Evolving social data mining and affective analysis Athena Vakali
Evolving social data mining and affective analysis methodologies, framework and applications - Web 2.0 facts and social data
Social associations and all kinds of graphs
Evolving social data mining
Emotion-aware social data analysis
Frameworks and Applications
The Road to Open Data Enlightenment Is Paved With Nice ExcusesToon Vanagt
The road to open data enlightenment is paved with nice excuses! These slides include 11 open data revenue models for government agencies who 'pragmatically' need to keep generating revenues being 'authentic sources'. This presentation was delivered by Toon Vanagt from https://data.be as the opening keynote of the 'opening-up' conference in Brussels on 3/12/2014.
The majority of today's business and leisure travel is booked online. The post-booking experience typically leaves travelers with the predicament of gathering together important trip data (flight numbers, hotel address, rental car confirmation number, frequent travel program identification, check-in time, etc.) that is dispersed throughout several booking confirmation emails. Join Andy Denmark, VP of Engineering at TripIt and explore how semantic technology has transformed this unstructured data into a structured travel itinerary and revolutionized the post-booking travel experience. Additional discussion will examine semantic technology and the future of travel, with a focus on the implications for individual travelers and corporate travel programs.
Engines of Order. Social Media and the Rise of Algorithmic Knowing.Bernhard Rieder
Talk given at the Social Media and the Transformation of Public Space Conference on June 19 at the University of Amsterdam. References and comments are in the notes section.
Presentation by Mike Saunt, Founder, Astun Technology at PSFBuzz North East: Effective Social Networking & Web 2.0 Strategies for Local Authorities - a Public Sector Forums conference, 7 July 2009, Newcastle upon Tyne.
Evolving social data mining and affective analysis Athena Vakali
Evolving social data mining and affective analysis methodologies, framework and applications - Web 2.0 facts and social data
Social associations and all kinds of graphs
Evolving social data mining
Emotion-aware social data analysis
Frameworks and Applications
The Road to Open Data Enlightenment Is Paved With Nice ExcusesToon Vanagt
The road to open data enlightenment is paved with nice excuses! These slides include 11 open data revenue models for government agencies who 'pragmatically' need to keep generating revenues being 'authentic sources'. This presentation was delivered by Toon Vanagt from https://data.be as the opening keynote of the 'opening-up' conference in Brussels on 3/12/2014.
The majority of today's business and leisure travel is booked online. The post-booking experience typically leaves travelers with the predicament of gathering together important trip data (flight numbers, hotel address, rental car confirmation number, frequent travel program identification, check-in time, etc.) that is dispersed throughout several booking confirmation emails. Join Andy Denmark, VP of Engineering at TripIt and explore how semantic technology has transformed this unstructured data into a structured travel itinerary and revolutionized the post-booking travel experience. Additional discussion will examine semantic technology and the future of travel, with a focus on the implications for individual travelers and corporate travel programs.
Engines of Order. Social Media and the Rise of Algorithmic Knowing.Bernhard Rieder
Talk given at the Social Media and the Transformation of Public Space Conference on June 19 at the University of Amsterdam. References and comments are in the notes section.
Presentation by Mike Saunt, Founder, Astun Technology at PSFBuzz North East: Effective Social Networking & Web 2.0 Strategies for Local Authorities - a Public Sector Forums conference, 7 July 2009, Newcastle upon Tyne.
The Pew Research Center’s Internet & American Life Project and Elon University’s Imagining the Internet Center asked digital stakeholders to weigh two scenarios for 2020, select the one most likely to evolve, and elaborate on the choice. One sketched out a relatively positive future where Big Data are drawn together in ways that will improve social, political, and economic intelligence. The other expressed the view that Big Data could cause more problems than it solves between now and 2020
Get customer insights and track behaviour using social media data.
Fagligt Oplæg om ‘Big Data & Social Media’ med fokus på, hvordan man kan bruge big data fra de sociale medier til at få indsigt i kundeadfærd, og hvordan løsninger, processer og produkter kan designes.
Presentation about the most interesting SDMX tools. How tio start working with SDMX using the ISTAT SDMX Framework, a set of building blocks to easily set up an SDMX architecture
The Census Hub Project can be considerated at the moment as the most advanced project where Internet technologies and SDMX solutions for data transmission get together for an ambicious goal: the data dissemination of Census 2011 results.
We analyze the Census Hub architecture, where a central Hub at Eurostat side manage the user interface, transforming all selections made by the user on the screen in an sdmx query. This query is sent to the web service at NSI side, that parses the query and transforms it in an SQL query that can be used with a data base containing census data. Depending on how many countrys are involved in the answer, the hub will query the web service provided for that country. Finally, the Hub receive all answer fron NSI's and build up a final table, putting all answers toghether. The importance of this implementation is that is a completely new system that change completely the way to disseminate and exchange official data among organizations.
The Pew Research Center’s Internet & American Life Project and Elon University’s Imagining the Internet Center asked digital stakeholders to weigh two scenarios for 2020, select the one most likely to evolve, and elaborate on the choice. One sketched out a relatively positive future where Big Data are drawn together in ways that will improve social, political, and economic intelligence. The other expressed the view that Big Data could cause more problems than it solves between now and 2020
Get customer insights and track behaviour using social media data.
Fagligt Oplæg om ‘Big Data & Social Media’ med fokus på, hvordan man kan bruge big data fra de sociale medier til at få indsigt i kundeadfærd, og hvordan løsninger, processer og produkter kan designes.
Presentation about the most interesting SDMX tools. How tio start working with SDMX using the ISTAT SDMX Framework, a set of building blocks to easily set up an SDMX architecture
The Census Hub Project can be considerated at the moment as the most advanced project where Internet technologies and SDMX solutions for data transmission get together for an ambicious goal: the data dissemination of Census 2011 results.
We analyze the Census Hub architecture, where a central Hub at Eurostat side manage the user interface, transforming all selections made by the user on the screen in an sdmx query. This query is sent to the web service at NSI side, that parses the query and transforms it in an SQL query that can be used with a data base containing census data. Depending on how many countrys are involved in the answer, the hub will query the web service provided for that country. Finally, the Hub receive all answer fron NSI's and build up a final table, putting all answers toghether. The importance of this implementation is that is a completely new system that change completely the way to disseminate and exchange official data among organizations.
Why should Government be like a double chocolate chip cookie?
Talk for DataCross, CorrelAids swiss chapter, on the future of open government data and the data ecosystem the Data Team of the Kanton of Zurich is building
With EOfactory.ai, domain experts can
focus on their domain-related workflows and use automation for some of the other repeatable tasks
such as downloading imagery and
preprocessing.
speech delivered during height of US fiscal crisis (10/02/08) to the SustainCommWorld conference on data feeds and visualization as a means to improving management and achieving the "triple bottom line"
Most data integration software was built to run data through ETL servers. It worked well at the time for several reasons: there wasn’t that much data—1TB was considered a large amount of data at the time; most data was structured, and the turnaround time for that data was monthly. Even back then, daily loads became a problem for most companies. Because of the limitations of the early tools, much of the work was hand-coded, without documentation, and no central management.
[Srijan Wednesday Webinar] Leveraging the OGD Platform and Visualization EngineSrijan Technologies
Data is one of the most valuable resources of modern digitized governance, but raw data alone can not provide the decision makers valuable insights. To turn the numbers into knowledge, we need to separate noise from the data. We also need to choose the right way to present the data, so that it’s easily interpreted.
There Open Government Data Platform India makes a lot of valuable open government datasets available from different sectors. And you are free to leverage these for creating visualizations and info-graphics using the in-house visualization engine.
Watch the webinar and learn how the OGD platform can help you create data-driven products and solutions.
Key Takeaways:
- Understand the importance of visualizations to showcase valuable insights
- Learn how to use open government data in decision making
- Know how to choose your format of visualization according to the data
- Learn how to create and share maps and charts using the Data Visualization Engine of the OGD Platform
This presenations provides an outlook of what we anticipate with the structured data hub: to create linkable datasets, enhance the use of provenance, add quality flags to data, answer new questions and finally, borrow from and provide to public sources such as dbpedia
L'azione civica di onData per liberare i dati per il monitoraggio della pandemia e quella istituzionale dell'Istat per capire l'impatto covid19. Festival dello sviluppo sostenibile di Gioia del Colle
Da dove vengono, a cosa servo,o, come vengono utilizzati i dati nelle situazioni di crisi. Il ruolo delle comunità e della cittadinanza attiva. Webinar dell'evento https://distanzainstanza.it
L'importanza degli Open Data per il monitoraggio della spesa pubblicaVincenzo Patruno
Incontro presso l'Università di Bari. Come gli open data possono essere di supporto a migliorare la trasparenza della spesa pubblica e in particolare degli appalti
La statistica ufficiale e i trasporti marittimi nell'era dei Big DataVincenzo Patruno
Come utilizzare i big data AIS delle posizioni delle navi in mare come supporto alla produzione di statistica ufficiale o per la generazione di nuovi prodotti statistici
Aumentare le potenzialità degli Open Data tra spazio e tempoVincenzo Patruno
Lo stato dell'arte degli Open Data e come aumentarne le potenzialità agendo sullo spazio e il tempo come dimensioni fondamentali per aumentare le potenzialità degli open data e favorirne il riuso e l'impatto socio economico
Open Data: come trattarli e visualizzarli quando diventano BigVincenzo Patruno
Caso d'uso presentato alla accademy di ForumPA 2018 su come acquisire in modo automatico i dati sui prezzi dei carburanti pubblicati dal MISE e incanalarli in una data pipeline per la loro visualizzazione su dashboardi dinamiche attraverso un semplice framework Big Data basato su Elasticsearch
Open Data – i benefici per i cittadini, le imprese e la PAVincenzo Patruno
Intervento su Open Data, architetture, stato dell'arte e opportunità in occasione della Settimana dell'Amministrazione Aperta organizzata dal Comune di Bari
Sessione presentata alla Academy di ForumPA 2017. Città in tempo reale e città cognitiva. Due casi d'uso. le presenze turistiche su AirBnB a il prezzo di vendita degli immobili in un framework Big Data. Qui il video https://www.youtube.com/watch?v=UPzylJ9NnBk
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Data Sharing
1. Data Sharing
Vincenzo Patruno – ISTAT (Italy)
vincenzo.patruno@istat.it
Statistical Data Dissemination
Attempting to understand, to study or to know complex social and economic phenomena of a Country or a
given territory is possible thanks to the daily job of National Institutes and Statistical Offices that carry out
surveys, elaborate obtained data and disseminate results.
The “data dissemination” is the moment in which National Institutes and Statistical Offices deliver
statistical data to the Scientific Community, to the Governments, the Companies, the Professionals,
Politics and the Citizens.
They use statistical data in order to analyze and to understand the World around us, in order to understand
the territory, in order to take economic or political informed decisions and so on.
After Internet, nothing was like before. This was true mainly for data and information producers and
consumers as well as for software producers. The Internet made possible the delivery of this kind of goods
at destination, instantly, without brokers and with no added costs.
With Internet and the Web, the “traditional” statistical publications made with paper and ink and
containing tables and tables of statistical data, gradually have been transformed in “electronic” format. A
link on the Statistical Office Web site, a click on the link and the table or the publication is downloaded (or
displayed) on the user's PC.
In this case all data, all tables, all charts need in any case to be prepared in advance. This is for sure a
solution for data dissemination easy to implement for the data producer, but it has a strong limit: the
publication, even in electronic format, has to be set up and the tables of data have however to be prepared.
In this scenario the user is forced to download and browse in multiple published electronic documents to
find the required information with limited search capabilities.
These (and others) reasons laid the foundations for the success of statistical Data Warehouses: storing data
in an organised format inside a Database in order to permit the build-up of statistical tables dinamically. In
other words, not more static and predefined tables but tables of data generated “on the fly” based on
choices made by the user. In this case there are pratically no limits to the amount of reports possible to
disseminate. The advantages of implementing statistical data warehouses is that the users will be obtaining
data from a single repository and thus having a consistent source for all reports.
The new Web User
But who is the user of statistical data? In the past the user was always seen as the “end point” of the whole
data dissemination process. But this “historical” idea of user is changing. The new Web user isn't anymore
only a “reader” of the Web. The New Web User is now a protagonist of the Web. He plays an active role
to disseminate, to share, to discuss, to promote and to improve information. This new scenario can be the
2. ideal land for associating the traditional Data Dissemination with what I like to call “Data Sharing”. And
“Data Sharing” has a strong implications both to technological level and to the behaviors of the user. In this
case data don't need to be downloaded locally on the user's PC, but they are released to be easily
“embedded” in Blogs and other Web sites.
Sharing statistical data
1. Open “WordPad” o “Block Notes” on your PC. (No Windows? Any text editor is OK)
2. Copy/Paste the following “embed code”
<script type= "text/javascript" src="http://www.vincenzopatruno.org/dir/net_migration.js"></script>
3. Save your document on Desktop with .html extention (ie. netmig.html)
4. Double Click on the “netmig.html” icon (Tested with IE8, FF, Chrome, Opera)
The result of copying and pasting the code into a web page is to embed a Web application (widget) into the
page. It’s exactely the same behaviour we have when we use the “embed code” closed every movie on
Youtube to share it on our own site, blog or a Social Network.
Fig. 1: Net Migration in Rome as displayed using the widget
3. It's interesting to underline as the chart containing data about Net Migration always remains on the
original server. Every time the chart will be displayed on any web page, it will be downloaded from that
server. The advantage is a centralized management of the widget. If for instance you change the chart
content adding a new data or you wish to modify the colours or the layout, all new changes will be
displayed on the same time on all sites and blogs that embedded the chart using the code shown before. In
this way, we created a direct “channel” between the data producer and the data consumer.
When new data about net migration will be released by the Italian Institute of Statistics, all web pages
containing the embedded widget will show automatically the updated data, all at the same time and
without middlemen. In fact all data displayed on the chart come (via API) directely from demo.istat.it, the
ISTAT's official Web site for population data dissemination, although the Widget is stored physically on
my personal web site (vincenzopatruno.org). This is what we usually call Mash-up.
With the following “embed code”
<script type="text/javascript" src="http://www.vincenzopatruno.org/dir/bilancio_en.js"></script>
we can share on our own web site or blog the following table containing data about population of the
Municipality of Rome (Italy), as shown in the following example.
Fig. 2: Widget showing the population in Rome using the embed code
Also in this case the table is built “on the fly” using data coming in real time from Istat's web site
demo.istat.it. Using the embed code, everybody can share the table on his own web site or Blog. And the
statistical information that propagates throughout the Blogosphere, offers to Statistical Offices new an
interesting opportunity: a statistical information available for everybody that can pass along and can be
shared in real time on the Blogosphere, Web Sites and Social Networks in accordance with “Web 2.0 rules”.
4. Fig. 3: Statistical information that propagates throughout the blogosphere
Fig. 4: Statistic table embedded in a web page
More ways to share data
I wrote a while ago a plugin for Wordpress, the most popular CMS in use today. (202 Million
Worldwide, 62.8 Million US) The following image show us how it's possible using a Wordpress
5. plugin to put the same table on the sidebar of a web site.
Fig. 5: Table on the sidebar using a Wordpress plugin
Fig. 6: Wordpress plugin list in the Administration Panel
6. In this case, after downloading the plugin and after activated it, it's possible to decide where placing
the widget on the sidebar and how to customize the content using the Wordpress Widgets
Administration Panel. We can insert a municipality code (6 chars) to load municipality data but
also a province code (3 chars) or a region code (2 chars) respectively for provincial data or regional
data, as shown in the following image.
Fig. 7: Wordpress Widgets Administration
Conclusions
Data Sharing could be a big opportunity for Statistical Offfices. In fact, promoting Data Sharing is a way to
make statistics easy to manage for everybody as well as a way to disseminate data promptly, instantly,
directly from producer to consumer.