This document discusses the liberation of data through scraping and linking disparate data sources. It outlines the evolution from data catalogs to data management systems that allow scraping of web pages to extract machine-readable data. Common identifiers are important for joining datasets from different sources to create linked data. While scraping may be quick and dirty, it allows breathing life into locked up data.
NADA originally developed to support the establishment of national survey data archives.NADA is a web-based cataloguing system that serves as a portal for researchers to browse, search, compare, apply for access, and download relevant census or survey information. It was originally developed to support the establishment of national survey data archives. Promotes equal access and broad use of microdata, to foster diversity and quality of research work The application is used by a diverse and growing number of national, regional, and international organizations. NADA, as with other IHSN tools, uses the Data Documentation Initiative (DDI), XML-based international metadata standard.
NADA originally developed to support the establishment of national survey data archives.NADA is a web-based cataloguing system that serves as a portal for researchers to browse, search, compare, apply for access, and download relevant census or survey information. It was originally developed to support the establishment of national survey data archives. Promotes equal access and broad use of microdata, to foster diversity and quality of research work The application is used by a diverse and growing number of national, regional, and international organizations. NADA, as with other IHSN tools, uses the Data Documentation Initiative (DDI), XML-based international metadata standard.
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsEmily Nimsakont
Presented at the Spring Meeting of the Nebraska Library Association's Intellectual Freedom Round Table and Technical Services Round Table, Marc 6 ,2015
A presentation given at the "Data Stewardship: Increasing the Integrity and Effectiveness of Science and Scholarship" Session on Friday, June 8 2012 at the IASSIT 2012 conference in Washington DC.
This presentation introduced data publishing, using a social science (archaeology) case study to explore editorial processes and dissemination outcomes that increasingly demand “Linked Data” capabilities.
Holistic approach to analysis of different data models, databases and database management systems. Examining tabular, hierarchical, relational, textual, dimensional, graph, spatial, multimedia and other types of data and their specifics.
NISO Virtual Conference: BIBFRAME & Real World Applications of Linked Bibliographic Data
http://www.niso.org/news/events/2016/virtual_conference/jun15_virtualconf/
June 15, 2016
Opening Keynote: Landscape and Current Status of BIBFRAME and Related Initiatives
NISO Virtual Conference: BIBFRAME & Real World Applications of Linked Bibliographic Data
http://www.niso.org/news/events/2016/virtual_conference/jun15_virtualconf/
June 15, 2016
Opening Keynote: Landscape and Current Status of BIBFRAME and Related Initiatives
ECS2019 - Managing Content Types in the Modern WorldMarc D Anderson
When the order of the day was huge, pyramid-shaped Site Collections for capabilities like Intranets, managing your Content Types was relatively easy: any Site Columns and Content Types you built in the root site were available throughout the Site Collection. When we needed more enterprise-wide information architecture, we turned to the Content Type Hub. In our new, flatter world, we need to think about information architecture differently – while hanging onto the better practices of the past.
Towards collaboration at scale: Libraries, the social and the technicallisld
Libraries are now supporting research and learning behaviors in data rich network environments. This presentation looks at some examples focusing on how an emphasis on individual systems needs to give way to a broader view of process, workflow and behaviors.
It also discusses how this environment creates a demand for collaboration at scale among libraries.
Promises and Pitfalls: Linked Data, Privacy, and Library CatalogsEmily Nimsakont
Presented at the Spring Meeting of the Nebraska Library Association's Intellectual Freedom Round Table and Technical Services Round Table, Marc 6 ,2015
A presentation given at the "Data Stewardship: Increasing the Integrity and Effectiveness of Science and Scholarship" Session on Friday, June 8 2012 at the IASSIT 2012 conference in Washington DC.
This presentation introduced data publishing, using a social science (archaeology) case study to explore editorial processes and dissemination outcomes that increasingly demand “Linked Data” capabilities.
Holistic approach to analysis of different data models, databases and database management systems. Examining tabular, hierarchical, relational, textual, dimensional, graph, spatial, multimedia and other types of data and their specifics.
NISO Virtual Conference: BIBFRAME & Real World Applications of Linked Bibliographic Data
http://www.niso.org/news/events/2016/virtual_conference/jun15_virtualconf/
June 15, 2016
Opening Keynote: Landscape and Current Status of BIBFRAME and Related Initiatives
NISO Virtual Conference: BIBFRAME & Real World Applications of Linked Bibliographic Data
http://www.niso.org/news/events/2016/virtual_conference/jun15_virtualconf/
June 15, 2016
Opening Keynote: Landscape and Current Status of BIBFRAME and Related Initiatives
ECS2019 - Managing Content Types in the Modern WorldMarc D Anderson
When the order of the day was huge, pyramid-shaped Site Collections for capabilities like Intranets, managing your Content Types was relatively easy: any Site Columns and Content Types you built in the root site were available throughout the Site Collection. When we needed more enterprise-wide information architecture, we turned to the Content Type Hub. In our new, flatter world, we need to think about information architecture differently – while hanging onto the better practices of the past.
Towards collaboration at scale: Libraries, the social and the technicallisld
Libraries are now supporting research and learning behaviors in data rich network environments. This presentation looks at some examples focusing on how an emphasis on individual systems needs to give way to a broader view of process, workflow and behaviors.
It also discusses how this environment creates a demand for collaboration at scale among libraries.
Linked data for Libraries, Archives, Museumsljsmart
General introduction to Linked Data concepts presented to Maryland Library Association Technical Services Division at "Tech Services on the Edge" forum
Library discovery: past, present and some futureslisld
A presentation at the NISO virtual conference on Webscale Discovery Services, 20 November 2013.
Considers some of the issues that have led to the adoption of these services, and some future directions.
Distinguishes between discovery (providing a library destination) and discoverability (making stuff discoverable elsewhere).
Linked Open Data Libraries Archives Museums. This presentation is a basic overview of what LOD is and what technologies are needed to ensure the metadata around your collections is machine readable.
Research institutions, governments and sometimes even the industry are promoting a way to publish data that conforms to principles of openness such as being Findable, Accessible, Interoperable and Reusable.
These principles can be adhered to in a multitude of ways: Linked Open Data is one of them; it is favoured by scientific communities, but its adoption is not limited to research contexts. In this talk I will provide an account of how my research projects enjoyed the benefits of being on either side of the FAIR data supply chain.
morning session talk at the second Keystone Training School "Keyword search in Big Linked Data" held in Santiago de Compostela.
https://eventos.citius.usc.es/keystone.school/
Presentation about - Semantic Web - Overview -Semantic Web
Web of Data, Giant Global Graph, Data Web, Web 3.0, Linked Data Web, Semantic Data Web, Enterprise Information Web, HTML, CSS,
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Essentials of Automations: Optimizing FME Workflows with Parameters
Data Liberation - Tony Hirst
1. DATA LIBERATION
Opening Up Data by Hook
or by Crook - Data
Scraping, Linkage and the
Value of a Good Identifier
Tony Hirst
Department of Communication
and Systems
The Open University
Tony HirstTwitter:@psychemediaBlog: http://blog.ouseful.infoPresentation prepared for: Online Info 12/11/2012DATA LIBERATION: OPENING UP DATA BY HOOK OR BY CROOK - DATA SCRAPING, LINKAGE AND THE VALUE OF A GOOD IDENTIFIERThe 1/9/90 rule is often used to characterise the way in which a small number of creators generate content that a larger number (but still small percentage in the greater scheme of things) comment on or amplify, whilst the majority just passively consume. In this presentation, I will explore the extent to which a similar view applies to the world of "data liberation". After reviewing the idea of data scraping, and some of the techniques surrounding it, I will describe how online tools such as Scraperwiki provide a platform for concentrating data scraping activity and expertise, as well as supporting the publication of data /as data/ in a variety of formats, in addition to 'end user' views in the form of graphical charts and interactive visualisations.One of the major motivations for data scraping is the aggregation of data from a variety of data sources into a larger, integrated whole. For example, the aggregation of research council funding data from separate research councils allows us to view a large proportion of the publicly funded research grants received by a single institution; or the collection of local council spending data across all UK councils allows us to see how councils spend money with each other across a range of transaction areas. But how do we actually create such aggregations when the data is sourced from different areas? In order to do this, we need to know when different datasets are actually talking about the same thing, which is where common identifiers come in. For it is surely the case that when we have common identifiers, we can have linkage, and as a result start to realise some of the benefits of Linked Data (as well as developing a wider appreciation of what those benefits might actually be...) (As an aside, I'll describe how we might go about deriving such identifiers when they are missing from a data set that might otherwise, or more conveniently, be expected to publish them.)Throughout the presentation, I will draw on practical examples of how aggregated "liberated" data has been used as the basis of wider interest, and even status quo disrupting, services, as well as reflecting on what other sources of data we might see the data liberators turning their attention to next...Key learning points:1 - What is "data scraping", how can I do it and is my website at risk of it?2 - Why the secret to understanding "Linked Data" is the very idea of it, not just (or not even) the technology.3 - How has data scraping been used to "open up" data in actual practice?
The focus on this presentation is not the release of “information”, but the release of data in raw form so that it can be interpreted and presented in informative ways by other parties.
The London Datastore is an early example of a council-centric open data website. Early signs suggest it is natural to locate data websites at addresses of the form data.COUNCILNAME.gov.uk or www.COUNCILNAME.gov.uk/data
Another example that demonstrates how CSV can be used to help data flow is demonstrated by Google Spreadsheets. The =importData formula allows a user to specify a source data URL, and pull the CSV data found at that location in to the spreadsheet. Unlike Many Eyes Wikified, if the source data at the URL is updated, the updated will (eventually) be pulled into the spreadsheet automatically.
One of the really good reasons for getting data into a data processing environment such as a spreadsheet is that you can start to work it. In the case of Google Spreadsheets, the spreadsheet environment can also be used as a database environment. That is, we can treat one or more data containing sheets in a spreadsheet as a database, and generate new views over the data, as well as running queries over that data.
Another way of using a Google Spreadsheet as a database is via the Google Spreadsheets API. The GoogleVisualisation API (?) provides a way of passing queries written using the Google ???viz query language from an arbitrary web page or web application, and receiving the resulting data in a standard JSON based format, which also happens to play nicely with the Google Visualisation API???The Guardian Datastore explorer is a crude demonstration for 2009(??) demonstrating how data from the Guardian datastore, data that is stored across a range of Google spreadsheets, can be explored , queried and visualised via these APIs. Users can select a dataset from a drop down menu, fed from a delicious account to which various datastore spreadsheets have been bookmarked using a particular set of tags, or by pasting in the URL of an arbitrary (public) Google spreadsheet. The first row/headings of the data can then be previewed (a simple spreadsheet is assumed, in which column headings appear In the first row of the spreadsheet).
A series of list boxes are then populated with the column labels and there names, and provide a certain amount of help for the creation of a query over the spreadsheet data. A range of output formats can also be selected, from simple HTML data tables, to a range of charts. URLs are also generated for HTML and CSV representations of the data returned from the query.
One of the nice things about the data table widget (a standard GoogleVisualisation API component in this case, though similar examples exist for YUI, the Yahoo User Interface Libraries, or frameworks such as JQuery), is that is supports things like row sorting by column, (for free – no programming required!), allowing even further manipulation of the data, albeit at a simplistic level.(It’s probably worth pointing out here that it may be worth providing a preview of the column headings and first few rows (or a sample of random rows) of data when datasets are published, just so that users can see what sort of data is on offer without having to download the whole data set?)
If you’re in the business of selling information as data, you are under threat where that information is published in an openly licensed way.
Linked Data – the TM is something of a joke and refers to the particular style of publishing data according to set of principles first outlined by the inventor of the World Wide Web, Sir Tim Berners Lee – is one of the data formats that the Government’s data task force favour for the publication of data.
There is a problem though – at the moment, there are barriers to entry to Linked Data world from both the query side (not many people speak SPARQL, or know how to construct a SPARQL query to an endpoint) and the results side (data is returned as RDF).