The document discusses civic hacking and how open source and open data can lead to better government. It explains that high quality raw data should be available in JSON, XML or CSV formats and through RESTful APIs. It also notes that MongoDB is used to store results from data scraping and provides RESTful JSON APIs. An example is given of querying a Drumbone API to return specific fields from a legislator record including earmark amounts and numbers. The assistant is thanked for its work and directed to Sunlight Labs for more information.
The document discusses using MongoDB to enable open government data. It describes how MongoDB can gather data from various sources and serve it through RESTful JSON APIs. MongoDB's flexible schema allows data to be stored in a format that closely matches the native structure without needing to transform it. This flexibility also enables the storage of custom fields without changing the database schema. Three open data projects are highlighted that use MongoDB: Poligraft, the Real Time Congress API, and the Open State Project.
Journalists can use Google's advanced search operators to more effectively mine information from social networks than searching the social networks directly. Some key operators include "site:" to restrict a search to a specific domain, "inurl:" to search for terms within URLs, and "intitle:" to search for terms within page titles. Using these operators along with relevant search terms allows journalists to efficiently search profiles and pages on networks like Bebo, Friendster, LiveJournal, MySpace, LinkedIn and uncover new leads, case studies, and expert sources for their reporting.
This document discusses MongoDB and its use by Sunlight Foundation for three open data projects: the National Data Catalog, Real-Time Congress API, and Open State Project. MongoDB allows storing disparate data sources and formats in a schemaless manner. This enables aggregating large amounts of raw data and serving it through lightweight RESTful APIs. The document provides examples of congressional data stored and filtered in MongoDB.
Luigi Montanez gave a presentation on civic hacking at the LA RubyConf 2010 conference. He recruited software developers to use their skills to make government more transparent by creating applications and websites that analyze open data from different levels of government. Some examples he provided included APIs that provide information about members of Congress, campaign contributions, bills, and voting records in order to enhance civic participation and democracy.
The document discusses recruiting civic coders to build applications that use open government data to promote civic engagement and participatory democracy. It provides examples of government data sources and APIs that could be used, and encourages connecting with open government communities and submitting applications to civic hacking competitions for funding opportunities. The overall message is a call to action for developers to use their skills to build tools that make politics and governance more transparent, accessible and improve people's lives locally.
The document promotes civic engagement through coding and building apps using open government data. It encourages recruiting coders to build apps for issues like improving local government services. It describes Sunlight Foundation's work with open data and APIs and their Apps for America competition for civic apps, with a $30,000 total prize pool. Coders are urged to get involved by joining the open source community or submitting an app to the competition.
The document summarizes a presentation given by Alex Borysov and Mykyta Protsenko comparing gRPC and REST. It provides an overview of gRPC, describing it as a high performance RPC framework. It then discusses some issues with REST including heterogeneous data formats and service discovery. Examples are given of implementing a sample aggregator service using both REST and gRPC to illustrate their differences.
Search-Friendly Web Development at RubyNationLuigi Montanez
This document discusses search engine optimization (SEO) best practices. It covers the search engine pipeline of crawling, indexing, and ranking pages. It provides tips for improving discoverability through sitemaps and internal linking, as well as guidelines for optimizing content, titles, and metadata to influence search engine rankings. The key takeaways are to think like a searcher, create a sitemap, optimize titles, use Google Webmaster Tools, and follow advice from search engine blogs.
The document discusses using MongoDB to enable open government data. It describes how MongoDB can gather data from various sources and serve it through RESTful JSON APIs. MongoDB's flexible schema allows data to be stored in a format that closely matches the native structure without needing to transform it. This flexibility also enables the storage of custom fields without changing the database schema. Three open data projects are highlighted that use MongoDB: Poligraft, the Real Time Congress API, and the Open State Project.
Journalists can use Google's advanced search operators to more effectively mine information from social networks than searching the social networks directly. Some key operators include "site:" to restrict a search to a specific domain, "inurl:" to search for terms within URLs, and "intitle:" to search for terms within page titles. Using these operators along with relevant search terms allows journalists to efficiently search profiles and pages on networks like Bebo, Friendster, LiveJournal, MySpace, LinkedIn and uncover new leads, case studies, and expert sources for their reporting.
This document discusses MongoDB and its use by Sunlight Foundation for three open data projects: the National Data Catalog, Real-Time Congress API, and Open State Project. MongoDB allows storing disparate data sources and formats in a schemaless manner. This enables aggregating large amounts of raw data and serving it through lightweight RESTful APIs. The document provides examples of congressional data stored and filtered in MongoDB.
Luigi Montanez gave a presentation on civic hacking at the LA RubyConf 2010 conference. He recruited software developers to use their skills to make government more transparent by creating applications and websites that analyze open data from different levels of government. Some examples he provided included APIs that provide information about members of Congress, campaign contributions, bills, and voting records in order to enhance civic participation and democracy.
The document discusses recruiting civic coders to build applications that use open government data to promote civic engagement and participatory democracy. It provides examples of government data sources and APIs that could be used, and encourages connecting with open government communities and submitting applications to civic hacking competitions for funding opportunities. The overall message is a call to action for developers to use their skills to build tools that make politics and governance more transparent, accessible and improve people's lives locally.
The document promotes civic engagement through coding and building apps using open government data. It encourages recruiting coders to build apps for issues like improving local government services. It describes Sunlight Foundation's work with open data and APIs and their Apps for America competition for civic apps, with a $30,000 total prize pool. Coders are urged to get involved by joining the open source community or submitting an app to the competition.
The document summarizes a presentation given by Alex Borysov and Mykyta Protsenko comparing gRPC and REST. It provides an overview of gRPC, describing it as a high performance RPC framework. It then discusses some issues with REST including heterogeneous data formats and service discovery. Examples are given of implementing a sample aggregator service using both REST and gRPC to illustrate their differences.
Search-Friendly Web Development at RubyNationLuigi Montanez
This document discusses search engine optimization (SEO) best practices. It covers the search engine pipeline of crawling, indexing, and ranking pages. It provides tips for improving discoverability through sitemaps and internal linking, as well as guidelines for optimizing content, titles, and metadata to influence search engine rankings. The key takeaways are to think like a searcher, create a sitemap, optimize titles, use Google Webmaster Tools, and follow advice from search engine blogs.
Civic hacking involves using open government data and open source tools to build useful applications for citizens and governments. It encourages entrepreneurs to create solutions that can help cities and countries by tapping into freely available public data. The document promotes an upcoming civic hacking event called an Open Government Hackathon and encourages people to get involved in civic hacking by using open data to build applications that can benefit their community.
Civic hacking involves using open government data and open source tools to build useful applications for citizens and governments. It encourages entrepreneurs to create solutions that can help cities and countries by tapping into freely available public data. The document promotes an upcoming civic hacking event called an Open Government Hackathon and urges readers to get involved in open government initiatives and become civic hackers themselves.
Civic coding uses open data and open source tools to build useful applications for government and citizens. It encourages entrepreneurs to create solutions for cities by accessing and using publicly available government data through hackathons and coding events. This supports open government initiatives and allows people to contribute to their communities through technology.
Search-Friendly Web Development @ Ruby|Web Conference 2010Luigi Montanez
This document discusses search engine optimization (SEO) and provides tips for improving a site's ranking in search engines. It recommends focusing on user experience over manipulation, following best practices like using semantic HTML and readable URLs, and using tools from Google, Bing and Yahoo to monitor how search engines interact with your site. The key takeaways are to think like a searcher, optimize page titles, use Google Webmaster Tools, and read the Google Webmaster Blog.
Search-Friendly Web Development @ Lone Star Ruby Conference 2010Luigi Montanez
This document discusses search engine optimization (SEO). It provides the following key points:
1. Google accounts for over 65% of search engine market share, followed by Bing and Yahoo. Good SEO practices like optimizing page titles, using headings appropriately, and submitting sitemaps can help sites rank higher organically in search results.
2. SEO is about usability, not tricks. The document recommends following Google's guidelines and conventions, using user-centric design principles, and prioritizing page speed.
3. Key elements of the search engine pipeline that SEO affects include crawling pages through links and sitemaps, indexing page content and metadata, and ranking pages based on best matching
Search-Friendly Web Development @ DC RUG - August 2010Luigi Montanez
This document discusses search engine optimization (SEO). It provides the following key points:
1. The main factors search engines consider when crawling, indexing, and ranking pages are things like sitemap.xml files, page titles, meta descriptions, headings, and unique content that is relevant to the page.
2. Common SEO mistakes to avoid include redirects that confuse crawlers, non-accessible content, and dynamically changing content based on location.
3. Tools like Google Webmaster Tools, Bing Webmaster Tools, and Yahoo Site Explorer can help optimize pages for search engines. The document emphasizes thinking like a searcher and using best practices like descriptive page titles.
Civic hacking involves using open government data and open source software to build useful applications for citizens. By developing applications using publicly available data and code, civic hackers can help make government more transparent and help citizens engage with their communities. The document promotes civic hacking as a way for individuals to contribute to their country by building digital tools that utilize open data.
This document promotes civic hacking and open data/government initiatives by highlighting existing projects like FlyOnTime.us and QuakeSpotter, and quoting President Kennedy's call to public service. It suggests becoming a civic hacker by visiting sunlightlabs.com and following @LuigiMontanez on social media. A list of programming terms is included but not otherwise explained.
Luigi Montanez discusses civic hacking, which involves using technology and open data to build tools that increase government transparency and civic participation. He outlines some guiding principles like using open source and open data to build better government tools as side projects. He then provides examples of available government APIs and data related to the federal government, courts, states, and cities that could be used for civic hacking projects. Finally, he discusses the project lifecycle and deployment options for civic hacking projects, particularly using Google App Engine.
Thin is a Ruby web server that is a replacement for Mongrel. It glues together the Mongrel parser, EventMachine, and Rack libraries to provide a more actively developed and nicer to use web server for Ruby applications like Rails. Thin can be started by installing the required gems and running the thin start command. It supports both development and production deployment through command line flags and configuration files.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Civic hacking involves using open government data and open source tools to build useful applications for citizens and governments. It encourages entrepreneurs to create solutions that can help cities and countries by tapping into freely available public data. The document promotes an upcoming civic hacking event called an Open Government Hackathon and encourages people to get involved in civic hacking by using open data to build applications that can benefit their community.
Civic hacking involves using open government data and open source tools to build useful applications for citizens and governments. It encourages entrepreneurs to create solutions that can help cities and countries by tapping into freely available public data. The document promotes an upcoming civic hacking event called an Open Government Hackathon and urges readers to get involved in open government initiatives and become civic hackers themselves.
Civic coding uses open data and open source tools to build useful applications for government and citizens. It encourages entrepreneurs to create solutions for cities by accessing and using publicly available government data through hackathons and coding events. This supports open government initiatives and allows people to contribute to their communities through technology.
Search-Friendly Web Development @ Ruby|Web Conference 2010Luigi Montanez
This document discusses search engine optimization (SEO) and provides tips for improving a site's ranking in search engines. It recommends focusing on user experience over manipulation, following best practices like using semantic HTML and readable URLs, and using tools from Google, Bing and Yahoo to monitor how search engines interact with your site. The key takeaways are to think like a searcher, optimize page titles, use Google Webmaster Tools, and read the Google Webmaster Blog.
Search-Friendly Web Development @ Lone Star Ruby Conference 2010Luigi Montanez
This document discusses search engine optimization (SEO). It provides the following key points:
1. Google accounts for over 65% of search engine market share, followed by Bing and Yahoo. Good SEO practices like optimizing page titles, using headings appropriately, and submitting sitemaps can help sites rank higher organically in search results.
2. SEO is about usability, not tricks. The document recommends following Google's guidelines and conventions, using user-centric design principles, and prioritizing page speed.
3. Key elements of the search engine pipeline that SEO affects include crawling pages through links and sitemaps, indexing page content and metadata, and ranking pages based on best matching
Search-Friendly Web Development @ DC RUG - August 2010Luigi Montanez
This document discusses search engine optimization (SEO). It provides the following key points:
1. The main factors search engines consider when crawling, indexing, and ranking pages are things like sitemap.xml files, page titles, meta descriptions, headings, and unique content that is relevant to the page.
2. Common SEO mistakes to avoid include redirects that confuse crawlers, non-accessible content, and dynamically changing content based on location.
3. Tools like Google Webmaster Tools, Bing Webmaster Tools, and Yahoo Site Explorer can help optimize pages for search engines. The document emphasizes thinking like a searcher and using best practices like descriptive page titles.
Civic hacking involves using open government data and open source software to build useful applications for citizens. By developing applications using publicly available data and code, civic hackers can help make government more transparent and help citizens engage with their communities. The document promotes civic hacking as a way for individuals to contribute to their country by building digital tools that utilize open data.
This document promotes civic hacking and open data/government initiatives by highlighting existing projects like FlyOnTime.us and QuakeSpotter, and quoting President Kennedy's call to public service. It suggests becoming a civic hacker by visiting sunlightlabs.com and following @LuigiMontanez on social media. A list of programming terms is included but not otherwise explained.
Luigi Montanez discusses civic hacking, which involves using technology and open data to build tools that increase government transparency and civic participation. He outlines some guiding principles like using open source and open data to build better government tools as side projects. He then provides examples of available government APIs and data related to the federal government, courts, states, and cities that could be used for civic hacking projects. Finally, he discusses the project lifecycle and deployment options for civic hacking projects, particularly using Google App Engine.
Thin is a Ruby web server that is a replacement for Mongrel. It glues together the Mongrel parser, EventMachine, and Rack libraries to provide a more actively developed and nicer to use web server for Ruby applications like Rails. Thin can be started by installing the required gems and running the thin start command. It supports both development and production deployment through command line flags and configuration files.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
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 .
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.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
6. High Quality Raw Data
✴ First: Raw data in JSON, XML, or CSV
Question? @LuigiMontanez
7. High Quality Raw Data
✴ First: Raw data in JSON, XML, or CSV
✴ Second: RESTful APIs in JSON or XML
Question? @LuigiMontanez
8. High Quality Raw Data
✴ First: Raw data in JSON, XML, or CSV
✴ Second: RESTful APIs in JSON or XML
✴ Third: Nothing really...
Question? @LuigiMontanez
I work for the Sunlight Labs, a group of developers and designers who use technology to transform government. We focus on transparency -- the idea that government can be more effective and more accountable when it makes data about its process, operations, and influences freely available to the public. Our work revolves around pushing government to open up its data, and then creating incredibly useful applications on top of that government data.
We're creating an open source community around these ideas. So far, we have over a thousand members -- people committed to the idea that freeing data and writing code is the best way to make government better. I'm one of sixteen paid staff of the Sunlight Labs, and we're all employed by the Sunlight Foundation, based in Washington, D.C.
We want government to make more data about itself public. How it spends money. How it collects money. Where campaign contributions come from and how campaign money is spent. We want government agencies and departments who generate statistical economic data and scientific data for their own use to make that data public for all of us to use. That means well-structured, well-documented data published online and in real-time. That's what we want out of government transparency.
Sometimes the phrase government data scares people, because it might conjure up thoughts of personally identifiable data, or classified national security data. That's not what we're trying to open up. We're talking about data that can be made public with compromising anyone's safety.
Something important to note is that we're not asking government to build some great, ground-breaking app. We're not asking them to invent the next Twitter, or have the creative energy of a startup.
We're just asking them to publish government data, data that has been paid for by tax dollars, in an open, well-documented format. They open up the data, then we build the apps around that data.
So we believe that government's first and primary goal should be to publish its data in well-documented, widely-accepted formats: XML, JSON, CSV. Second, government should build APIs to allow us to get to that data programmatically, without having to keep up to date on downloaded data files.
That's really all we want from government: open data sets and open APIs. When government starts building things with that data, they start to editorialize it, and enforce their opinions. We all know that even statistics can be molded to support pretty much any argument. But raw data is as close to an objective truth as we can get.
So we believe that government's first and primary goal should be to publish its data in well-documented, widely-accepted formats: XML, JSON, CSV. Second, government should build APIs to allow us to get to that data programmatically, without having to keep up to date on downloaded data files.
That's really all we want from government: open data sets and open APIs. When government starts building things with that data, they start to editorialize it, and enforce their opinions. We all know that even statistics can be molded to support pretty much any argument. But raw data is as close to an objective truth as we can get.
So we believe that government's first and primary goal should be to publish its data in well-documented, widely-accepted formats: XML, JSON, CSV. Second, government should build APIs to allow us to get to that data programmatically, without having to keep up to date on downloaded data files.
That's really all we want from government: open data sets and open APIs. When government starts building things with that data, they start to editorialize it, and enforce their opinions. We all know that even statistics can be molded to support pretty much any argument. But raw data is as close to an objective truth as we can get.
Fly On Time looks at the flight records compiled by the FAA, the Federal Aviation Administration, and tells you the likelihood of your particular flight being delayed, and some historic trends for your route and for your airport.
Here’s an example.
The National Geological Survey keeps track of earthquakes around the world, and Quakespotter is a 3D modeling of the globe with recent earthquakes. The data is very recent, sometimes only minutes old. The circles represent earthquakes and their magnitude is reflected by their radius. This is a desktop app that runs on Ruby Processing, and it won the contest’s best visualization prize.
Late last year, New York City held the Big Apps competition. Earlier in the fall, they released about a hundred data sets in what they called the DataMine, and put up $20,000 in prize money for developers. Here are some winners.
WayFinder is an augmented reality app for Android. It uses geolocation, the phone’s compass, and MTA transit data to point the user to the direction of the nearest subway station.
TaxiHack uses the city's taxi driver database to allow riders to tweet and email notes about their rides. Feedback positive and negative.
Big Apple Ed uses performance data about the NYC school system to help parents find the best school for their children. Yes, this one is a Rails app!