The document discusses Linked Data and Richard Wallis' presentation on the topic. It provides an overview of Linked Data principles like using URIs to identify things and including links between URIs. Examples are given of existing Linked Data projects like VIAF, Dewey, and WorldCat data. Benefits of Linked Data for connecting libraries and supporting future automation are discussed.
The document discusses the challenges of extracting value from vast amounts of content created quickly by The Press Association. It proposes using a content and metadata pattern to simplify abstracting the different types of content, like text, images, video and data. Standardizing identifiers for entities and using "wild" data could help increase the sustainability of the Semantic Web by furthering standards development within communities like the W3C and IPTC.
Talis has experience providing Linked Data services for several government agencies in the UK, including Data.gov.uk, the UK Parliament, the BBC, Ordnance Survey, and the Office for National Statistics. Talis hosts and serves Linked Data for over 60 customers using its Prism and Aspire platforms. The UK government aims to be a world leader in open data and transparency through initiatives like Data.gov.uk.
Este documento resume varios principios de fluidos en movimiento, incluyendo el principio de Pascal sobre la presión en un fluido dependiendo de la altura y densidad, la prensa hidráulica como aplicación de este principio, el principio de Arquímedes sobre la fuerza de empuje en un fluido, la definición de gasto o caudal como el área por la velocidad de un fluido, y el teorema de Torricelli sobre la velocidad de salida de un fluido a través de un orificio.
This document is a quiz about Philippine plays and theater produced by the FEU Theater Guild. It asks multiple choice questions about specific plays, productions, quotes, and other details. The questions cover topics like plays adapted from poems or films, productions showcased at festivals, and other contextual information about the performances.
1) The document discusses a vision for linking CRIS (Current Research Information Systems) and OAR (Open Access Repositories) data as Linked Data to improve interoperability in scholarly communication.
2) It proposes using common vocabularies and assigning persistent URIs to entities like publications, authors, projects and organizations to reduce duplication and improve data sharing across domains.
3) Next steps include adopting the KE CRIS-OAR data model and vocabulary and exploring how Linked Data approaches could be used to link publications, research data, and CRIS and OAR domains as part of the OpenAIREplus project.
The document discusses Linked Data and Richard Wallis' presentation on the topic. It provides an overview of Linked Data principles like using URIs to identify things and including links between URIs. Examples are given of existing Linked Data projects like VIAF, Dewey, and WorldCat data. Benefits of Linked Data for connecting libraries and supporting future automation are discussed.
The document discusses the challenges of extracting value from vast amounts of content created quickly by The Press Association. It proposes using a content and metadata pattern to simplify abstracting the different types of content, like text, images, video and data. Standardizing identifiers for entities and using "wild" data could help increase the sustainability of the Semantic Web by furthering standards development within communities like the W3C and IPTC.
Talis has experience providing Linked Data services for several government agencies in the UK, including Data.gov.uk, the UK Parliament, the BBC, Ordnance Survey, and the Office for National Statistics. Talis hosts and serves Linked Data for over 60 customers using its Prism and Aspire platforms. The UK government aims to be a world leader in open data and transparency through initiatives like Data.gov.uk.
Este documento resume varios principios de fluidos en movimiento, incluyendo el principio de Pascal sobre la presión en un fluido dependiendo de la altura y densidad, la prensa hidráulica como aplicación de este principio, el principio de Arquímedes sobre la fuerza de empuje en un fluido, la definición de gasto o caudal como el área por la velocidad de un fluido, y el teorema de Torricelli sobre la velocidad de salida de un fluido a través de un orificio.
This document is a quiz about Philippine plays and theater produced by the FEU Theater Guild. It asks multiple choice questions about specific plays, productions, quotes, and other details. The questions cover topics like plays adapted from poems or films, productions showcased at festivals, and other contextual information about the performances.
1) The document discusses a vision for linking CRIS (Current Research Information Systems) and OAR (Open Access Repositories) data as Linked Data to improve interoperability in scholarly communication.
2) It proposes using common vocabularies and assigning persistent URIs to entities like publications, authors, projects and organizations to reduce duplication and improve data sharing across domains.
3) Next steps include adopting the KE CRIS-OAR data model and vocabulary and exploring how Linked Data approaches could be used to link publications, research data, and CRIS and OAR domains as part of the OpenAIREplus project.
The document outlines a 6-step process for starting a linked data project: 1) survey data assets, 2) start with obvious hubs of information, 3) organize and involve stakeholders, 4) identify a project team, 5) refine data models to enable reuse, and 6) produce and iterate.
The document discusses how the web influences data. It describes the structure of Talis Group Ltd, which includes several subsidiary companies. It then discusses how linked data, by linking datasets and data within datasets, allows data to be web native and helps build a web of data. This represents a shift from traditional approaches where data was isolated.
The Stanford Workshop focused on creating plans to expedite a shift in how knowledge and information resources are managed and discovered through linked data. The goal was to identify capabilities and design new tools, processes, and systems that move beyond current metadata practices to link related resources and provide improved navigation and discovery through open feedback. A number of organizations from around the world participated in the workshop to discuss these issues.
This document discusses the Linked Open Data University of Münster (LODUM) project. The project aims to provide data about the University of Münster such as information about faculties, students, professors, courses, buildings and other resources as linked open data to increase transparency, visibility, and enable new types of research. It provides an example of searching for reference data from Iceland and discusses next steps such as launching the LODUM data portal and establishing links to data from other universities.
This document provides a high-level history of Talis and the evolution of the internet from 1969 to today:
- It traces the key developments in computing and the internet from 1969 to the present day, including the creation of ARPANET in 1969, email in 1971, the World Wide Web in 1989, and popular sites like Google, Wikipedia, Facebook and YouTube.
- It outlines the founding of Talis in 1969 as BLCMP Co-operative and its transition to a for-profit company in 1999, development of its semantic platform beginning in 2006, and launch of 3 SaaS services in 2008.
- The document describes Talis' philosophy, structure as an employee-owned group with subsid
The document discusses the key concepts of linked data, including identifying things with URIs, representing relationships between things using RDF triples, and using URIs to merge and link data across systems. Linked data relies on web standards like HTTP and RDF, and there are many open datasets and tools available to work with linked data.
This document discusses examples of Linked Data being used in real world applications. It describes how the BBC Wildlife Finder application uses Linked Data to describe different types of animals. It also mentions a problem with search results not being properly returned or described using existing data standards.
Linked Data uses techniques that are not new, but builds on the existing Web to provide a real implementation of Semantic Web standards. It represents data in a Web-native format and links open, enterprise and commercial data sources. Linked Data adopts an open world modeling approach and adds value through its differences from traditional data modeling, enabling easy reuse and reducing development costs.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
The document outlines a 6-step process for starting a linked data project: 1) survey data assets, 2) start with obvious hubs of information, 3) organize and involve stakeholders, 4) identify a project team, 5) refine data models to enable reuse, and 6) produce and iterate.
The document discusses how the web influences data. It describes the structure of Talis Group Ltd, which includes several subsidiary companies. It then discusses how linked data, by linking datasets and data within datasets, allows data to be web native and helps build a web of data. This represents a shift from traditional approaches where data was isolated.
The Stanford Workshop focused on creating plans to expedite a shift in how knowledge and information resources are managed and discovered through linked data. The goal was to identify capabilities and design new tools, processes, and systems that move beyond current metadata practices to link related resources and provide improved navigation and discovery through open feedback. A number of organizations from around the world participated in the workshop to discuss these issues.
This document discusses the Linked Open Data University of Münster (LODUM) project. The project aims to provide data about the University of Münster such as information about faculties, students, professors, courses, buildings and other resources as linked open data to increase transparency, visibility, and enable new types of research. It provides an example of searching for reference data from Iceland and discusses next steps such as launching the LODUM data portal and establishing links to data from other universities.
This document provides a high-level history of Talis and the evolution of the internet from 1969 to today:
- It traces the key developments in computing and the internet from 1969 to the present day, including the creation of ARPANET in 1969, email in 1971, the World Wide Web in 1989, and popular sites like Google, Wikipedia, Facebook and YouTube.
- It outlines the founding of Talis in 1969 as BLCMP Co-operative and its transition to a for-profit company in 1999, development of its semantic platform beginning in 2006, and launch of 3 SaaS services in 2008.
- The document describes Talis' philosophy, structure as an employee-owned group with subsid
The document discusses the key concepts of linked data, including identifying things with URIs, representing relationships between things using RDF triples, and using URIs to merge and link data across systems. Linked data relies on web standards like HTTP and RDF, and there are many open datasets and tools available to work with linked data.
This document discusses examples of Linked Data being used in real world applications. It describes how the BBC Wildlife Finder application uses Linked Data to describe different types of animals. It also mentions a problem with search results not being properly returned or described using existing data standards.
Linked Data uses techniques that are not new, but builds on the existing Web to provide a real implementation of Semantic Web standards. It represents data in a Web-native format and links open, enterprise and commercial data sources. Linked Data adopts an open world modeling approach and adds value through its differences from traditional data modeling, enabling easy reuse and reducing development costs.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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24. identifier
28801.0kg
Columbia
Apollo 11 CSM
CSM-107
thing
United States
Cape Canaveral
1969-059A
spacecraft/1969-059A
nasa.dataincubator.org/spacecraft/1969-059A
http://nasa.dataincubator.org/spacecraft/1969-059A
25. identifier
28801.0kg
Columbia
Apollo 11 CSM
CSM-107
thing
United States
Cape Canaveral
1969-059A
Saturn 5 spacecraft/1969-059A
nasa.dataincubator.org/spacecraft/1969-059A
http://nasa.dataincubator.org/spacecraft/1969-059A
26. identifier
28801.0kg
Columbia
Apollo 11 CSM
CSM-107
thing
United States
Cape Canaveral
1969-059A
Saturn 5 spacecraft/1969-059A
nasa.dataincubator.org/spacecraft/1969-059A
http://nasa.dataincubator.org/spacecraft/1969-059A
30. identifier
Apollo 11 CSM
28801.0
name
mass .../1969-059A
31. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A
32. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A
launch
../launch:
1969-059
33. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A 16 July 1969
launch
date
../launch:
1969-059
34. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A 16 July 1969
launch
date
../launch:
1969-059
site
Cape
Canaveral
35. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A 16 July 1969
launch
date
../launch:
1969-059
site
Cape
Canaveral lat
N 28° 27' 31''
36. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A 16 July 1969
launch
date
../launch:
1969-059
site
Cape
Canaveral lat
N 28° 27' 31''
long
W 80° 31' 59''
37. identifier
Apollo 11 CSM Columbia
name
28801.0 name
mass .../1969-059A 16 July 1969
launch
date
../launch:
1969-059
<../1969-059A> mass 28801.0 .
<../1969-059A> name “Apollo 11 CSM” . site
<../1969-059A> name “Columbia” .
<../1969-059A> launch <../launch/1969-059> .
<../launch/1969-059> date 1969-07-16 . Cape
<../launch/1969-059> site <..site/capecanaveral> . Canaveral lat
<..site/capecanaveral> lat “N 28° 27' 31''” .
<..site/capecanaveral> long “W 80° 31' 59''” .
N 28° 27' 31''
long
W 80° 31' 59''
40. Simple format
An easy structure for capturing data
property
subject value
41. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
42. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
43. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A
44. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent
45. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent ../person/B
46. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent ../person/B
../person/B
47. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent ../person/B
../person/B name
48. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent ../person/B
../person/B name “Eric”
49. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent ../person/B
../person/B name “Eric”
50. Simple format
An easy structure for capturing data
property
subject value
property
thing thing
Simple merging
An easy way to bung stuff together
../person/A hasParent ../person/B name “Eric”
68. Tools
• prefix.cc
- namespace lookup
• schemapedia.com, schemacache.com
- vocabulary search
• sindice.com, ckan.net, LOD Diagram
- identify data sets to link with
69. Tools
• prefix.cc
- namespace lookup
• schemapedia.com, schemacache.com
- vocabulary search
• sindice.com, ckan.net, LOD Diagram
- identify data sets to link with
• Kasabi Linked Data Marketplace
70. Tools
• prefix.cc
- namespace lookup
• schemapedia.com, schemacache.com
- vocabulary search
• sindice.com, ckan.net, LOD Diagram
- identify data sets to link with
• Kasabi Linked Data Marketplace
- access other data sources
89. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
date
../launch:
1969-059
Cape
Canaveral
90. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
../launch:
1969-059
Cape
Canaveral
91. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
Processing ../launch:
1969-059
Cape
Canaveral
92. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
Processing ../launch:
• Turtle 1969-059
Cape
Canaveral
93. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
Processing ../launch:
• Turtle 1969-059
Human readable
Cape
Canaveral
94. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
Processing ../launch:
• Turtle 1969-059
Human readable
• RDFa Cape
Canaveral
95. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
Processing ../launch:
• Turtle 1969-059
Human readable
• RDFa Cape
Html embedded Canaveral
96. RDF Flavours
• RDF/XML 16 July 1969
Machine to machine
• N-Triples date
Processing ../launch:
• Turtle 1969-059
Human readable
• RDFa Cape
Html embedded Canaveral
All valid RDF
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99. Put it on a web server
http://www.flickr.com/photos/traftery/4773457853
106. SPARQL
SPARQL RDF Query Language
• Triple pattern matching
- uses Turtle
• Requires a SPARQL-endpoint
107. SPARQL
SPARQL RDF Query Language
• Triple pattern matching
- uses Turtle
• Requires a SPARQL-endpoint
• Backed by a Triple Store
108. SPARQL
SPARQL RDF Query Language
• Triple pattern matching
- uses Turtle
• Requires a SPARQL-endpoint
• Backed by a Triple Store
- Local hosted
109. SPARQL
SPARQL RDF Query Language
• Triple pattern matching
- uses Turtle
• Requires a SPARQL-endpoint
• Backed by a Triple Store
- Local hosted
- Hosted
110. SPARQL
SPARQL RDF Query Language
• Triple pattern matching
- uses Turtle
• Requires a SPARQL-endpoint
• Backed by a Triple Store
- Local hosted
- Hosted
- Managed Service - Talis
115. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
116. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
117. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
• Bespoke Views
118. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
• Bespoke Views
- Hand crafted webpages
119. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
• Bespoke Views
- Hand crafted webpages
• Backed by a Triple Store
120. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
• Bespoke Views
- Hand crafted webpages
• Backed by a Triple Store
- Local hosted
121. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
• Bespoke Views
- Hand crafted webpages
• Backed by a Triple Store
- Local hosted
- Hosted
122. Linked Data Views
HTML based views of your data
• Linked Data API
- Puelia
- Elda
• Bespoke Views
- Hand crafted webpages
• Backed by a Triple Store
- Local hosted
- Hosted
- Managed Service - Talis
140. Accessing your Data
}
All have APIs
All different!
Dat a API
http://www.flickr.com/photos/jwilde/3499946512
141. Summary
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142. Summary
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ontology identifier SPARQL
RDF
property g
url resource mergin
model triple API
143. le
URI
DF
trip
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http://www.flickr.com/photos/thienzieyung/5147954561
144. D F
R I
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t
http://www.flickr.com/photos/thienzieyung/5147954561