Some insights about data curation processes @ SpazioDati. How we're using Big Data tools, Linked Data technologies, to build our products: Dandelion API (dandelion.eu) and Atoka (atoka.io).
Text analytics for Google Spreadsheets using Text Mining add-on SpazioDati
This add-on allows Google Spreadsheet users to enhance their textual spreadsheets content by automatically extracting named entities (such as places, persons, events or concepts) and linking them to Wikipedia by using Dandelion API.
ISWC 2014 - Dandelion: from raw data to dataGEMs for developersSpazioDati
This is the presentation showed during ISWC 2014 at Riva del Garda. The session was titled "Developers Workshop", and the focus was on how you solved practical problems for Linked Data. We presented dandelion platform and our data curation workflow, and the overall idea of dataGEM APIs.
Central Pennsylvania Open Source Conference, October 17, 2015
Data is a hot topic in the tech sector with big data, data processing, data science, linked open data and data visualization to name only a few examples. Before data can be processed or analyzed it often has to be cleaned. OpenRefine is an open source interactive data transformation tool for working with messy data. This presentation will begin with a short overview of the features of OpenRefine. To demonstrate basic concepts of data cleaning, manipulating, faceting and filtering with OpenRefine, Pennsylvania Heritage magazine subject index data will be used as a case study.
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Maajke the Jong
Text analytics for Google Spreadsheets using Text Mining add-on SpazioDati
This add-on allows Google Spreadsheet users to enhance their textual spreadsheets content by automatically extracting named entities (such as places, persons, events or concepts) and linking them to Wikipedia by using Dandelion API.
ISWC 2014 - Dandelion: from raw data to dataGEMs for developersSpazioDati
This is the presentation showed during ISWC 2014 at Riva del Garda. The session was titled "Developers Workshop", and the focus was on how you solved practical problems for Linked Data. We presented dandelion platform and our data curation workflow, and the overall idea of dataGEM APIs.
Central Pennsylvania Open Source Conference, October 17, 2015
Data is a hot topic in the tech sector with big data, data processing, data science, linked open data and data visualization to name only a few examples. Before data can be processed or analyzed it often has to be cleaned. OpenRefine is an open source interactive data transformation tool for working with messy data. This presentation will begin with a short overview of the features of OpenRefine. To demonstrate basic concepts of data cleaning, manipulating, faceting and filtering with OpenRefine, Pennsylvania Heritage magazine subject index data will be used as a case study.
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Maajke the Jong
It Don’t Mean a Thing If It Ain’t Got SemanticsOntotext
With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder.
Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution.
It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in.
In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
Linking Open, Big Data Using Semantic Web Technologies - An IntroductionRonald Ashri
The Physics Department of the University of Cagliari and the Linkalab Group invited me to talk about the Semantic Web and Linked Data - this is simply an introduction to the technologies involved.
Using the Semantic Web Stack to Make Big Data SmarterMatheus Mota
This presentation will discuss how just a few parts of the Semantic Web Cake can already boost your analytics by making your (big) data smarter and even more connected.
The Bounties of Semantic Data Integration for the Enterprise Ontotext
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical.
Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.
www.ontotext.com
Drupal Day 2011 - Thinking spatially with your open dataDrupalDay
Talk di Juan Arevalo & Marco Giacomassi | Drupal Day Roma 2011
The Open Data movement is now moving a step forward, many governments, institutions and business have recently started the process of making information available to citizens and customers. Data is now seen as a powerful instrument to increase transparency in public administration and business on policies. About 80% of this information has a spatial component that is not entirely exploited yet. A range of open source solutions are now available to address this challenge, in this session we will explore their potential and possible applications. The so-called “data deluge” is here.. but we can build good umbrellas. Please come to learn more about it!
Semantics for Big Data Integration and AnalysisCraig Knoblock
Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale anal- ysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that they can be quickly com- bined. In this paper we describe our approach to building and executing integration and restructuring plans to support analysis and visualization tools on very large and diverse datasets.
Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.
Elasticsearch : petit déjeuner du 13 mars 2014ALTER WAY
Elasticsearch est un moteur de recherche Open Source très puissant basé sur
Apache Lucene. Il permet l'indexation de millions de données, leur recherche et leur
analyse en temps réel. Les outils Elascticsearch sont déjà utilisés par des acteurs de
référence tels que FourSquare, GitHub, OpenDataSoft ou encore Dailymotion.
Alter Way et Elasticsearch vous convient à venir découvrir la suite Elasticsearch
enfin disponible en version 1.0 et prête pour la production !
It Don’t Mean a Thing If It Ain’t Got SemanticsOntotext
With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder.
Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution.
It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in.
In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
Linking Open, Big Data Using Semantic Web Technologies - An IntroductionRonald Ashri
The Physics Department of the University of Cagliari and the Linkalab Group invited me to talk about the Semantic Web and Linked Data - this is simply an introduction to the technologies involved.
Using the Semantic Web Stack to Make Big Data SmarterMatheus Mota
This presentation will discuss how just a few parts of the Semantic Web Cake can already boost your analytics by making your (big) data smarter and even more connected.
The Bounties of Semantic Data Integration for the Enterprise Ontotext
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical.
Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.
www.ontotext.com
Drupal Day 2011 - Thinking spatially with your open dataDrupalDay
Talk di Juan Arevalo & Marco Giacomassi | Drupal Day Roma 2011
The Open Data movement is now moving a step forward, many governments, institutions and business have recently started the process of making information available to citizens and customers. Data is now seen as a powerful instrument to increase transparency in public administration and business on policies. About 80% of this information has a spatial component that is not entirely exploited yet. A range of open source solutions are now available to address this challenge, in this session we will explore their potential and possible applications. The so-called “data deluge” is here.. but we can build good umbrellas. Please come to learn more about it!
Semantics for Big Data Integration and AnalysisCraig Knoblock
Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale anal- ysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that they can be quickly com- bined. In this paper we describe our approach to building and executing integration and restructuring plans to support analysis and visualization tools on very large and diverse datasets.
Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.
Elasticsearch : petit déjeuner du 13 mars 2014ALTER WAY
Elasticsearch est un moteur de recherche Open Source très puissant basé sur
Apache Lucene. Il permet l'indexation de millions de données, leur recherche et leur
analyse en temps réel. Les outils Elascticsearch sont déjà utilisés par des acteurs de
référence tels que FourSquare, GitHub, OpenDataSoft ou encore Dailymotion.
Alter Way et Elasticsearch vous convient à venir découvrir la suite Elasticsearch
enfin disponible en version 1.0 et prête pour la production !
This slide deck has been prepared for a workshop on Linked Data Publishing and Semantic Processing using the Redlink platform (http://redlink.co). The workshop delivered at the Department of Information Engineering, Computer Science and Mathematics at Università degli Studi dell'Aquila aimed at providing a general understanding of Semantic Web Technologies and how these can be used in real world use cases such as Salzburgerland Tourismus.
A brief introduction has been also included on MICO (Media in Context) a European Union part-funded research project to provide cross-media analysis solutions for online multimedia producers.
SPSToronto: SharePoint 2016 - Hybrid, right choice for you and your organizat...Knut Relbe-Moe [MVP, MCT]
SharePoint 2016 is just around the corner, and it's time to start to plan for an upgrade, but also more important is to prepare your organization for SharePoint 2016. Is SharePoint finally ready for Hybrid environments, join this webinar, to learn more about the Hybrid capabilities of SharePoint 2016, and why you should consider Hybrid in your environment.
Learn about Hybrid capabilities in SharePoint 2016
Learn when to use hybrid and Learn if SharePoint is finally hybrid capable?"
As part of the final BETTER Hackathon, project partners prepared 4 hackathon exercises. Fraunhofer IAIS organised this exercise in conjunction with external partner MKLab ITI-CERTH (EOPEN project). This step-by-step exercise featured the setup of local Docker images on Linux OS featuring Dcoker Compose and (pre-installed) Python, SANSA, Hadoop, Apache Spark and Apache Zeppelin. It featured semantic transformation and and the use of SANSA (Scalable Semantic Analytics Stack - http://sansa-stack.net/) libraries on a sample of tweets ahead of geo-clustering.
Project website (Hackathon information): https://www.ec-better.eu/pages/2nd-hackathon
Github repository: https://github.com/ec-better/hackathon-2020-semanticgeoclustering
Data Preparation vs. Inline Data Wrangling in Data Science and Machine LearningKai Wähner
Comparison of Data Preparation vs. Data Wrangling Programming Languages, Frameworks and Tools in Machine Learning / Deep Learning Projects.
A key task to create appropriate analytic models in machine learning or deep learning is the integration and preparation of data sets from various sources like files, databases, big data storages, sensors or social networks. This step can take up to 80% of the whole project.
This session compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing (like Talend, Pentaho), streaming analytics ingestion (like Apache Storm, Flink, Apex, TIBCO StreamBase, IBM Streams, Software AG Apama), and data wrangling (DataWrangler, Trifacta) within visual analytics. Various options and their trade-offs are shown in live demos using different advanced analytics technologies and open source frameworks such as R, Python, Apache Hadoop, Spark, KNIME or RapidMiner. The session also discusses how this is related to visual analytics tools (like TIBCO Spotfire), and best practices for how the data scientist and business user should work together to build good analytic models.
Key takeaways for the audience:
- Learn various options for preparing data sets to build analytic models
- Understand the pros and cons and the targeted persona for each option
- See different technologies and open source frameworks for data preparation
- Understand the relation to visual analytics and streaming analytics, and how these concepts are actually leveraged to build the analytic model after data preparation
Video Recording / Screencast of this Slide Deck: https://youtu.be/2MR5UynQocs
Linked Statistical Data: does it actually pay off?Oscar Corcho
Invited keynote at the ISWC2015 Workshop on Semantics and Statistics (SemStats 2015). http://semstats.github.io/2015/
The release of the W3C RDF Data Cube recommendation was a significant milestone towards improving the maturity of the area of Linked Statistical Data. Many Data Cube-based datasets have been released since then. Tools for the generation and exploitation of such datasets have also appeared. While the benefits for the usage of RDF Data Cube and the generation of Linked Data in this area seem to be clear, there are still many challenges associated to the generation and exploitation of such data. In this talk we will reflect about them, based on our experience on generating and exploiting such type of data, and hopefully provoke some discussion about what the next steps should be.
The Power of Semantic Technologies to Explore Linked Open DataOntotext
Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity.
The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by:
- graphically explorinh the connectivity patterns in big datasets;
- building new links between identical entities residing in different data silos;
- getting insights of what type of queries can be run against various linked data sets;
- reliably filtering information based on relationships, e.g., between people and organizations, in the news;
- demonstrating the conversion of tabular data into RDF.
Learn more at http://ontotext.com/.
War stories from building the Global Patent Search Network, and why Data folks need to think more about UX and Discovery, and UX folks need to think more about Data.
Sharepoint Content and Usage Reports - guide by SPDocKitSysKit Ltd
Check the SharePoint structure as well as the content and features usage to reveal how the company and end users utilize SharePoint. Check the number of unique visitors for each site collection or get a list of all visitors per selected site.
www.spdockit.com
How Data Virtualization Adds Value to Your Data Science StackDenodo
Watch here: https://bit.ly/3cZGCxr
For their machine learning and data science projects to be successful, data scientists need access to all of the enterprise data delivered through their myriad of data models. However, gaining access to all data, integrated into a central repository has been a challenge. Often 80% of the project time is spent on these tasks. But, a virtual layer can help the data scientist speed up some of the most tedious tasks, like data exploration and analysis. At the same time, it also integrates well with the data science ecosystem. There is no need to change tools and learn new languages. The data virtualization platform helps data scientists offload these data integration tasks, allowing them to focus on advanced analytics.
In this session, you will learn how data virtualization:
- Provides all of the enterprise data, in real-time, and without replication
- Enables data scientists to create and share multiple logical models using simple drag and drop
- Provides a catalog of all business definitions, lineage, and relationships
2017 01-11 intelligent search and intranet - chihuahuas vs muffins v1Don Miller
This is a presentation for people looking to improve Enterprise Search and Intranets. It provides details around Microsoft Search, Azure Search and Elastic Search and how to take a basic search platform and transform it into what Gartner calls Insight Engines and what Forrester calls Cognitive Search and Knowledge Discovery.
So you might have heard of Project Cortex, allowing you to auto-tag information in SharePoint and extract knowledge from your content. But what if you can't wait for the preview? Or you are in an on-premises scenario? You can use the Azure Cognitive services directly from your SharePoint on-premises environment! In this session, you will learn how you can extend your on-premises data in SharePoint with the different cognitive services Azure offers, including Azure Text Analytics and LUIS.
Dandelion API e Atoka: due strumenti utili al Data JournalismSpazioDati
Spunti per capire come usare dati strutturati e dati non strutturati nel lavoro del Data Journalist, attraverso Dandelion API - https://dandelion.eu - e Atoka - https://atoka.io.
Lezione tenuta al corso "Media digitali e Data Journalism", il 19/11/2015 -http://www.coris.uniroma1.it/node/9152.
News Fact-checking: One Practical Application of Linked StatisticsSpazioDati
This is the poster for SemStat at ISWC 2014 in Riva del Garda. SemStat 2014 was the "Second International Workshop on Semantic Statistics". Our poster is about a use case on fact-checking using the potential of Linked Statistics.
Find the specific Wikipedia page you’re looking for, using Wikisearch APISpazioDati
Wikisearch is a new semantic search API that helps you find the specific Wikipedia page you’re looking for. It's designed to work even if you don’t remember its exact title, or have only a vague remembrance that it relates to some specific topic.
Dandelion API and mobile payment: food for thoughts for H-ACK PAYMENTSpazioDati
Some ideas to use Dandelion API for H-ACK PAYMENT, a hackathon at H-FARM on mobile payment. Managing unstructured data and content to improve user experience on mobile payment scenario. From more contextual informations, to contextual ads.
Linked STAT per l'evento datalab con ISTAT alla Smart City Exhibition 2013SpazioDati
Presentazione mostrata all'evento Open Census all'interno del Datalab curato da ISTAT, per Smart City Exhibition 2013. Si racconta la volontà di SpazioDati di continuare un lavoro assieme ad ISTAT, per trasformare dati statistici in formati RDF, con l'uso del vocabolario DataCube.
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.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
5. !
!
Data curation is the process of turning independently
created data sources (structured and semi-structured data)
into unified data sets ready for analytics,
using domain experts to guide the process.
http://strataconf.com/stratany2014/public/schedule/detail/36021
6. a lot of things involved
!
ETL (Extract-Transform-Load) tools
Data Science tools
Linked Data tools
Big Data tools
Domain Knowledge
15. Our Entity Extraction API is based on a graph
Brussels
Paris
Berlin
Eiffel Tower
2009 World Championships
in Athletics
King Baudouin Stadium
Champ de Mars
0.42
0.80
0.43
0.53
0.53
0.53
0.63
0.59
0.440.44
https://dandelion.eu/docs/api/datatxt/nex/v1/
28. Search: how it works
Direct search of one particular
company through its name or “partita
iva” (vat number)
Content search into company websites
Keyword search among extracted and
refined entities from company resources
!
Dandelion API is the extraction engine!
1.
2. [*]
3. [*]
38. References
1) From raw data to dataGEMs for developers - http://ceur-ws.org/Vol-1268/paper1.pdf
2) Knowledge Graph ovunque:
http://www.slideshare.net/dagoneye/knowledge-graphs-ovunque-un-quadro-di-insieme-e-le-implicazioni-per-uno-sviluppo-condiviso-del-web-of-data
3) Linking Enterprise Data - https://www.springer.com/it/book/9781441976642
4) Using OpenRefine - https://www.packtpub.com/big-data-and-business-intelligence/using-openrefine
5) WhyYour Business Needs A Customer Data Knowledge Graph -
http://www.dataversity.net/business-needs-customer-data-knowledge-graph/
6) Enabling parallel processing for OpenRefine: Spark vs Akka -
http://refinepro.com/blog/enabling-parallel-processing-for-openrefine-spark-vs-akka/