The document discusses metadata and semantic web technologies. It provides an example of using RDFa to embed metadata in a web page about a book. It also shows how schema.org, microformats, and microdata can be used to add structured metadata. Finally, it discusses linked data and how semantic web technologies allow sharing and linking data on the web.
These slides were presented as part of a W3C tutorial at the CSHALS 2010 conference (http://www.iscb.org/cshals2010). The slides are adapted from a longer introduction to the Semantic Web available at http://www.slideshare.net/LeeFeigenbaum/semantic-web-landscape-2009 .
A PDF version of the slides is available at http://thefigtrees.net/lee/sw/cshals/cshals-w3c-semantic-web-tutorial.pdf .
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It defines Linked Data as a set of best practices for publishing and connecting structured data on the web using URIs, HTTP, RDF, and other standards. It also explains semantic web technologies like RDF, ontologies, SKOS, and SPARQL that enable representing and querying structured data on the web. Finally, it discusses how libraries are applying these concepts through projects like BIBFRAME, FAST, library linked data platforms, and the LD4L project to represent bibliographic data as linked open data.
This document discusses the Semantic Web and Linked Open Data. It explains how the Semantic Web helps integrate data by using shared vocabularies and URIs to normalize meanings between data sources. As more datasets adopt Semantic Web principles by exposing structured data through URIs and RDF formats, individual datasets become less isolated and are interconnected to form a large knowledge base. The document provides examples of querying and exploring Linked Open Data through SPARQL and the LOD Cloud. It also offers recommendations for publishing and working with Linked Open Data.
WWW2014 Overview of W3C Linked Data Platform 20140410Arnaud Le Hors
The document summarizes the Linked Data Platform (LDP) being developed by the W3C Linked Data Platform Working Group. It describes the challenges of using Linked Data for application integration today and how the LDP specification aims to address these by defining HTTP-based patterns for creating, reading, updating and deleting Linked Data resources and containers in a standardized, RESTful way. The LDP models resources as HTTP entities that can be manipulated via standard methods and represent their state using RDF, addressing questions around resource management that the original Linked Data principles did not.
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference KeynoteKingsley Uyi Idehen
This document discusses Virtuoso, an RDF-based relational database management system. It summarizes Virtuoso's capabilities and recent improvements. Virtuoso uses structure awareness to store structured RDF data as tables for faster performance similar to SQL. Recent versions have achieved parity with SQL databases on benchmarks by exploiting common structures in RDF data through columnar storage and vector execution. The document outlines several ongoing European Commission projects using Virtuoso to drive further RDF performance improvements and expand its use in applications like geospatial data and life sciences.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
The document discusses metadata and semantic web technologies. It provides an example of using RDFa to embed metadata in a web page about a book. It also shows how schema.org, microformats, and microdata can be used to add structured metadata. Finally, it discusses linked data and how semantic web technologies allow sharing and linking data on the web.
These slides were presented as part of a W3C tutorial at the CSHALS 2010 conference (http://www.iscb.org/cshals2010). The slides are adapted from a longer introduction to the Semantic Web available at http://www.slideshare.net/LeeFeigenbaum/semantic-web-landscape-2009 .
A PDF version of the slides is available at http://thefigtrees.net/lee/sw/cshals/cshals-w3c-semantic-web-tutorial.pdf .
Linked Data, the Semantic Web, and You discusses key concepts related to Linked Data and the Semantic Web. It defines Linked Data as a set of best practices for publishing and connecting structured data on the web using URIs, HTTP, RDF, and other standards. It also explains semantic web technologies like RDF, ontologies, SKOS, and SPARQL that enable representing and querying structured data on the web. Finally, it discusses how libraries are applying these concepts through projects like BIBFRAME, FAST, library linked data platforms, and the LD4L project to represent bibliographic data as linked open data.
This document discusses the Semantic Web and Linked Open Data. It explains how the Semantic Web helps integrate data by using shared vocabularies and URIs to normalize meanings between data sources. As more datasets adopt Semantic Web principles by exposing structured data through URIs and RDF formats, individual datasets become less isolated and are interconnected to form a large knowledge base. The document provides examples of querying and exploring Linked Open Data through SPARQL and the LOD Cloud. It also offers recommendations for publishing and working with Linked Open Data.
WWW2014 Overview of W3C Linked Data Platform 20140410Arnaud Le Hors
The document summarizes the Linked Data Platform (LDP) being developed by the W3C Linked Data Platform Working Group. It describes the challenges of using Linked Data for application integration today and how the LDP specification aims to address these by defining HTTP-based patterns for creating, reading, updating and deleting Linked Data resources and containers in a standardized, RESTful way. The LDP models resources as HTTP entities that can be manipulated via standard methods and represent their state using RDF, addressing questions around resource management that the original Linked Data principles did not.
Virtuoso, The Prometheus of RDF -- Sematics 2014 Conference KeynoteKingsley Uyi Idehen
This document discusses Virtuoso, an RDF-based relational database management system. It summarizes Virtuoso's capabilities and recent improvements. Virtuoso uses structure awareness to store structured RDF data as tables for faster performance similar to SQL. Recent versions have achieved parity with SQL databases on benchmarks by exploiting common structures in RDF data through columnar storage and vector execution. The document outlines several ongoing European Commission projects using Virtuoso to drive further RDF performance improvements and expand its use in applications like geospatial data and life sciences.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
The document discusses the history and architecture of the World Wide Web and semantic web. It describes how Tim Berners-Lee created the World Wide Web in 1989 at CERN. It outlines the key components of the web including URIs, URLs, HTTP, HTML, and web browsers. It then discusses the evolution of the semantic web and linked data, including the use of XML, RDF, RDFS, and OWL to represent metadata and link data on the web.
The document discusses the evolution of the semantic web from its origins in military technology to its current use in commercial applications. It describes how semantic web standards like RDF, RDFS, and OWL were developed and how the semantic web has transformed in areas like markets, linked data, and scaling. The talk outline focuses on the origins of the semantic web, key developments through 2010, transformations in three application areas, related markets and companies, and the linked data and scaling revolution.
The document discusses a peer-to-peer (P2P) architecture for community grids where all resources, including computers, programs, data, and people, are represented as XML objects that can interact through XML messages. It proposes defining all resources, including software components and people, with web interfaces. All interactions would be message-based using a standardized XML format. Key research issues discussed include how programming languages and databases would work in this model and how to "compile" virtual XML definitions into efficient method calls.
Structured Dynamics provides 'ontology-driven applications'. Our product stack is geared to enable the semantic enterprise. The products are premised on preserving and leveraging existing information assets in an incremental, low-risk way. SD's products span from converters to authoring environments to Web services middleware and to eventual ontologies and user interfaces and applications.
This document discusses how the Semantic Web and linked open data can help address issues with isolated, disconnected biodiversity data sets by establishing common vocabularies and linking related resources. Key points include using URIs to identify concepts, representing data as subject-predicate-object triples, expressing data in formats like RDF and making data accessible via SPARQL querying. Adopting these linked data principles allows previously separate data sets to become interoperable components of a larger knowledge base.
Enterprise knowledge graphs use semantic technologies like RDF, RDF Schema, and OWL to represent knowledge as a graph consisting of concepts, classes, properties, relationships, and entity descriptions. They address the "variety" aspect of big data by facilitating integration of heterogeneous data sources using a common data model. Key benefits include providing background knowledge for various applications and enabling intra-organizational data sharing through semantic integration. Challenges include ensuring data quality, coherence, and managing updates across the knowledge graph.
The document discusses the concepts and implementation of linked data and the semantic web. It describes Cambridge University Library's COMET project which converted bibliographic records from MARC21 format to RDF triples and published them as linked open data with HTTP URIs. The project aimed to release data for open use and gain experience working with semantic web technologies like RDF, SPARQL and triplestores. Key challenges included dealing with IPR issues in MARC21 records and developing tools to transform and link the data.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
This document discusses the evolving semantic web. It defines the semantic web as making knowledge machine and human-readable by providing context and meaning for information on the web. The semantic web utilizes technologies like URIs, RDF, and OWL to describe relationships between web resources in a machine-readable way. Lighter semantic standards like RDFa, microformats, and microdata are also discussed as easier ways to add semantics to existing web pages. The status and potential future applications of the semantic web are outlined.
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)Beat Signer
The document discusses the vision of the Semantic Web and its key components:
- The Semantic Web aims to make data on the web machine-readable so machines can process and understand it.
- Key technologies include RDF, RDFS, and OWL which add structure and semantics to data through metadata.
- SPARQL is the query language used to extract and manipulate semantic data.
- Semantic frameworks like Jena and tools like Protégé help develop and work with semantic data.
This document discusses several technologies for data transactions in rich internet applications (RIAs), including REST, AMF, Flex-Ajax Bridge, JSON, and JSONRequest. REST uses XML, URIs and HTTP to enable distributed computing on the web. AMF is a proprietary data format used in Flash applications. The Flex-Ajax Bridge allows exposing ActionScript classes to JavaScript. JSON is a lightweight data interchange format used for transmitting data between client and server. JSONRequest proposes a new browser service for two-way data exchange using JSON.
The document provides an overview of the semantic web including:
1. It describes the key technologies that power the semantic web such as RDF, RDFS, OWL, and SPARQL which allow data to be shared and reused across applications.
2. It discusses semantic web themes like linked data, vocabularies, and inference which enable data from multiple sources to be integrated and new insights to be discovered.
3. It outlines current and future applications of the semantic web such as in e-commerce, online advertising, and government where semantic technologies can enhance search, personalization and data sharing.
Presentations at the FIREworks Strategy Workshop September 11, 2008.
http://www.ict-fireworks.eu/events/fireweek-in-september/fireworks-strategy-workshop/programme.html
The document outlines the architecture and layers of the Semantic Web Cake. It begins with the bottom layers of URI/IRI and XML and progresses up through layers including RDF, RDF Schema, OWL, and query/rule layers. It describes the purpose and components of each layer, such as using RDF to provide a basic assertion model and RDF Schema to describe classes of resources. The top layers unify the data through languages like OWL, RIF, and SPARQL to enable querying across data sources.
This document discusses Service Oriented Architecture (SOA) and Representational State Transfer (REST) systems of systems. It describes how SOA has evolved over time to include grids, clouds, and systems of systems. REST is characterized as an architectural style for building distributed hypermedia systems and leverages existing web technologies like HTTP and XML. In a REST system, resources are addressable via URIs and clients interact with servers by transferring representations of resources through standardized interfaces and operations.
Alex Wade, Digital Library Interoperabilityparker01
This document discusses digital library interoperability and Microsoft's efforts to support interoperability through various initiatives and technologies. Microsoft External Research aims to advance research through partnerships and provides tools and services to support the entire research process. Microsoft is committed to interoperability and provides open access, open tools, and open technologies. Microsoft has established several interoperability principles around open connections, standards support, and data portability. Microsoft is working to improve document and data interoperability through various projects and platforms like Zentity, which provides a repository for research outputs that supports various standards and protocols. Challenges and opportunities around digital libraries and interoperability in cloud computing environments are also discussed.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
The document discusses the history and architecture of the World Wide Web and semantic web. It describes how Tim Berners-Lee created the World Wide Web in 1989 at CERN. It outlines the key components of the web including URIs, URLs, HTTP, HTML, and web browsers. It then discusses the evolution of the semantic web and linked data, including the use of XML, RDF, RDFS, and OWL to represent metadata and link data on the web.
The document discusses the evolution of the semantic web from its origins in military technology to its current use in commercial applications. It describes how semantic web standards like RDF, RDFS, and OWL were developed and how the semantic web has transformed in areas like markets, linked data, and scaling. The talk outline focuses on the origins of the semantic web, key developments through 2010, transformations in three application areas, related markets and companies, and the linked data and scaling revolution.
The document discusses a peer-to-peer (P2P) architecture for community grids where all resources, including computers, programs, data, and people, are represented as XML objects that can interact through XML messages. It proposes defining all resources, including software components and people, with web interfaces. All interactions would be message-based using a standardized XML format. Key research issues discussed include how programming languages and databases would work in this model and how to "compile" virtual XML definitions into efficient method calls.
Structured Dynamics provides 'ontology-driven applications'. Our product stack is geared to enable the semantic enterprise. The products are premised on preserving and leveraging existing information assets in an incremental, low-risk way. SD's products span from converters to authoring environments to Web services middleware and to eventual ontologies and user interfaces and applications.
This document discusses how the Semantic Web and linked open data can help address issues with isolated, disconnected biodiversity data sets by establishing common vocabularies and linking related resources. Key points include using URIs to identify concepts, representing data as subject-predicate-object triples, expressing data in formats like RDF and making data accessible via SPARQL querying. Adopting these linked data principles allows previously separate data sets to become interoperable components of a larger knowledge base.
Enterprise knowledge graphs use semantic technologies like RDF, RDF Schema, and OWL to represent knowledge as a graph consisting of concepts, classes, properties, relationships, and entity descriptions. They address the "variety" aspect of big data by facilitating integration of heterogeneous data sources using a common data model. Key benefits include providing background knowledge for various applications and enabling intra-organizational data sharing through semantic integration. Challenges include ensuring data quality, coherence, and managing updates across the knowledge graph.
The document discusses the concepts and implementation of linked data and the semantic web. It describes Cambridge University Library's COMET project which converted bibliographic records from MARC21 format to RDF triples and published them as linked open data with HTTP URIs. The project aimed to release data for open use and gain experience working with semantic web technologies like RDF, SPARQL and triplestores. Key challenges included dealing with IPR issues in MARC21 records and developing tools to transform and link the data.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
This document discusses the evolving semantic web. It defines the semantic web as making knowledge machine and human-readable by providing context and meaning for information on the web. The semantic web utilizes technologies like URIs, RDF, and OWL to describe relationships between web resources in a machine-readable way. Lighter semantic standards like RDFa, microformats, and microdata are also discussed as easier ways to add semantics to existing web pages. The status and potential future applications of the semantic web are outlined.
Semantic Web and Web 3.0 - Web Technologies (1019888BNR)Beat Signer
The document discusses the vision of the Semantic Web and its key components:
- The Semantic Web aims to make data on the web machine-readable so machines can process and understand it.
- Key technologies include RDF, RDFS, and OWL which add structure and semantics to data through metadata.
- SPARQL is the query language used to extract and manipulate semantic data.
- Semantic frameworks like Jena and tools like Protégé help develop and work with semantic data.
This document discusses several technologies for data transactions in rich internet applications (RIAs), including REST, AMF, Flex-Ajax Bridge, JSON, and JSONRequest. REST uses XML, URIs and HTTP to enable distributed computing on the web. AMF is a proprietary data format used in Flash applications. The Flex-Ajax Bridge allows exposing ActionScript classes to JavaScript. JSON is a lightweight data interchange format used for transmitting data between client and server. JSONRequest proposes a new browser service for two-way data exchange using JSON.
The document provides an overview of the semantic web including:
1. It describes the key technologies that power the semantic web such as RDF, RDFS, OWL, and SPARQL which allow data to be shared and reused across applications.
2. It discusses semantic web themes like linked data, vocabularies, and inference which enable data from multiple sources to be integrated and new insights to be discovered.
3. It outlines current and future applications of the semantic web such as in e-commerce, online advertising, and government where semantic technologies can enhance search, personalization and data sharing.
Presentations at the FIREworks Strategy Workshop September 11, 2008.
http://www.ict-fireworks.eu/events/fireweek-in-september/fireworks-strategy-workshop/programme.html
The document outlines the architecture and layers of the Semantic Web Cake. It begins with the bottom layers of URI/IRI and XML and progresses up through layers including RDF, RDF Schema, OWL, and query/rule layers. It describes the purpose and components of each layer, such as using RDF to provide a basic assertion model and RDF Schema to describe classes of resources. The top layers unify the data through languages like OWL, RIF, and SPARQL to enable querying across data sources.
This document discusses Service Oriented Architecture (SOA) and Representational State Transfer (REST) systems of systems. It describes how SOA has evolved over time to include grids, clouds, and systems of systems. REST is characterized as an architectural style for building distributed hypermedia systems and leverages existing web technologies like HTTP and XML. In a REST system, resources are addressable via URIs and clients interact with servers by transferring representations of resources through standardized interfaces and operations.
Alex Wade, Digital Library Interoperabilityparker01
This document discusses digital library interoperability and Microsoft's efforts to support interoperability through various initiatives and technologies. Microsoft External Research aims to advance research through partnerships and provides tools and services to support the entire research process. Microsoft is committed to interoperability and provides open access, open tools, and open technologies. Microsoft has established several interoperability principles around open connections, standards support, and data portability. Microsoft is working to improve document and data interoperability through various projects and platforms like Zentity, which provides a repository for research outputs that supports various standards and protocols. Challenges and opportunities around digital libraries and interoperability in cloud computing environments are also discussed.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
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Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
5. Web 1.0
Publication of papers.
HTML / HTTP / TCP / IP
Links between publications.
URI
Consumption by humans.
Browsers
Static information.
The publisher provides the information.
Centralized.
6. Examples of web 1.0
Newspapers
Portals
Home Pages
Britannica Online
7. Web 2.0
Dynamic information.
Users provide the information.
XML, XML Schema, XSLT, XHR (Ajax).
New interfaces for humans
Apps (10’ interfaces)
Web Services.
SOAP, WSDL
REST, WADL
Syndication (RSS, ATOM, Podcasts, etc.)
8. Examples of web 2.0
Social networks
FB, Twitter, LinkedIn, Flickr, YT, etc.
Comments, tagging, voting, liking, blogging.
On-line databases
Wikipedia, Google Earth, OSM, etc.
Stores
eBay, Amazon, etc.
Content Management Systems
Drupal, Mediawiki, etc.
9. Examples of web 2.0
Apps
IPhone, Android, IP-TV, etc.
“Web as a platform”
Cloud
Google: Docs, Gmail, Calendar, etc.
Hotmail, MS Web Apps
Programmable web
Mashups (6809 en www.programmableweb.com)
APIs (7677 en www.programmableweb.com)
10. Web 3.0
Publication of data.
RDF / HTTP, XMPP / TCPv6 / IPv6
Links between data.
URI
Consumption by machines.
M2M, WSN
Federated information.
Created for multitude of entities.
Decentralized.
11. Web 3.0 Technologies
Semantic Web
Universal abstraction of information.
Meaning of información.
Standardized question languages
Standardized rule languages
Artificial intelligence.
Internet of Things (IoT)
Wireless sensor networks WSN (IPv6 / WiFi)
Grid Computing (federation)
Security, peer-to-peer (XMPP)
13. Abstraction of information
Semantic Triples
Subject Predicate Object (S, P, O)
Can describe all information that exists.
S & P are URI’s
O can be an URI or a LITERAL
Literals can have or lack a type.
Every type is defined by an URI.
14. Examples of Semantic Triples
Clayster “is a” Company
Clayster “is domiciled in” Valparaíso
Valparaíso “is a” City
Valparaíso “lies in” Chile
Chile “is a” Country
Peter Waher “is a” Man
Peter Waher “has” 40 years
Peter Waher “is employed by” Clayster.
Peter Waher “is married to” Katya Waher.
etc.
18. RDF
Resource Description Framework
W3C Recommendation (“Standard”)
Easy for machines to understand
RDF/XML (Documents)
RDFa (Micro format)
Uses the power of XML and Namespaces
Easy to validate
Difficult to read or write by humans.
21. Ontologies
Describe Vocabularies
Corresponds to Schemas in the XML-world
Permits deduction
RDF Schema (RDFS)
Very easy
Web Ontology Language (OWL)
More advanced
Three levels (Lite, DL, Full)
29. OOP for the Semantic Web
Objects in OOP are Objects in SW
Properties are Predicates
Values are Objects.
Classes in OOP are also Objects
30. Differences between OOP & WS
Object Oriented Programming OOP Semantic Web
Exclusive Inclusive
Centralized Distributed
Closed World assumption Open World assumption
Proprietary Collaborative
Deterministic Indeterministic
Classes have heritence Types and properties have heritence
31. SPARQL
SPARQL
W3C Recommendation (“Standard”)
“SPARQL Protocol and RDF
Query Language”
Performs Pattern Matching in semantic graphs.
SQL for the Semantic Web.
Connection through a “SPARQL Endpoint”.
Access to all types of data.
41. Evolution of Databases
Proprietary files (~ “web 1.0”)
Error prone.
Procedural API’s (~ “web 2.0”)
dBase, Paradox, FoxPro, etc.
Difficult to join information (relationships)
SQL (~ “web 3.0”)
MS SQL, Oracle, DB2, MySQL, Sybase, etc.
Standardized = Interchangeable
Easy to join information from different sources.
42. IoT: Web 2.0 vs Web 3.0
¿How many API’s can be
economically supported?
¿10? ¿25? ¿50? ¿100? ¿200?
~2’000’000’000 connected devices
~ 1 / person of middle class
2020: ~50’000’000’000 devices.
> 10 / person of middle class
¿How many product providers?
¿How many API’s for integration projects?
43. Centralized vs. Distributed
Centralized (web 2.0) Distributed (Federation - web 3.0)
Expensive Cheap
Inefficient Efficient
Difficult to grow proportionally Grows organically (~ neural network)
Insecure Secure
Lack of integrity Maximum of integrity
Easy to abuse Difficult to abuse
User does not control information User is owner of information
44. Plug Computers
Linux Server
1,2 Watts
2 USD for 24 / 7 / 365 service.
119 USD/unit price.
45. Security in Web 3.0
Based on HTTP
Authentication
Encryption (SSL/TLS)
Decentralized storage
Lowers the risk of attacks
Lowers the effect of an attack
Difficult to attack using an DDOS.
Extensions to other protocols
XMPP
47. Advantages with IETF, W3C, XSF
Replaceable components
Lowers the cost
Permits interchange of information
Permits a mixture of providers
Power shifts to client
Creates a new infrastructure
Permits new business models
53. Developing the technology for the future
¿Do you find this interesting?
¿Do you want to work with this with us?
We seek development engineers within:
.NET (server, platform)
WPF (client, UI)
Android (mobile, UI)
Integrated systems (PLC, electronic circuits)