An introduction to the linked.art LOD data model, based on a carefully selected profile of CIDOC-CRM, and expressed as JSON-LD. It focuses on developer happiness and data usability, while trying to also maintain as much of the richness of CRM as possible.
A walkthrough of the CIDOC-CRM based, LOD data model developed and maintained at https://linked.art/ for describing cultural heritage resources and activities.
Tiers of Abstraction and Audience in Cultural Heritage Data ModelingRobert Sanderson
A walk through of a framework based around the distinctions between Abstraction, Implementation and Audience for considering the value and utility of data modeling patterns and paradigms in cultural heritage information systems. In particular, a focus on CIDOC-CRM, BibFrame, RiC-CM/RiC-O, EDM, and IIIF, with the intent to demonstrate best practices and anti-patterns in modeling.
IIIF and Linked Data: A Cultural Heritage DAM EcosystemRobert Sanderson
Presentation at DAMLA, November 15 2017, on the adoption of the IIIF image interoperability APIs across the Cultural Heritage sector for access to digital assets. How Linked Open Data then provides interoperable discovery solutions for that content.
Presentation about usability of linked data, following LODLAM 2020 at the Getty. Discusses JSON-LD 1.1, IIIF, Linked Art, in the context of the design principles for building usable APIs on top of semantically accurate models, and domain specific vocabularies.
In particular a focus on the different abstraction layers between conceptual model, ontology, vocabulary, and application profile and the various uses of the data.
Digital Share 2017 presentation about Linked Open Data at The Getty, starting from what LOD is, to why we're interested in it, and some of the practical approaches we're using to make it real.
Invited seminar for UIUC's IS 575 class on metadata in theory and practice, about structural metadata practice in RDF/LOD. Touches on OAI-ORE, PCDM, Annotation, IIIF and Linked Art. Challenges explored are graph boundaries, APIs and context specific metadata.
Sanderson CNI 2020 Keynote - Cultural Heritage Research Data EcosystemRobert Sanderson
There have been, and continue to be, many initiatives to address the social, technological, financial and policy-based challenges that throw up roadblocks towards achieving this vision. However, it is hard to tell whether we are making progress, or whether we are eternally waiting for the hyperloop that will never come. If we are to ever be able to answer research questions that require a broad, international corpus of cultural data, then we need an ecosystem that can be characterized with 5 “C”s: Collaborative, Consistent, Connected, Correct and Contextualized. Each of these has implications for the sustainability, innovation, usability, timeliness and ethical considerations that must be addressed in a coherent and holistic manner. As with autonomous vehicles, technology (and perhaps even machine “intelligence”) is a necessary but insufficient component.
In this presentation, I will frame and motivate this grand challenge and propose where we can build connections between the academy, the cultural heritage sector, and industry. The discussion will explore the issues, and highlight some of the successful endeavors and more approachable opportunities where, together, progress can be made.
A walkthrough of the CIDOC-CRM based, LOD data model developed and maintained at https://linked.art/ for describing cultural heritage resources and activities.
Tiers of Abstraction and Audience in Cultural Heritage Data ModelingRobert Sanderson
A walk through of a framework based around the distinctions between Abstraction, Implementation and Audience for considering the value and utility of data modeling patterns and paradigms in cultural heritage information systems. In particular, a focus on CIDOC-CRM, BibFrame, RiC-CM/RiC-O, EDM, and IIIF, with the intent to demonstrate best practices and anti-patterns in modeling.
IIIF and Linked Data: A Cultural Heritage DAM EcosystemRobert Sanderson
Presentation at DAMLA, November 15 2017, on the adoption of the IIIF image interoperability APIs across the Cultural Heritage sector for access to digital assets. How Linked Open Data then provides interoperable discovery solutions for that content.
Presentation about usability of linked data, following LODLAM 2020 at the Getty. Discusses JSON-LD 1.1, IIIF, Linked Art, in the context of the design principles for building usable APIs on top of semantically accurate models, and domain specific vocabularies.
In particular a focus on the different abstraction layers between conceptual model, ontology, vocabulary, and application profile and the various uses of the data.
Digital Share 2017 presentation about Linked Open Data at The Getty, starting from what LOD is, to why we're interested in it, and some of the practical approaches we're using to make it real.
Invited seminar for UIUC's IS 575 class on metadata in theory and practice, about structural metadata practice in RDF/LOD. Touches on OAI-ORE, PCDM, Annotation, IIIF and Linked Art. Challenges explored are graph boundaries, APIs and context specific metadata.
Sanderson CNI 2020 Keynote - Cultural Heritage Research Data EcosystemRobert Sanderson
There have been, and continue to be, many initiatives to address the social, technological, financial and policy-based challenges that throw up roadblocks towards achieving this vision. However, it is hard to tell whether we are making progress, or whether we are eternally waiting for the hyperloop that will never come. If we are to ever be able to answer research questions that require a broad, international corpus of cultural data, then we need an ecosystem that can be characterized with 5 “C”s: Collaborative, Consistent, Connected, Correct and Contextualized. Each of these has implications for the sustainability, innovation, usability, timeliness and ethical considerations that must be addressed in a coherent and holistic manner. As with autonomous vehicles, technology (and perhaps even machine “intelligence”) is a necessary but insufficient component.
In this presentation, I will frame and motivate this grand challenge and propose where we can build connections between the academy, the cultural heritage sector, and industry. The discussion will explore the issues, and highlight some of the successful endeavors and more approachable opportunities where, together, progress can be made.
Illusions of Grandeur: Trust and Belief in Cultural Heritage Linked Open DataRobert Sanderson
What is the notion of trust, when it comes to publishing linked open data in the cultural heritage sector? This presentation discusses some aspects with relation to three primary questions: How do we trust what was said, trust that the institution said it, and trust what it means?
Standards and Communities: Connected People, Consistent Data, Usable Applicat...Robert Sanderson
Keynote presentation at JCDL 2019 at UIUC, on the interaction between standards (development and usage) and communities. Looking at Linked Open Data, digital library protocols, and evaluation of standards practices.
To be useful, Linked Open Data requires shared identities and the reuse of their identifiers (URIs). This presentation argues that exact identity matching is both theoretically and practically impossible, and proposes some practical considerations for how to create an actual web of data.
Presented as invited seminar at UC Berkeley, February 24th, 2017
Linked Art: Sustainable Cultural Knowledge through Linked Open Usable DataRobert Sanderson
An introduction to Linked Art - why we need it, what it is, and how it works. A great starting point if you're interested in linked open usable data in cultural heritage, especially art museums.
US2TS Conference position paper on publishing and retrieving not just LOD, but LOUD -- Linked Open Usable Data.
APIs are the UIs of Developers, and need:
* Correct Abstraction level for the Audience
* Few Barriers to Entry
* Comprehensible by introspection
* Thorough Documentation with copy-able examples
* Few Exceptions, instead consistent patterns
Community Challenges for Practical Linked Open Data - Linked Pasts keynoteRobert Sanderson
A call to action to discuss and agree on practical considerations around the creation, publication and discovery of linked open data about historical activities and objects.
Text of approximately what I said: http://bit.ly/usable_lod
A non-technical introduction to Linked Data, from a Cultural Heritage organization's perspective. This presentation is from the Provenance Index workshop at the Getty in 2016, with an emphasis on why Linked Data is valuable, as well as how it works in general. [Please see speaker notes for explanations of image slides]
A Perspective on Wikidata: Ecosystems, Trust, and UsabilityRobert Sanderson
Brief and skeptical presentation about wikidata and its potential for use and abuse in the cultural heritage data ecosystem, presented at the PCC/LDAC forum on wikidata, November 12th, 2021.
Background for linked open data at the J Paul Getty Trust, followed by a summary of Linked Open Usable Data, and an initial walkthrough of the https://linked.art/ model.
American Art Collaborative Planning Grant Educational Briefings
Linked Data and Tools
Pedro Szekely - USC/Information Sciences Institute
September 30, 2014
Social Semantic Web on Facebook Open Graph protocol and Twitter AnnotationsMyungjin Lee
This Presentation show what the Social Semantic Web is and how Facebook Open Graph protocol and Twitter Annotations colligate with the Social Semantic Web.
Shirley Bacso, Data Architect, Ingka Digital
“Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products to be robust and compliant but also well-understood and effectively utilized.
This presentation was provided by Rob Sanderson of the J. Paul Getty Trust during the NISO Virtual Conference, Open Data Projects, held on Wednesday, June 13, 2018.
Illusions of Grandeur: Trust and Belief in Cultural Heritage Linked Open DataRobert Sanderson
What is the notion of trust, when it comes to publishing linked open data in the cultural heritage sector? This presentation discusses some aspects with relation to three primary questions: How do we trust what was said, trust that the institution said it, and trust what it means?
Standards and Communities: Connected People, Consistent Data, Usable Applicat...Robert Sanderson
Keynote presentation at JCDL 2019 at UIUC, on the interaction between standards (development and usage) and communities. Looking at Linked Open Data, digital library protocols, and evaluation of standards practices.
To be useful, Linked Open Data requires shared identities and the reuse of their identifiers (URIs). This presentation argues that exact identity matching is both theoretically and practically impossible, and proposes some practical considerations for how to create an actual web of data.
Presented as invited seminar at UC Berkeley, February 24th, 2017
Linked Art: Sustainable Cultural Knowledge through Linked Open Usable DataRobert Sanderson
An introduction to Linked Art - why we need it, what it is, and how it works. A great starting point if you're interested in linked open usable data in cultural heritage, especially art museums.
US2TS Conference position paper on publishing and retrieving not just LOD, but LOUD -- Linked Open Usable Data.
APIs are the UIs of Developers, and need:
* Correct Abstraction level for the Audience
* Few Barriers to Entry
* Comprehensible by introspection
* Thorough Documentation with copy-able examples
* Few Exceptions, instead consistent patterns
Community Challenges for Practical Linked Open Data - Linked Pasts keynoteRobert Sanderson
A call to action to discuss and agree on practical considerations around the creation, publication and discovery of linked open data about historical activities and objects.
Text of approximately what I said: http://bit.ly/usable_lod
A non-technical introduction to Linked Data, from a Cultural Heritage organization's perspective. This presentation is from the Provenance Index workshop at the Getty in 2016, with an emphasis on why Linked Data is valuable, as well as how it works in general. [Please see speaker notes for explanations of image slides]
A Perspective on Wikidata: Ecosystems, Trust, and UsabilityRobert Sanderson
Brief and skeptical presentation about wikidata and its potential for use and abuse in the cultural heritage data ecosystem, presented at the PCC/LDAC forum on wikidata, November 12th, 2021.
Background for linked open data at the J Paul Getty Trust, followed by a summary of Linked Open Usable Data, and an initial walkthrough of the https://linked.art/ model.
American Art Collaborative Planning Grant Educational Briefings
Linked Data and Tools
Pedro Szekely - USC/Information Sciences Institute
September 30, 2014
Social Semantic Web on Facebook Open Graph protocol and Twitter AnnotationsMyungjin Lee
This Presentation show what the Social Semantic Web is and how Facebook Open Graph protocol and Twitter Annotations colligate with the Social Semantic Web.
Shirley Bacso, Data Architect, Ingka Digital
“Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products to be robust and compliant but also well-understood and effectively utilized.
This presentation was provided by Rob Sanderson of the J. Paul Getty Trust during the NISO Virtual Conference, Open Data Projects, held on Wednesday, June 13, 2018.
A walk through of the Linked Art data model, API and community processes. Presented originally at the Rijksmuseum for the 5th Linked Art face to face meeting. Linked Art is a linked open usable data specification created by the community to describe artwork, museum objects, and related bibliographic and archival content.
“Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products being robust and compliant, but also well-understood and effectively utilized.
Professional Forum:
Eleanor Fink, American Art Collaborative, USA, Shane Richey, Crystal Bridges Museum of American Art, USA, Jeremy Tubbs, Indianapolis Museum of Art, USA, Rebecca Menendez, Autry Museum of the American West, USA, Cathryn Goodwin, Princeton University, USA
Last year the Andrew W. Mellon Foundation awarded a planning grant to the American Art Collaborative (AAC), a consortium of thirteen U.S. museums who have come together to learn about and implement LOD within their respective museums. Under the grant AAC developed a road map for the Initiative that will test LOD reconciliation issues, develop production and reconciliation tools, and result in the publication of American art holdings as LOD for researchers, educators, general public, aggregators such as DPLA, ResearchSpace, and digital application developers. The road map also includes publication of best practices and guidelines to share with the broader museum community.
In September 2015, AAC member Crystal Bridges Museum of American Art received on behalf of AAC, an IMLS National leadership grant and plans for additional grants are underway. These grants are allowing AAC to convert data to LOD using the CIDOC CRM, link to the Getty Vocabularies as well as contribute missing names to enhance the vocabularies, and implement an API and reader compliant with the International Image Interoperability Framework (IIIF) that will allow researchers to compare and contrast AAC LOD. Several open source tools including a link curation tool and IIIF/CRM translator will be developed and made available for other museums. AAC is developing its LOD under a federated model whereby each AAC member assumes responsibility for updating and maintaining its own data.
The session will bring together representatives from large as well as small AAC partners to discuss the benefits of LOD, some of the lessons learned and challenging documentation issues AAC is facing.
Bibliography:
American Alliance of Museums (Museum July/August 2016 Beyond the Hyperlink: Linked Open Data creates new opportunities;
http://www.club-innovation-culture.fr/emmanuelle-delmas-glass-yale-center-for-british-art-si-les-musees-ne-choisissent-pas-lopen-content-ils-deviendront-invisibles-et-inutiles/
Slides from Friday 3rd August - Data in the Scholarly Communications Life Cycle Course which is part of the FORCE11 Scholarly Communications Institute.
Presenter - Natasha Simons
AI, Knowledge Representation and Graph Databases - Key Trends in Data ScienceOptum
Knowledge Representation is a key focus for most modern AI texts. Many AI experts feel that over half of their work is understanding how to find the right knowledge structures to build intelligent agents that can continuously learn and respond to changing events in their world. In 2012, a paper published by Google started a consolidation of the many diverse forms of knowledge representation into a single general-purpose structure called a labeled property graph.
This talk will describe the key events behind this movement and show how a new generation of data scientist will be needed to build and maintain corporate knowledge graphs that contain a uniform, normalized and highly connected data sets for used by researchers and intelligent agents. We will also discuss the challenges of transferring siloed project-knowledge to reusable structures.
"Semantic Integration Is What You Do Before The Deep Learning". dev.bg Machine Learning seminar, 13 May 2019.
It's well known that 80\% of the effort of a data scientist is spent on data preparation. Semantic integration is arguably the best way to spend this effort more efficiently and to reuse it between tasks, projects and organizations. Knowledge Graphs (KG) and Linked Open Data (LOD) have become very popular recently. They are used by Google, Amazon, Bing, Samsung, Springer Nature, Microsoft Academic, AirBnb… and any large enterprise that would like to have a holistic (360 degree) view of its business. The Semantic Web (web 3.0) is a way to build a Giant Global Graph, just like the normal web is a Global Web of Documents. IEEE already talks about Big Data Semantics. We review the topic of KGs and their applicability to Machine Learning.
Data is our Product: Thoughts on LOD SustainabilityRobert Sanderson
Invited keynote presentation for the LINCS Project, June 23rd 2022 at the University of Guelph, Canada. It describes thoughts on a framework for sustainability of linked open usable data products in the cultural heritage domain.
A Practical-ish Introduction to Data ScienceMark West
In this talk I will share insights and knowledge that I have gained from building up a Data Science department from scratch. This talk will be split into three sections:
1. I'll begin by defining what Data Science is, how it is related to Machine Learning and share some tips for introducing Data Science to your organisation.
2. Next up well run through some commonly used Machine Learning algorithms used by Data Scientists, along with examples for use cases where these algorithms can be applied.
3. The final third of the talk will be a demonstration of how you can quickly get started with Data Science and Machine Learning using Python and the Open Source scikit-learn Library.
The Digital Object Identifier (DOI) is used for identifying intellectual property in the digital environment. The DOI is like a digital fingerprint: Each article receives a unique one at birth, and it can be used to identify the article throughout its lifespan, no matter where it goes. A DOI should be interpreted as 'digital identifier of an object' rather than 'identifier of a digital object'. A DOI can be assigned to any Object. In this workshop you will learn how to define a DOI, prepare Meta Data, and assign a DOI for a journal paper.
Linked Data Love: research representation, discovery, and assessment
#ALAAC15
The explosion of linked data platforms and data stores over the last five years has been profound – both in terms of quantity of data as well as its potential impact. Research information systems such as VIVO (www.vivoweb.org) play a significant role in enabling this work. VIVO is an open source, Semantic Web-based application that provides an integrated, searchable view of the scholarly activities of an organization. The uniform semantic structure of VIVO-ISF data enables a new class of tools to advance science. This presentation will provide a brief introduction and update to VIVO and present ways that this semantically-rich data can enable visualizations, reporting and assessment, next-generation collaboration and team building, and enhanced multi-site search. Libraries are uniquely positioned to facilitate the open representation of research information and its subsequent use to spur collaboration, discovery, and assessment. The talk will conclude with a description of ways librarians are engaged in this work – including visioning, metadata and ontology creation, policy creation, data curation and management, technical, and engagement activities.
Kristi Holmes, PhD
Director, Galter Health Sciences Library
Director of Evaluation, NUCATS
Associate Professor, Preventive Medicine-Health and Biomedical Informatics
Northwestern University Feinberg School of Medicine
Similar to Introduction to the Linked Art Data Model (20)
LUX - Cross Collections Cultural Heritage at YaleRobert Sanderson
A brief presentation based on the CNI talk for the Linked Data for Libraries Discovery affinity group about LUX, Linked Open Usable Data and our discovery processes based on graphs rather than documents.
An introduction to Linked Open Usable Data (LOUD) through the lens of a zooming paradigm, and thoughts on how such a paradigm can help to address some grand challenges of LOUD, including search granularity, trust and reconciliation. Presented to the IDLab / Knowledge at Web Scale department of the University of Ghent in Feb '23
Euromed2018 Keynote: Usability over Completeness, Community over CommitteeRobert Sanderson
Discussion of cultural heritage issues around usability and prioritization with completeness, and focus on bringing together communities rather than small and transient committees. Focus on Linked Open Usable Data, Annotations, JSON-LD, IIIF and Linked.Art.
Linked Open Data is great for recommendations about publishing data, but we need five more stars for the consumer -- How can it be both complete and usable? Design principles for Linked Open Usable Data.
Discussion of the needs around updating Shared Canvas data model for IIIF's Presentation API, and aligning with new work such as the Web Annotation specs.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
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
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.
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.
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.
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
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Introduction to the Linked Art Data Model
1. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Introduction
to
the
Linked
Art
Data
Model
Rob
Sanderson,
David
Newbury
Semantic
Architect,
Software
&
Data
Architect
J.
Paul
Getty
Trust
rsanderson@getty.edu,
dnewbury@getty.edu
@azaroth42,
@workergnome
3. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
What
is
the
CIDOC-‐CRM?
“The
CIDOC-‐CRM
provides
definitions
and
a
formal
structure
for
describing
the
implicit
and
explicit
concepts
and
relationships
used
in
cultural
heritage
documentation.”
• An
event-‐based way
to
look
at
the
world
• Standardized
meaning
and
structures
for
information
• ”Semantic
glue"
between
different
information
sources
• Highly
theoretical
4. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
What
is
RDF?
“RDF
is
a
standard
model
for
data
interchange
on
the
Web.”
• A
way
for
computers
to
work
with
facts
• A
way
to
express
statements
about
resources
• A
W3C
(web-‐based,
web-‐friendly)
data
standard
Subject -‐>
Predicate -‐>
Object
5. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
What
is
Linked
Data?
“The
term
Linked
Data
refers
to
a
set
of
best
practices
for
publishing
structured
data
on
the
Web.”
• Some
rules
that
help
make
RDF
useful
for
others
• Every
ID
is
a
HTTP
URL,
and
it
returns
info
about
itself
• You
should
use
other
people’s
URLs
whenever
you
can
Subject (URI) -‐>
Predicate (URI) -‐>
Object
(URI)
6. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
What
Came
Before?
CIDOC-‐CRM
Linked
Data
models
by
the
British
Museum,
YCBA,
SAAM,
Getty,
Zeri,
and
others.
Important
precursors
and
references
for
our
model,
these
were:
• Publishing-‐focused
• Institution-‐specific models
and
predicates
• Focused
on
Semantic
Correctness
7. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Linked
Art
Model
A
CIDOC-‐CRM
Linked
Data
model
designed
to
work
across
many
museums
and
to
enable
functional
applications
to
be
built
on
top
of
the
model.
• Standardized model
across
many
institutions
• Supports
varying
levels
of
completeness
• Enables
“round-‐trippability”
of
data
• Uses
CIDOC
alongside
AAT
and
other
RDF
vocabularies
• Focused
on
Usability
8. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Linked
Art
Model
Linked
Art
provides
patterns
and
models
that
enable
cultural
heritage
institutions
to
easily
publish
their
data
for
both
event-‐based
digital
research
projects
and
for
use
by
non-‐cultural-‐heritage
developers.
90%
of
the
use
cases
of
90%
of
the
organizations,
with
only
10%
of
the
complexity
of
the
full
CRM
ontology.
12. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Successful
Data
Models…
• Solve
actual
challenges,
documented
as
use
cases
• Using
data
that
is
captured
and
available
• Allow
consistent
description
of
shared
use
cases
• Allow
for
addition
of
information
not
shared
• Can
be
productively
used
• Via
easy-‐to-‐implement
services
• With
easy-‐to-‐implement
applications
• Provide
interoperability with
other
data
13. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Successful
Data
Models…
Are
developed
…
• Iteratively
• We
will
not
get
it
right
first
time
• Responsively
• We
will
adapt
it
in
response
to
feedback
• Responsibly
• We
will
consider
changes/features
carefully
• Collaboratively
• We
will
engage
with
the
community
and
stakeholders
14. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Successful
Data
Models…
Have
carefully
bounded
scope
Out
of
scope:
• Complex
Bibliography
• Adopt
eventual
solution
from
Library
domain
• Data
Provenance
• Not
Museum
specific,
adopt
solution
from
LOD
• Quantification
of
Uncertainty
• Unsustainably
complex,
data
unavailable
16. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Successful
Data
Models…
Are
Consistent and
Unsurprising
Common
Patterns
designed
and
used:
• Classification
of
Specifics
• Partitioning
• Statements
about
Resources
20. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Classification
of
Specifics
We
use
AAT
to
provide
more
specific
classifications
of
resources
than
are
possible
using
CIDOC-‐CRM
• Object:
Painting
vs
Sculpture
• Identifier:
Accession
Number
vs
Database
Id
• Place:
Country
vs
City
• Organization:
Museum
vs
Art
Dealer
• Activity:
Engraving
vs
Casting
21. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Partitioning
Many
types
of
resource
can
be
partitioned,
creating
identity
for
further
description
of
more
granular
parts
• Objects:
Parts,
Features
with
different
dimensions
etc
• Activities:
Exhibition
vs
Venue,
Auction
vs
Lot
• Locations:
Country,
Region,
City,
District,
Building
• Texts:
Set,
Volume,
Chapter,
Page
• Organizations:
Organization,
Program,
Dept,
Group
22. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Statements
about
Resources
Resources
can
have
statements
(notes)
with
classifications
for
the
topic
of
the
statement.
Can
co-‐exist
with
machine
readable
data.
• Materials
• Provenance
• Attribution
• Biography
• Description
23. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
JSON-‐LD
Representation
{
"@context": "https://lod.museum/ns/context/1/full.jsonld",
"id": "https://lod.museum/example/object/1",
"type": "ManMadeObject",
"classified_as": "aat:300033618", # by reference
"label": "Example Painting",
"made_of": {
"id": "aat:300015045", # by (minimal) value
"type": "Material",
"label": "watercolor"
}
}
24. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Linked.Art site
Detailed
information
about
the
model
is
on
the
site:
http://linked.art/model/
Split
into
sections
based
on
the
objects
of
interest:
• Objects;
Collections
• People;
Places
• Provenance;
Exhibitions
• Sources;
Datasets
25. @azaroth42
rsanderson
@getty.edu
IIIF:
Interoperabilituy
Intro
to
linked.art
Data
Model
@azaroth42
rsanderson
@getty.edu
Linked.Art vs
AAC
Target
Model?
The
linked.art model
continues
the
work
of
the
AAC
target
model:
• Apply
lessons
learnt
from
use
and
application
to
different
datasets,
domains
(Provenance,
Photos)
• Provides
more
detail
based
on
questions
from
reviews
and
subsequent
AAC
partner
discussion
• Ongoing
support
and
engagement
with
the
community
beyond
AAC
– Provenance,
Pharos,
Nomisma,
...