Pragmatic Web Conference Track (ICPW 2010) at the International Conference on Semantic Systems (i-Semantics 2010), 1 - 3 September 2010, Messecongress|Graz, Austria.
Virtualizing Relational Databases as Graphs: a multi-model approachJuan Sequeda
Talk given at Smart Data 2017
Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc.
A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database.
In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
These are the Consuming Linked Data by Humans slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
Presentation at Data/Graph Day Texas Conference.
Austin, Texas
January 14, 2017
This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.
Graph Query Languages: update from LDBCJuan Sequeda
The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to:
Devise a list of desired features and functionalities of a graph query language.
Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues.
Provide a better understanding of the design space and state-of-the-art.
Develop proposals for changes to existing query languages or even a new graph query language.
This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads.
This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.
Open Research Problems in Linked Data - WWW2010Juan Sequeda
These are the Open Research Problems of Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
A presentation to Digital Sparks North West's Transmissions event on 21 July 2010 [http://transmission6.eventbrite.com/].
This presentation covers Linked Data and the Semantic Web, and uses the example of companies such as TripIt to demonstrate that a little semantics can go a long way. The presentation then explores more formal approaches, such as those underway within the UK Government, and asks whether or not this is feasible in a commercial context.
The 5th AIS SigPrag International Pragmatic Web Conference Track (ICPW 2010) at the International Conference on Semantic Systems (i-Semantics 2010), 1 - 3 September 2010, Messecongress|Graz, Austria.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
13. So
what
is
the
problem?
• The
Web
has
problems
– People
aren’t
interested
in
documents
• They
are
interested
in
things
(that
are
in
documents)
– People
can
parse
documents
and
extract
meaning
• Web
pages
are
wriXen
in
HTML
• HTML
describes
visualiza)on
of
informa)on
• Computers
can’t!
14. What
do
we
need
to
do?
• We
need
to
help
machines
to
understand
the
web
so
machines
can
help
us
understand
things
– They
can
learn
what
we
are
interested
in
– They
can
help
us
beXer
find
what
we
want
15. How
can
we
do
that?
• Besides
publishing
documents
on
the
web
– which
computers
can’t
understand
easily
• Let’s
publish
something
that
computers
can
understand
28. Resource
Descrip)on
Framework
(RDF)
• A
data
model
– A
way
to
model
data
– i.e.
Rela)onal
databases
use
rela)onal
data
model
• RDF
is
a
triple
data
model
• Labeled
Graph
• Subject,
Predicate,
Object
• <Juan>
<was
born
in>
<California>
• <California>
<is
part
of>
<the
USA>
• <Juan>
<likes>
<the
Seman)c
Web>
29. RDF
can
be
serialized
in
different
ways
• RDF/XML
• RDFa
(RDF
in
HTML)
• N3
• Turtle
• JSON
30. So
does
that
mean
that
I
have
to
publish
my
data
in
RDF
now?
34. Databases
back
up
documents
THINGS
have
PROPERTIES:
A
Book
as
a
Title,
an
author,
…
Isbn
Title
Author
PublisherID
ReleasedData
978-‐0-‐596-‐153 Programming
Toby
Segaran
1
July
209
81-‐6
the
Seman.c
Web
…
…
…
…
…
PublisherID
PublisherName
This
is
a
THING:
A
book
)tle
“Programming
the
1
O’Reilly
Media
Seman)c
Web”
by
Toby
Segaran,
…
…
…
35. Lets
represent
the
data
in
RDF
Programming
the
)tle
Seman)c
Web
author
book
Toby
Segaran
isbn
978-‐0-‐596-‐15381-‐6
publisher
name
Publisher
O’Reilly
36. Remember
that
we
are
on
the
web
Everything
on
the
web
is
iden)fied
by
a
URI
37. And
now
let’s
link
the
data
to
other
data
Programming
the
)tle
Seman)c
Web
hXp://…/ author
Toby
Segaran
isbn978
isbn
978-‐0-‐596-‐15381-‐6
publisher
hXp://…/ name
publisher1
O’Reilly
38. And
now
consider
the
data
from
Revyu.com
hXp://…/ hasReview
hXp://…/
review1
isbn978
descrip)on
reviewer
Awesome
Book
hXp://…/
name
reviewer
Juan
Sequeda
39. Let’s
start
to
link
data
hXp://…/ hasReview
hXp://…/
review1
isbn978
Programming
the
descrip)on
)tle
Seman)c
Web
hasReviewer
sameAs
Awesome
author
hXp://…/
Book
Toby
Segaran
isbn978
hXp://…/
name
reviewer
isbn
978-‐0-‐596-‐15381-‐6
Juan
publisher
Sequeda
hXp://…/ name
publisher1
O’Reilly
40. Juan
Sequeda
publishes
data
too
hXp:// livesIn
hXp://dbpedia.org/Aus)n
juansequeda.
com/id
name
Juan
Sequeda
41. Let’s
link
more
data
hXp://…/ hasReview
hXp://…/
review1
isbn978
descrip)on
hasReviewer
Awesome
Book
hXp://…/
name
reviewer
sameAs
Juan
Sequeda
hXp:// livesIn
hXp://dbpedia.org/Aus)n
juansequeda.
com/id
name
Juan
Sequeda
42. And
more
hXp://…/ hasReview
hXp://…/
review1
isbn978
Programming
the
descrip)on
)tle
Seman)c
Web
hasReviewer
sameAs
Awesome
author
hXp://…/
Book
Toby
Segaran
isbn978
hXp://…/
name
reviewer
isbn
978-‐0-‐596-‐15381-‐6
sameAs
Juan
publisher
hXp://…/
Sequeda
name
publisher1
O’Reilly
hXp:// livesIn
hXp://dbpedia.org/Aus)n
juansequeda.
com/id
name
Juan
Sequeda
43. Data
on
the
Web
that
is
in
RDF
and
is
linked
to
other
RDF
data
is
LINKED
DATA
44. Linked
Data
Principles
1. Use
URIs
as
names
for
things
2. Use
HTTP
URIs
so
that
people
can
look
up
(dereference)
those
names.
3. When
someone
looks
up
a
URI,
provide
useful
informa)on.
4. Include
links
to
other
URIs
so
that
they
can
discover
more
things.
46. I
can
query
a
database
with
SQL.
Is
there
a
way
to
query
Linked
Data
with
a
query
language?
47. Yes!
There
is
actually
a
standardize
language
for
that
SPARQL
48. FIND
all
the
reviews
on
the
book
“Programming
the
Seman)c
Web”
by
people
who
live
in
Aus)n
49. hXp://…/ hasReview
hXp://…/
review1
isbn978
Programming
the
descrip)on
)tle
Seman)c
Web
hasReviewer
sameAs
Awesome
author
hXp://…/
Book
Toby
Segaran
isbn978
hXp://…/
name
reviewer
isbn
978-‐0-‐596-‐15381-‐6
sameAs
Juan
publisher
Sequeda
hXp://…/ name
publisher1
O’Reilly
hXp://
juansequeda. livesIn
hXp://dbpedia.org/Aus)n
com
name
Juan
Sequeda
50. This
looks
cool,
but
let’s
be
realis)c.
What
is
the
incen)ve
to
publish
Linked
Data?
51. What
was
your
incen)ve
to
publish
an
HTML
page
in
1990?
52. 1)
Share
data
in
documents
2)
Because
you
neighbor
was
doing
it
54. 1)
Share
data
as
data
2)
Because
you
neighbor
is
doing
it
55. And
guess
who
is
star)ng
to
publish
Linked
Data
now?
56. Linked
Data
Publishers
• UK
Government
• US
Government
• BBC
• Open
Calais
–
Thomson
Reuters
• Freebase
• NY
Times
• Best
Buy
• CNET
• Dbpedia
• Are
you?
59. Publishing
Linked
Data
• Legacy
Data
in
Rela)onal
Databases
– D2R
Server
– Virtuoso
– Triplify
– Ultrawrap
• CMS
– Drupal
7
• Na)ve
RDF
Stores
– Databases
for
RDF
(Triple
Stores)
• AllegroGraph,
Jena,
Sesame,
Virtuoso
– Talis
Plauorm
(Linked
Data
in
the
Cloud)
• In
HTML
with
RDFa