Presentation at ACM Conference - Semantics2017, September 11--14, 2017, Amsterdam, Netherlands
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
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This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
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Presented at the Global Pharma R&D Informatics Congress. To find out more, visit:
www.global-engage.com
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RDF generator that produces Linked Data that bear similar characteristics with real datasets,
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(HOBBIT project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688227.)
Leopard ISWC Semantic Web Challenge 2017 at ISWC2017.
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
حلقة تكنولوجية 11 بحث علمى بعنوان A Systematic Mapping Study for Big Data Str...Adel Sabour
The document summarizes the results of a systematic mapping study on big data stream processing frameworks. It examines 91 studies published between 2010-2015. The study addressed 9 research questions, including the types of contributions made by the papers, research methods used, experimentation types for different frameworks, most used data ingestion tools, and preferred number of nodes in experiments. The results provided breakdowns of findings for various frameworks like Spark, Storm, Flink, and InfoSphere across the different research questions.
GVK BIO is a pioneer in the field of scientific database development and is known for its BioIT services. BioIT converts information to knowledge for usage in Discovery & Development. It integrates data from multi-disciplinary areas using Science and Information Technology.
"Benchmarking of distributed linked data streaming systems" as presented in the Stream Reasoning Workshop 2018, January 16-17, 2018, held by Department of Informatics DDIS (University of Zurich) in Zurich, Suisse
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
"Towards GeneratingPolicy-compliant Datasets" by Christophe Debruyne, Harshvardhan J. Pandit, Dave Lewis, Declan O’Sullivan. Presented at the The 13th IEEE International Conference on SEMANTIC COMPUTING
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Presented at the Global Pharma R&D Informatics Congress. To find out more, visit:
www.global-engage.com
Analytical data is at the heart of pharmaceutical research, yet many organisations struggle with the variety of different formats, instrument vendors, and search and retrieval of data. In this presentation, Hans de Bie from ACD/Labs discusses automated capture, exchange formats, integrity, and next generation management systems.
Freenome's Biological Machine Learning PlatformBrandon White
The document discusses the challenges of applying machine learning to biological data, including noisy data, biases, and confounding factors. It argues that building a machine learning platform can help accelerate model development by allowing researchers to focus on their specialty rather than infrastructure, easily reproduce and build upon each other's work, and uniformly apply robust interpretation techniques. The platform would make common workflows like exploring new preprocessing methods, data types, validation schemes, or models a simple one-step process by leveraging existing shared components.
RDF generator that produces Linked Data that bear similar characteristics with real datasets,
presented at the 1st International Workshop on Benchmarking Linked Data (BLINK).
(HOBBIT project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688227.)
Leopard ISWC Semantic Web Challenge 2017 at ISWC2017.
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
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Organizations have long seen the value in aggregating data from multiple systems into a single, holistic, real-time representation of a business entity. That entity is often a customer. But the benefits of a single view in enhancing business visibility and operational intelligence can apply equally to other business contexts. Think products, supply chains, industrial machinery, cities, financial asset classes, and many more.
However, for many organizations, delivering a single view to the business has been elusive, impeded by a combination of technology and governance limitations.
MongoDB has been used in many single view projects across enterprises of all sizes and industries. In this session, we will share the best practices we have observed and institutionalized over the years. By attending the webinar, you will learn:
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- The required technology capabilities and tools to accelerate project delivery
- Case studies from customers who have built transformational single view applications on MongoDB.
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Organizations run their day-in-and-day-out businesses with transactional applications and databases. On the other hand, organizations glean insights and make critical decisions using analytical databases and business intelligence tools.
The transactional workloads are relegated to database engines designed and tuned for transactional high throughput. Meanwhile, the big data generated by all the transactions require analytics platforms to load, store, and analyze volumes of data at high speed, providing timely insights to businesses.
Thus, in conventional information architectures, this requires two different database architectures and platforms: online transactional processing (OLTP) platforms to handle transactional workloads and online analytical processing (OLAP) engines to perform analytics and reporting.
Today, a particular focus and interest of operational analytics includes streaming data ingest and analysis in real time. Some refer to operational analytics as hybrid transaction/analytical processing (HTAP), translytical, or hybrid operational analytic processing (HOAP). We’ll address if this model is a way to create efficiencies in our environments.
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This document discusses an analysis of factors that affect the productivity of enterprise software projects. It presents the results of regression and variance analyses conducted on a database of over 3,000 Japanese software projects. The regression analysis found that a project's size, number of test cases, and number of faults explained 75% of the variability in project effort. Several qualitative factors were also found to significantly impact productivity based on one-dimensional and two-dimensional variance analyses, including clarity of roles and objectives, working space conditions, and how quality assurance was conducted.
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IBM presented on their advanced analytics platform architecture and decisions. The platform ingests streaming and batch data from various sources and filters the data for real-time, predictive, and descriptive analytics using tools like Hadoop and SPSS. It also performs identity resolution and feedback loops to improve predictive models. Mobility profiling and social network analysis were discussed as examples. Data engineering requirements like security, scalability, and support for structured and unstructured data were also outlined.
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ATAGTR2017 Bee-Hive approach for Big Data Testing [End to End Continuous Test...Agile Testing Alliance
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This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).
"Benchmarking Big Linked Data: The case of the HOBBIT Project" as presented in the First International Workshop on Semantic Web Technologies for Health Data Management (SWH 2018), co-located with ISWC 2018, 9th October, 2018 held in Monterey, California, USA
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"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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 .
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
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.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Benchmarking Faceted Browsing Capabilities of Triple Stores
1. Benchmarking Faceted Browsing Capabilities
of Triple Stores
Horizon 2020
GA No 688227
01/12/2015 – 30/11/2018
Henning Petzka, Claus Stadler, Georgios Katsimpras, Bastian Haarmann, Jens Lehmann
13.09.2017
SEMANTiCS Amsterdam 2017
2. HOllistic Benchmarking of Big lInked daTa
Rationale:
A community-driven unified benchmarking platform for the community
• Focus on Big Linked Data
• Provide benchmarks and baselines
• Provide reference implementation of KPIs
• Extensible and referenceable
• Result analysis
• Open Source
http://project-hobbit.eu
7. • Benchmarks I: Generation & Acquisition
measures performance of SPARQL query processing systems when faced with streams of
data in terms of efficiency and completeness
• Benchmarks II: Analysis & Processing
test performance on instance matching tools for Linked Data and performance on machine
learning methods for data analytics
• Benchmarks III: Storage & Curation
has its focus on storage components and versioning systems to efficiently manage evolving
linked datasets
• Benchmarks IV: Visualization & Services
has its focus on benchmarks regarding question answering and faceted browsing.
8. Faceted Browsing
stands for a session-based and state-dependent
interactive method for query formulation over a multi-
dimensional information space.
A browsing scenario consists of applying (or removing) filter restrictions defined by
object-valued properties or of changing the range of a property value of various data
types.
11. Choke Points
! In a browsing scenario it is the efficient transition
from one state to next one that determines the user
experience !
Three basic types of transition
1. Class-based transition
2. Property- or property path-based transition
3. Entity type switch
14. Scenarios
• make sense in a real-world browing scenario and
• cover all types of transitions as specified by the choke points
15. Key Performance Indicators
• Instance retrieval:
• Query-per-second score
• Precision
• Recall
• F1-Score
• Facet counts:
• Query-per-second score
• Several metrics for accuracy
Over all queries and for each choke point
individually
16. MOCHA Challenge at ESWC 2017
Benchmark on Faceted Browsing was part of the
Mighty Storage Challenge at the ESWC 2017
Two participants vs. baseline system
• QUAD by Ontos
• Virtuoso 8.0 Commercial Edition (beta release)
vs. Virtuoso 7.2 Open-Source Edition
No results for QUAD due to time out.