Semantic MediaWiki as a part of an Industry 4.0 Landscape

•

1 like•1,139 views

Industry 4.0 is a project in the high-tech strategy of the German government, which promotes the computerization of traditional industries such as manufacturing. Technological basis are cyber-physical systems and the Internet of Things. In the United States, an initiative known as the Smart Manufacturing Leadership Coalition is also working on the future of manufacturing. How can SMW be part of an Industry 4.0 landscape?

Technology

SMW as a part of an Industry 4.0 Landscape
SMWCon Fall 2014

DDaattaa KKnnoowwlleeddggee
• Master Data Management
• Data Monitoring
• Data Cleansing
• Data Integration
IInnffoorrmmaattiioonn
• Business Intelligence
• Reporting & Dashboards
• Enterprise 2.0
• Workflow Automation
• Semantic Business Apps
• Semantic Search
• Ontology Engineering
• Enterprise 3.0
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 2

Industry 4.0
• Project in the high-tech strategy of the German government
• US: Smart Manufacturing Leadership Coalition (SMLC)
• Computerization of the manufacturing industry
• Goal: Smart Factory
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 3

Collective Intelligence
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 4
http://wordlesstech.com/2014/09/02/crazy-ant-behavior-collective-intelligence/

Use Cases
• machines that predict failures
• trigger maintenance processes autonomously
• self-organized logistics that react to unexpected changes in
the production
• mass customization
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 5

© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 6

Smart Factory
Communication of Smart Objects
Control
Room
Machine
Product
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 7

Passive Digital Object Memory (pDOM)
data on
server
each object
instance uniquely
identified
low cost
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 8

Active Digital Object Memory (aDOM)
• Microprocessor
• Memory
• Microsensor Systems
• Positioning Chips
• Radio Modules
• …
Cyber Physical
System
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 9
Sources: Wahlser, Orion Robotics, Wikipedia

Why Semantics?
Bits and Bytes Function Descriptions Factory Ontology
Sources: Wahlser
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 10

Standards
Process BPMN 2.0
OWL, OWL-S, RDF,
SPARQL, OMM++, USDL,
WSDL
OPC/UA, AMQP, MQTT
TCP/IP
Ethernet
Semantics,
Services
Interoperability,
Messaging
Communication
Mechatronics Plugs
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 11

High Level Architecture
Smart Factory
Product
Factory Service
aDOM
Memory
Directory
Self
Contained
Machine
Devices
Machine
Memory
Machine
Devices
Machine
Memory
Self
Contained
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 12

Business Integration
Process (BPMN 2)
Workflow
Engine
Adapter
Adapter
Cyber Physical
System
Messages
Adapter
Business
Software
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 13

AMQP based messaging
• Advanced Message Queuing Protocol
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 14

Pushing new data to SMW
Open Source ETL-Tool
calling MW API
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 15

gesinn.it GmbH & Co. KG
Am Koweiher 8f, 92521 Schwarzenfeld
Bruderwöhrdstr. 15b, 93055 Regensburg
+49 9435 65218-0
http://gesinn.it
@gesinn_it
© 2014 gesinn.it GmbH & Co. KG. All rights reserved. 16

NetApp has 25 years of experience delivering data management solutions to the automotive sector and works with major automotive companies worldwide. Their solutions offer massive non-disruptive scalability to meet growing data capacity and performance needs for years. FlexPod from NetApp and Cisco enables customers to focus on innovation rather than maintenance. NetApp is also certified for major big data platforms and has partnerships with leading ISVs for the automotive industry.

The vital role of AIOps in overcoming IT operational challenges - DEM07-SR - ...

Amazon Web Services

Digital transformation has sparked an IT service availability crisis in the enterprise, driven by unprecedented levels of infrastructure scale and complexity, rendering the traditional, rules-driven approach to incident management obsolete. Artificial intelligence for IT Operations, or AIOps, is a new direction for assuring service availability via operational data. In this talk, we show how AIOps gives enterprises a critical advantage and paves the way for the future of service assurance. We examine how adopting AIOps yields greater business agility while improving customer service, lowering operation costs, and boosting IT Ops teams’ productivity. This presentation is brought to you by AWS partner, Moogsoft Inc.

OpsRamp Summer 2019 Platform Update

OpsRamp

The Summer 2019 Release introduces OpsQ Observed Mode to build confidence in machine learning models for IT event and performance analysis. It also includes automated alert suppression to reduce human time spent on first-response to alerts, continuous learning-based alert escalation using live event data, and new infrastructure monitoring capabilities for cloud native environments. Watch our on-demand webinar to see all the new enhancements to the platform, including: OpsQ Observed Mode: OpsQ Observed Mode helps incident management teams assess the accuracy of the OpsRamp machine learning algorithms in a live production environment before they take effect. Learning-Based Auto-Alert Suppression: OpsQ looks for recurring alert patterns in production environments and suppresses those alerts that occur at a predictable cadence. OpsQ uses seasonality-based and attribute-based auto-alert suppression techniques as a first-response mechanism. Service and Topology Maps: The Summer 2019 Release introduces new impact visibility and service context features that deliver dynamic relationship data for public cloud services and actionable insights for understanding cross-site interconnections. Cloud Native Discovery and Monitoring: DevOps and site reliability engineering (SRE) teams can now monitor popular open source applications used in cloud native environments and access relevant performance insights for Mesosphere and Azure Stack in the OpsRamp platform Learn more at https://www.opsramp.com Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more: Twitter - https://www.twitter.com/OpsRamp LinkedIn - https://www.linkedin.com/company/opsramp Facebook - https://www.facebook.com/OpsRampHQ/

10 Good Reasons - NetApp AltaVault

NetAppUK

AltaVault by NetApp provides cloud backup and recovery solutions that enable customers to reduce costs and complexity while improving recovery capabilities. It supports all major cloud storage providers and platforms, and allows customers to easily move data between cloud providers. AltaVault offers end-to-end data encryption and flexible deployment options including physical, virtual, and cloud-based options on AWS or Azure. It is compatible with all leading backup software and can have customers up and running within 30 minutes.

Splunk at Gatwick Airport: From Road to Runway, how we use Business Analytics...

Splunk

OpsRamp Fall Release November 2020

OpsRamp

The document summarizes the Fall 2020 release of the OpsRamp IT operations platform. It highlights new features for discovery and monitoring, event and incident management, and remediation and automation. These include an auto-monitoring wizard, curated dashboards, expanded container and cloud monitoring, human interaction for automated workflows, and multi-instance loops. The webinar included demonstrations of these features and a discussion.

OpsRamp Platform Fall Release

OpsRamp

More control. More flexibility. Less chaos. The OpsRamp Fall Release includes enhancements to OpsQ, the OpsRamp artificial intelligence inference engine, that improves event management capabilities and intelligent correlation machine learning models, along with improved multi-cloud monitoring and much more. Watch this on-demand webinar and get to know all the platform enhancements including: OpsQ Inference Models: OpsRamp Fall 2019 release includes new ensemble learning capabilities that incorporate alert similarity to discover related alerts for faster troubleshooting and reduced downtime. Fine-Grained Observed Mode Widgets: OpsRamp Fall 2019 introduces widget enhancements that showcase potential alert reduction results for inferences created in Observed Mode. Improved Context Ingestion: OpsQ can ingest resource context via alerts from other IT operations management tools. Cloud Monitoring: Today OpsRamp delivers 100+ integrations for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The OpsRamp Fall 2019 Release includes new integrations with AWS services and GCP events for enhanced multi-cloud monitoring support. Synthetic Monitoring: Synthetics now lets customers pinpoint website outages to specific network routes. Custom Integration Framework: OpsRamp now makes it easy to build custom integrations using webhook authentication.

This document discusses semantic wikis and their advantages over traditional wikis. Semantic wikis add structured metadata to wiki pages, allowing knowledge to be made explicit and formal. This facilitates consensus over data, combines low-expressivity data authorship with traditional wiki features, and makes content more interoperable between systems. Semantic MediaWiki is highlighted as a popular open-source semantic wiki platform that extends MediaWiki with typed links and properties to add semantic structure.

Big data analytic platform

Jesse Wang

Agile lean workshop

Jesse Wang

This document outlines the agenda and content for a workshop on Lean-Agile-TDD principles and practices. The agenda includes introductions, discussions of Agile and Lean principles, Test-Driven Development (TDD), Scrum and Kanban methodologies, user story writing, effort estimation, and a hands-on Agile experience simulation. The workshop aims to get participants aligned on common Agile concepts and practices through explanation, examples, and an interactive experience planning and executing a sprint.

Social shopping with semantic power

Jesse Wang

Internet of things basics

cumulocity

Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...

COIICV

This document discusses Industry 4.0 and the digital transformation of industry. It describes key technological pillars like the Internet of Things, additive manufacturing, and data analytics. It provides examples of how these technologies can be applied through predictive maintenance and customized products. The document also introduces Atos Codex, an open industrial analytics platform that uses big data, high performance computing, and machine learning to deliver business insights and solutions.

IBM Industrie 4.0 journey @CeBIT

Plamen Kiradjiev

20150702 - Strategy and Business Value for connected appliances public version

Thorsten Schroeer

Thorsten Schroeer discusses the opportunities for appliance manufacturers in the Internet of Things. He outlines the key elements of a connected appliance strategy, including engaging consumers, integrating appliances into smart home experiences, enabling remote diagnostics and control, and ensuring security and compliance. Schroeer recommends appliance companies partner with proven IoT providers to help define architectures, design platforms, conduct testing, and deploy solutions that unlock business value from IoT data. He cautions companies to enter IoT carefully by building strong platforms, focusing on consumer and business needs, adopting open standards, and taking a global approach with local deployments.

VTT RobotDay 5.9. Harri Kuusela: DIH² ja L4MS hankkeiden tuki yrityksille

DIH²

This document discusses a project called L4MS that aims to accelerate the adoption of mobile robots in manufacturing logistics through an IoT platform and other services. The program provides funding, training, networking opportunities, and access to test environments for SMEs, systems integrators, and robotics companies to develop logistics automation solutions using the OPIL IoT platform and 3D simulation tools. Applicants can apply as consortia of 2-3 organizations, with the goal of submitting technical and business proposals to receive up to 247,000 euros in funding per project.

Modernizing the Manufacturing Industry with MQTT and Kafka

HiveMQ

Industry 4.0 and Smart Manufacturing are driving the manufacturing industry to modernize their software infrastructure. The current infrastructure is costly to maintain, creates barriers to sharing data, difficult to integrate with other systems and is limiting corporations to new opportunities promised by Industry 4.0. A key challenge to modernizing a manufacturing infrastructure is how do you integrate old existing systems with new modern systems. Apache Kafka and MQTT are uniquely positioned to provide the core technology to enable modernization of the manufacturing industry. This session will look at the unique business drivers for modernizing the manufacturing industry and how MQTT and Kafka can help make it a reality.

The connected enterprise. Is your business ready?

RoutecoMarketing

The document discusses the concept of a "Connected Enterprise" which utilizes real-time data from intelligent assets and infrastructure to provide the right people with information anywhere, anytime to improve operational effectiveness and decision making. It describes how a Connected Enterprise can improve agility, productivity, and sustainability through delivering real-time data from the source layer through the delivery layer to the presentation layer software. The Connected Enterprise is presented as giving businesses a competitive advantage through access to accurate and contextualized real-time data.

MongoDB IoT City Tour LONDON: Industrial Internet, Industry 4.0, Smart Factor...

MongoDB

The document discusses Industry 4.0 and the Industrial Internet. It describes how connecting physical devices and sensors to collect and analyze data (i.e. the Internet of Things) enables new applications and business models. The Bosch Software Innovations Suite is presented as a platform for developing IoT solutions, with capabilities for device management, business rules management, and process management. Examples of IoT applications are provided for asset tracking, supply chain monitoring, and remote patient monitoring.

MongoDB IoT CITY Tour EINDHOVEN: Bosch & Tech Mahindra: Industrial Internet, ...

MongoDB

All of these concepts are promising to transform the current industrial landscape by leveraging the IoT. In this presentation, Bosch, TechMahindra and MongoDB will present a concrete example that goes from concept to implementation. Learn how advanced hand-held tightening tools, user ID cards, wireless indoor localisation technology, M2M asset management and big data can be combined to form a powerful track and trace solution for advanced manufacturing requirements.

The sensor data challenge - Innovations (not only) for the Internet of Things

Stephan Reimann

Hannover messe presentation jing

Jing Deng

The document summarizes key topics from Hannover Messe 2017, including digital manufacturing, predictive maintenance, robots, and other technologies. For digital manufacturing, major companies like ABB, GE, and Siemens were developing platforms to connect physical equipment to the cloud and provide analytics. Predictive maintenance was also a major topic due to the industrial internet of things, with solutions focusing on monitoring equipment, detecting anomalies, and predicting failures. Various robot technologies were displayed including collaborative robots for tasks like loading/unloading, as well as mobile robots and humanoid robots.

Accelerating Operational Excellence with IT/OT Convergence

Panduit

Session 1908 connecting devices to the IBM IoT Cloud

PeterNiblett

IBM MessageSight and the IBM Internet of Things cloud enable connectivity across a wide variety of devices - from existing devices in silos and systems through the wide range of new devices that are appearing on a daily basis. This session covers patterns of connectivity, how to make it happen, including sending events like measurements and receiving of commands. The session goes into detail on how to use the industry standard MQ Telemetry Transport protocol to achieve this and encompasses best practices for topics and message format.

Automic Service Orchestration - Self Service Desk Automation

CA | Automic Software

- The document discusses implementing automation across various IT functions like service desks, virtual machines, application deployment, and storage/network to avoid "islands of automation" and provide an overarching architecture for integration. - It notes that while businesses wanted automated, self-service IT services, they still experienced delays and a lack of expected cost reductions. For IT, existing tools could not handle complex services or integrate across functions. - The document promotes Automic as a solution for "continuous service" through full-stack automation and orchestration across the entire IT lifecycle from development to operations to business users. It provides examples of automated processes for application deployment, service changes, and more.

CLASS 2016 - Palestra José Antunes

TI Safe

IoT Meetup September 2019

IoT Academy

Software AG's Cumulocity IoT platform provides capabilities for device connectivity and management, integration and APIs, data and analytics, and application enablement. It allows customers to remotely manage assets, lower costs through predictive maintenance, and make better decisions using real-time data analytics. The platform supports distributing analytics from cloud to edge to on-premises systems.

Viewers also liked

Smart datamining semtechbiz 2013 report

Jesse Wang

Smwcon spring2011 tutorial applied semantic mediawiki

Jesse Wang

Pre-SMWCon Spring 2012 meetup (short)

Jesse Wang

Big data analytic platform

Jesse Wang

Agile lean workshop

Jesse Wang

Social shopping with semantic power

Jesse Wang

Viewers also liked (6)

Smart datamining semtechbiz 2013 report

Smwcon spring2011 tutorial applied semantic mediawiki

Pre-SMWCon Spring 2012 meetup (short)

Big data analytic platform

Agile lean workshop

Social shopping with semantic power

Similar to Semantic MediaWiki as a part of an Industry 4.0 Landscape

Internet of things basics

cumulocity

Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...

COIICV

IBM Industrie 4.0 journey @CeBIT

Plamen Kiradjiev

20150702 - Strategy and Business Value for connected appliances public version

Thorsten Schroeer

VTT RobotDay 5.9. Harri Kuusela: DIH² ja L4MS hankkeiden tuki yrityksille

DIH²

Modernizing the Manufacturing Industry with MQTT and Kafka

HiveMQ

The connected enterprise. Is your business ready?

RoutecoMarketing

MongoDB IoT City Tour LONDON: Industrial Internet, Industry 4.0, Smart Factor...

MongoDB

MongoDB IoT CITY Tour EINDHOVEN: Bosch & Tech Mahindra: Industrial Internet, ...

MongoDB

The sensor data challenge - Innovations (not only) for the Internet of Things

Stephan Reimann

Hannover messe presentation jing

Jing Deng

Accelerating Operational Excellence with IT/OT Convergence

Panduit

Session 1908 connecting devices to the IBM IoT Cloud

PeterNiblett

Automic Service Orchestration - Self Service Desk Automation

CA | Automic Software

CLASS 2016 - Palestra José Antunes

TI Safe

IoT Meetup September 2019

IoT Academy

CA|Automic Live Melbourne 2017

Yihui (Ethan) Zhang

This document summarizes a presentation by Automic on the modern software factory. It discusses how every business is becoming a software business and the importance of software. It then presents the concept of the modern software factory as being agile, automated, driven by insights and having strong security. It emphasizes that the modern software factory can deliver applications at scale. The document provides examples of how organizations have benefited from implementing automation.

Industrial transformation-simplified-with-mqtt-and-sparkplug

HugoMller5

The document summarizes a presentation given by Dominik Obermaier, CTO and co-founder of HiveMQ. The presentation discussed how MQTT and Sparkplug can help simplify industrial transformation by providing a common language for devices and systems to communicate across manufacturing environments. Key points included how MQTT enables reliable and secure connectivity between devices, machines, and control systems at different levels. The Sparkplug specification further enhances MQTT by defining standard topic structures and payloads for industrial internet of things applications.

Agile Mumbai 2022 - Shwetank Sharad | Maintenance 4.0: Leveraging AI for Opti...

AgileNetwork

For linked in part 2 no template

Pankaj Tomar

This document discusses artificial intelligence and machine learning. It explains that deep learning is a key area of focus. It also outlines some fundamental components of an AI system including inputs, an inference engine, and outputs. Additionally, it discusses Google Cloud Platform's key AI components like TensorFlow, APIs for speech, video, vision, and translation. Finally, it provides examples of enterprise applications of AI in various industries.

Similar to Semantic MediaWiki as a part of an Industry 4.0 Landscape (20)

Internet of things basics

Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...

IBM Industrie 4.0 journey @CeBIT

20150702 - Strategy and Business Value for connected appliances public version

VTT RobotDay 5.9. Harri Kuusela: DIH² ja L4MS hankkeiden tuki yrityksille

Modernizing the Manufacturing Industry with MQTT and Kafka

The connected enterprise. Is your business ready?

MongoDB IoT City Tour LONDON: Industrial Internet, Industry 4.0, Smart Factor...

MongoDB IoT CITY Tour EINDHOVEN: Bosch & Tech Mahindra: Industrial Internet, ...

The sensor data challenge - Innovations (not only) for the Internet of Things

Hannover messe presentation jing

Accelerating Operational Excellence with IT/OT Convergence

Session 1908 connecting devices to the IBM IoT Cloud

Automic Service Orchestration - Self Service Desk Automation

CLASS 2016 - Palestra José Antunes

IoT Meetup September 2019

CA|Automic Live Melbourne 2017

Industrial transformation-simplified-with-mqtt-and-sparkplug

Agile Mumbai 2022 - Shwetank Sharad | Maintenance 4.0: Leveraging AI for Opti...

For linked in part 2 no template

Recently uploaded

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Tosin 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.

Azure API Management to expose backend services securely

Dinusha Kumarasiri

WeTestAthens: Postman's AI & Automation Techniques

Postman

June Patch Tuesday

Ivanti

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

AWS Cloud Cost Optimization Presentation.pptx

HarisZaheer8

This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.

Serial Arm Control in Real Time Presentation

tolgahangng

Building Production Ready Search Pipelines with Spark and Milvus

Zilliz

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Safe 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!

Recommendation System using RAG Architecture

fredae14

Finale of the Year: Apply for Next One!

GDSC PJATK

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf

flufftailshop

When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

Chart Kalyan

5th LF Energy Power Grid Model Meet-up Slides

DanBrown980551

5th Power Grid Model Meet-up It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology. Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. What to expect For the upcoming meetup we are organizing, we have an exciting lineup of activities planned: -Insightful presentations covering two practical applications of the Power Grid Model. -An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024. -An interactive brainstorming session to discuss and propose new feature requests. -An opportunity to connect with fellow Power Grid Model enthusiasts and users.

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

System Design Case Study: Building a Scalable E-Commerce Platform - Hiike

Hiike

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

panagenda

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

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

SitimaJohn

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.

Best 20 SEO Techniques To Improve Website Visibility In SERP

Pixlogix Infotech

GraphRAG for Life Science to increase LLM accuracy

Tomaz Bratanic

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

alexjohnson7307

Recently uploaded (20)

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Azure API Management to expose backend services securely

WeTestAthens: Postman's AI & Automation Techniques

June Patch Tuesday

AWS Cloud Cost Optimization Presentation.pptx

Serial Arm Control in Real Time Presentation

Building Production Ready Search Pipelines with Spark and Milvus

Driving Business Innovation: Latest Generative AI Advancements & Success Story

Recommendation System using RAG Architecture

Finale of the Year: Apply for Next One!

Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf

How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf

5th LF Energy Power Grid Model Meet-up Slides

Programming Foundation Models with DSPy - Meetup Slides

System Design Case Study: Building a Scalable E-Commerce Platform - Hiike

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

Ocean lotus Threat actors project by John Sitima 2024 (1).pptx

Best 20 SEO Techniques To Improve Website Visibility In SERP

GraphRAG for Life Science to increase LLM accuracy

leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...

Semantic MediaWiki as a part of an Industry 4.0 Landscape

1. SMW as a part of an Industry 4.0 Landscape SMWCon Fall 2014

2. DDaattaa KKnnoowwlleeddggee • Master Data Management • Data Monitoring • Data Cleansing • Data Integration IInnffoorrmmaattiioonn • Business Intelligence • Reporting & Dashboards • Enterprise 2.0 • Workflow Automation • Semantic Business Apps • Semantic Search • Ontology Engineering • Enterprise 3.0 © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 2

3. Industry 4.0 • Project in the high-tech strategy of the German government • US: Smart Manufacturing Leadership Coalition (SMLC) • Computerization of the manufacturing industry • Goal: Smart Factory © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 3

5. Use Cases • machines that predict failures • trigger maintenance processes autonomously • self-organized logistics that react to unexpected changes in the production • mass customization © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 5

9. Active Digital Object Memory (aDOM) • Microprocessor • Memory • Microsensor Systems • Positioning Chips • Radio Modules • … Cyber Physical System © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 9 Sources: Wahlser, Orion Robotics, Wikipedia

11. Standards Process BPMN 2.0 OWL, OWL-S, RDF, SPARQL, OMM++, USDL, WSDL OPC/UA, AMQP, MQTT TCP/IP Ethernet Semantics, Services Interoperability, Messaging Communication Mechatronics Plugs © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 11

12. High Level Architecture Smart Factory Product Factory Service aDOM Memory Directory Self Contained Machine Devices Machine Memory Machine Devices Machine Memory Self Contained © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 12

16. gesinn.it GmbH & Co. KG Am Koweiher 8f, 92521 Schwarzenfeld Bruderwöhrdstr. 15b, 93055 Regensburg +49 9435 65218-0 http://gesinn.it @gesinn_it © 2014 gesinn.it GmbH & Co. KG. All rights reserved. 16

Semantic MediaWiki as a part of an Industry 4.0 Landscape

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (6)

Similar to Semantic MediaWiki as a part of an Industry 4.0 Landscape

Similar to Semantic MediaWiki as a part of an Industry 4.0 Landscape (20)

Recently uploaded

Recently uploaded (20)

Semantic MediaWiki as a part of an Industry 4.0 Landscape