Welcome to Linked Data 0/5 Semtech2011
Download as PPTX, PDF0 likes622 views
This document discusses creating, publishing and consuming linked data. It introduces key concepts related to linked data including HTML, CSS, HTTP, XML, JSON, API, URL, URI, RDF, RDFa, RDFS, OWL, RIF and SPARQL. The document includes a schedule but provides no further details.
1 of 3
Downloaded 29 times
Recommended
Virtualizing Relational Databases as Graphs: a multi-model approach
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.
Drupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on TutorialJuan Sequeda This document outlines the schedule and details for a seminar on using Drupal 7 for the Semantic Web. The day-long event includes sessions on rich snippets, an introduction to the Semantic Web, and hands-on advanced topics using Semantic Web technologies with Drupal. The schedule also lists times for registration, breaks, lunch, and a happy hour reception. Background is provided on one of the speakers, Stéphane Corlosquet, who has significantly contributed RDF and Semantic Web capabilities to Drupal.
Linked Data Applications - WWW2010
Linked Data Applications - WWW2010Juan Sequeda 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 Humans - WWW2010
Consuming Linked Data by Humans - WWW2010Juan Sequeda This document discusses different ways that humans can consume linked data on the web. It describes HTML browsers that can render RDFa embedded in web pages. It also discusses linked data browsers that allow users to view RDF triples in a tabular format. Faceted browsers provide a way to explore linked data through interactive facets. On-the-fly mashups dynamically combine data from multiple sources. The document encourages the development of new and innovative interfaces for interacting with linked data.
Conclusions - Linked Data
Conclusions - Linked DataJuan Sequeda Linked Data is a set of best practices for publishing data on the Web using standardized data models (RDF) and access methods (HTTP), enabling easier integration of data from different sources compared to proprietary APIs. The Linked Data architecture is open and allows discovery of new data sources at runtime, allowing applications to take advantage of new available data. When publishing Linked Data, considerations include linking to other datasets, and providing provenance, licensing, and access metadata using common vocabularies. Linked Data principles can also be applied within intranets for data integration.
Consuming Linked Data by Machines - WWW2010
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
What is the Semantic Web
What is the Semantic WebJuan Sequeda The document provides an overview of the Semantic Web and linked data. It defines the Semantic Web as publishing structured data on the web in a format that computers can understand, rather than just documents. Linked data follows principles like using URIs to identify things and linking data across sources to integrate information. Query languages like SPARQL can then be used to search across linked data. Examples show how data can be published as RDF and linked to create a global database. Applications that consume and combine linked data from multiple sources are discussed.
Free Money (a.k.a Fellowships)
Free Money (a.k.a Fellowships)Juan Sequeda This document provides information and advice about applying for the National Science Foundation Graduate Research Fellowship. It discusses key details of the fellowship such as eligibility requirements, funding amounts, and required application materials. The fellowship is highly competitive, so applicants are advised to spend 20 hours per week preparing their application, which must demonstrate both intellectual merit of the proposed research and its potential broader impacts. Strong letters of recommendation, personal and research statements, and proposing a feasible research plan are essential. Overall, the document offers guidance on crafting a competitive application by being specific, tying different parts together, and focusing on uniqueness.
Introduccion a la Web Semantica
Introduccion a la Web SemanticaJuan Sequeda El documento habla sobre la Web Semántica. Explica que la Web Semántica publica datos estructurados usando RDF para que los datos puedan vincularse y ser integrados entre sí. También describe cómo grandes empresas como Google, Facebook y el gobierno están usando RDF y cómo la Web Semántica permitirá buscar y encontrar información de una manera más efectiva en el futuro.
Introduction to Linked Data - WWW2010 
Introduction to Linked Data - WWW2010 Juan Sequeda These are the Introduction to Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
WTF is the Semantic Web
WTF is the Semantic WebJuan Sequeda The document discusses the Semantic Web and linked data. It defines the current web as consisting of documents linked by hyperlinks that are readable by humans but difficult for computers to understand. The Semantic Web aims to publish structured data on the web using common standards like RDF so that data can be linked, queried, and integrated across sources. Key points include:
- The Semantic Web uses RDF to represent data as a graph so that data from different sources can be linked together.
- Linked data follows principles like using URIs to identify things and including links to other related data.
- Query languages like SPARQL allow searching and integrating linked data from multiple sources.
- There are now
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010Juan Sequeda These are the welcome slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
Do I need a Graph Database?
Do I need a Graph Database?Juan Sequeda 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 LDBC
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 - WWW2010
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
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Juan Sequeda This document summarizes techniques for publishing linked data on the web. It discusses publishing static RDF files, embedding RDF in HTML using RDFa, linking to other URIs, generating linked data from relational databases using RDB2RDF tools, publishing linked data from triplestores and APIs, hosting linked data in the cloud, and testing linked data quality.
WTF is the Semantic Web and Linked Data
WTF is the Semantic Web and Linked DataJuan Sequeda This document provides an overview of the Semantic Web and Linked Data. It begins by explaining some of the limitations of the current web, which treats all content as unstructured documents rather than structured data. It then introduces the Semantic Web and its data model, RDF, which allows publishing structured data on the web in a standardized way using graph-based representations. This enables linking different data sources on the web, addressing the problem of data silos. The document provides examples of representing bibliographic data about books in RDF and linking it to other datasets, demonstrating how the Semantic Web enables integrating and finding related information on the web.
Introduction to Linked Data 1/5
Introduction to Linked Data 1/5Juan Sequeda This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
Linked Data tutorial at Semtech 2012
Linked Data tutorial at Semtech 2012Juan Sequeda My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Juan Sequeda This document discusses various approaches for building applications that consume linked data from multiple datasets on the web. It describes characteristics of linked data applications and generic applications like linked data browsers and search engines. It also covers domain-specific applications, faceted browsers, SPARQL endpoints, and techniques for accessing and querying linked data including follow-up queries, querying local caches, crawling data, federated query processing, and on-the-fly dereferencing of URIs. The advantages and disadvantages of each technique are discussed.
How to Get My Paper Accepted at Top Software Engineering Conferences
How to Get My Paper Accepted at Top Software Engineering ConferencesAlex Orso This is a talk Sebastian Uchitel and I gave for students at the Latin-American School on Software Engineering
Consuming Linked Data SemTech2010
Consuming Linked Data SemTech2010Juan Sequeda This is a one hour talk introducing Linked Data and how Linked Data can be consumed by humans and by machines through SPARQL
Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011Juan Sequeda This document discusses Linked Data and the best practices for publishing and interlinking data on the web. It covers four main principles:
1) Use URIs as names for things and identify real-world objects with HTTP URIs.
2) Use HTTP URIs so that people can look up those names by dereferencing the URIs.
3) Provide useful RDF information when URIs are dereferenced, using formats like RDF/XML, RDFa, N3, or Turtle.
4) Include links to other URIs to discover more related things and connect isolated data silos. This allows data to be interlinked on the Web.
Introduction to Linked Data
Introduction to Linked DataJuan Sequeda This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013Juan Sequeda The Relational Databases to RDF (RDB2RDF) Tutorial at the 2013 International Semantic Web Conference (ISWC2013)
2025-05-Q4-2024-Investor-Presentation.pptx
2025-05-Q4-2024-Investor-Presentation.pptxSamuele Fogagnolo Cloudflare Q4 Financial Results Presentation
Cybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure ADVICTOR MAESTRE RAMIREZ Cybersecurity Identity and Access Solutions using Azure AD
Mobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi ArabiaSteve Jonas EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Big Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
More Related Content
Viewers also liked (17)
Introduccion a la Web Semantica
Introduccion a la Web SemanticaJuan Sequeda El documento habla sobre la Web Semántica. Explica que la Web Semántica publica datos estructurados usando RDF para que los datos puedan vincularse y ser integrados entre sí. También describe cómo grandes empresas como Google, Facebook y el gobierno están usando RDF y cómo la Web Semántica permitirá buscar y encontrar información de una manera más efectiva en el futuro.
Introduction to Linked Data - WWW2010
Introduction to Linked Data - WWW2010 Juan Sequeda These are the Introduction to Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
WTF is the Semantic Web
WTF is the Semantic WebJuan Sequeda The document discusses the Semantic Web and linked data. It defines the current web as consisting of documents linked by hyperlinks that are readable by humans but difficult for computers to understand. The Semantic Web aims to publish structured data on the web using common standards like RDF so that data can be linked, queried, and integrated across sources. Key points include:
- The Semantic Web uses RDF to represent data as a graph so that data from different sources can be linked together.
- Linked data follows principles like using URIs to identify things and including links to other related data.
- Query languages like SPARQL allow searching and integrating linked data from multiple sources.
- There are now
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010Juan Sequeda These are the welcome slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
Do I need a Graph Database?
Do I need a Graph Database?Juan Sequeda 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 LDBC
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 - WWW2010
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
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Juan Sequeda This document summarizes techniques for publishing linked data on the web. It discusses publishing static RDF files, embedding RDF in HTML using RDFa, linking to other URIs, generating linked data from relational databases using RDB2RDF tools, publishing linked data from triplestores and APIs, hosting linked data in the cloud, and testing linked data quality.
WTF is the Semantic Web and Linked Data
WTF is the Semantic Web and Linked DataJuan Sequeda This document provides an overview of the Semantic Web and Linked Data. It begins by explaining some of the limitations of the current web, which treats all content as unstructured documents rather than structured data. It then introduces the Semantic Web and its data model, RDF, which allows publishing structured data on the web in a standardized way using graph-based representations. This enables linking different data sources on the web, addressing the problem of data silos. The document provides examples of representing bibliographic data about books in RDF and linking it to other datasets, demonstrating how the Semantic Web enables integrating and finding related information on the web.
Introduction to Linked Data 1/5
Introduction to Linked Data 1/5Juan Sequeda This document provides an introduction to linked data and the semantic web. It discusses how the current web contains documents that are difficult for computers to understand, but linked data publishes structured data on the web using common standards like RDF and URIs. This allows data to be interlinked and queried using SPARQL. Publishing data as linked data makes the web appear as one huge global database. There are now many incentives for organizations to publish their data as linked data, as it enables data sharing and integration in addition to potential benefits like semantic search engine optimization. Linked data is a growing trend with many large organizations and governments now publishing data.
Linked Data tutorial at Semtech 2012
Linked Data tutorial at Semtech 2012Juan Sequeda My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Juan Sequeda This document discusses various approaches for building applications that consume linked data from multiple datasets on the web. It describes characteristics of linked data applications and generic applications like linked data browsers and search engines. It also covers domain-specific applications, faceted browsers, SPARQL endpoints, and techniques for accessing and querying linked data including follow-up queries, querying local caches, crawling data, federated query processing, and on-the-fly dereferencing of URIs. The advantages and disadvantages of each technique are discussed.
How to Get My Paper Accepted at Top Software Engineering Conferences
How to Get My Paper Accepted at Top Software Engineering ConferencesAlex Orso This is a talk Sebastian Uchitel and I gave for students at the Latin-American School on Software Engineering
Consuming Linked Data SemTech2010
Consuming Linked Data SemTech2010Juan Sequeda This is a one hour talk introducing Linked Data and how Linked Data can be consumed by humans and by machines through SPARQL
Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011Juan Sequeda This document discusses Linked Data and the best practices for publishing and interlinking data on the web. It covers four main principles:
1) Use URIs as names for things and identify real-world objects with HTTP URIs.
2) Use HTTP URIs so that people can look up those names by dereferencing the URIs.
3) Provide useful RDF information when URIs are dereferenced, using formats like RDF/XML, RDFa, N3, or Turtle.
4) Include links to other URIs to discover more related things and connect isolated data silos. This allows data to be interlinked on the Web.
Introduction to Linked Data
Introduction to Linked DataJuan Sequeda This document introduces linked data and discusses how publishing data as linked RDF triples on the web allows for a global linked database. It explains that linked data uses HTTP URIs to identify things and links data from different sources to be queried using SPARQL. Publishing linked data provides benefits like being able to integrate and discover related data on the web. Tools are available to convert existing data or publish new data as linked open data.
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013Juan Sequeda The Relational Databases to RDF (RDB2RDF) Tutorial at the 2013 International Semantic Web Conference (ISWC2013)
Recently uploaded (20)
2025-05-Q4-2024-Investor-Presentation.pptx
2025-05-Q4-2024-Investor-Presentation.pptxSamuele Fogagnolo Cloudflare Q4 Financial Results Presentation
Cybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure ADVICTOR MAESTRE RAMIREZ Cybersecurity Identity and Access Solutions using Azure AD
Mobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi ArabiaSteve Jonas EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Big Data Analytics Quick Research Guide by Arthur Morgan
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Linux Support for SMARC: How Toradex Empowers Embedded Developers
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
AI and Data Privacy in 2025: Global Trends
AI and Data Privacy in 2025: Global TrendsInData Labs In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Generative Artificial Intelligence (GenAI) in Business
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
How Can I use the AI Hype in my Business Context?
How Can I use the AI Hype in my Business Context?Daniel Lehner 𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
HCL Nomad Web – Best Practices and Managing Multiuser Environments
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Quantum Computing Quick Research Guide by Arthur Morgan
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager API
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
Splunk Security Update | Public Sector Summit Germany 2025
Splunk Security Update | Public Sector Summit Germany 2025Splunk Splunk Security Update
Sprecher: Marcel Tanuatmadja
Linux Professional Institute LPIC-1 Exam.pdf
Linux Professional Institute LPIC-1 Exam.pdfRHCSA Guru Introduction to LPIC-1 Exam - overview, exam details, price and job opportunities
Dev Dives: Automate and orchestrate your processes with UiPath Maestro
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Into The Box Conference Keynote Day 1 (ITB2025)
Into The Box Conference Keynote Day 1 (ITB2025)Ortus Solutions, Corp This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Welcome to Linked Data 0/5 Semtech2011
- 1. Creating, Publishing and Consuming Linked DataJuan F. SequedaSemantic Technology ConferenceJune 2011
- 2. How many people are familiar withHTMLCSSBrowserHTTPXMLJSONAPIURLURIRDFRDFaRDFSOWLRIFSPARQL
- 3. Schedule