This document provides an overview of stream reasoning and discusses Riccardo Tommasini's master's thesis. It outlines Tommasini's background, research interests, and research group in stream reasoning. It also presents an example of how stream reasoning can be used to query streaming sensor data to determine who is in what room. Tommasini's goal is to enable systematic comparative evaluation of RSP engines using standardized queries, datasets, and metrics within a test stand framework.
A Hierarchical approach towards Efficient and Expressive Stream ReasoningRiccardo Tommasini
Abstract. Many approaches have been proposed for Stream Reasoning (SR). Some of them combine information flow processing (IFP) tech- niques and semantic technologies to make sense in real-time of noisy, vast and heterogeneous data streams that come from complex domains. More recent works shown the presence of a trade-off between through- put and reasoning expressiveness. Indeed, systems with IFP-like perfor- mance are not really expressive (e.g. up to an RDFS subset) and vice versa. For static data, Information Integration (II) systems approached the problem already. The idea consists in spreading the reasoning com- plexity over different layers of an hierarchical architecture and treating it where it is easier to do. Is it possible realize an expressive and efficient stream reasoning (E2SR), by defining a hierarchical approach that adapts II techniques to the streaming scenario? In this paper, I discuss my plan towards E2SR, the intuition of adapting Information Integration tech- niques to the streaming scenario and the need of Stream Reasoning of comparative analysis to support its technological progress.
Heaven: A Framework for Systematic Comparative Research Approach for RSP EnginesRiccardo Tommasini
Benchmarks like LSBench, SRBench, CSRBench and, more recently, CityBench satisfy the growing need of shared datasets, ontologies and queries to evaluate window-based RDF Stream Processing (RSP) engines. However, no clear winner emerges out of the evaluation. In this paper, we claim that the RSP community needs to adopt a Systematic Comparative Research Approach (SCRA) if it wants to move a step forward. To this end, we propose a framework that enables SCRA for window based RSP engines. The contributions of this paper are: (i) the requirements to satisfy for tools that aim at enabling SCRA; (ii) the architecture of a facility to design and execute experiment guaranteeing repeatability, reproducibility and comparability; (iii) Heaven – a proof of concept implementation of such architecture that we released as open source –; (iv) two RSP engine implementations, also open source, that we propose as baselines for the comparative research (i.e., they can serve as terms of comparison in future works). We prove Heaven effectiveness using the baselines by: (i) showing that top-down hypothesis verification is not straight forward even in controlled conditions and (ii) providing examples of bottom-up comparative analysis.
A Hierarchical approach towards Efficient and Expressive Stream ReasoningRiccardo Tommasini
Abstract. Many approaches have been proposed for Stream Reasoning (SR). Some of them combine information flow processing (IFP) tech- niques and semantic technologies to make sense in real-time of noisy, vast and heterogeneous data streams that come from complex domains. More recent works shown the presence of a trade-off between through- put and reasoning expressiveness. Indeed, systems with IFP-like perfor- mance are not really expressive (e.g. up to an RDFS subset) and vice versa. For static data, Information Integration (II) systems approached the problem already. The idea consists in spreading the reasoning com- plexity over different layers of an hierarchical architecture and treating it where it is easier to do. Is it possible realize an expressive and efficient stream reasoning (E2SR), by defining a hierarchical approach that adapts II techniques to the streaming scenario? In this paper, I discuss my plan towards E2SR, the intuition of adapting Information Integration tech- niques to the streaming scenario and the need of Stream Reasoning of comparative analysis to support its technological progress.
Heaven: A Framework for Systematic Comparative Research Approach for RSP EnginesRiccardo Tommasini
Benchmarks like LSBench, SRBench, CSRBench and, more recently, CityBench satisfy the growing need of shared datasets, ontologies and queries to evaluate window-based RDF Stream Processing (RSP) engines. However, no clear winner emerges out of the evaluation. In this paper, we claim that the RSP community needs to adopt a Systematic Comparative Research Approach (SCRA) if it wants to move a step forward. To this end, we propose a framework that enables SCRA for window based RSP engines. The contributions of this paper are: (i) the requirements to satisfy for tools that aim at enabling SCRA; (ii) the architecture of a facility to design and execute experiment guaranteeing repeatability, reproducibility and comparability; (iii) Heaven – a proof of concept implementation of such architecture that we released as open source –; (iv) two RSP engine implementations, also open source, that we propose as baselines for the comparative research (i.e., they can serve as terms of comparison in future works). We prove Heaven effectiveness using the baselines by: (i) showing that top-down hypothesis verification is not straight forward even in controlled conditions and (ii) providing examples of bottom-up comparative analysis.
3x half day lecture and practicals on introductory facets of R, amongst others: installing R and RStudio, reading in and writing out data, data cleaning, descriptive statistics, data visualization (including visual analysis). Courtesy of the European Historical Sample Population Network and the Babeş-Bolyai University (Cluj-Napoca, Romania)
Towards efficient processing of RDF data streamsAlejandro Llaves
Presentation of short paper submitted to OrdRing workshop, held at ISWC 2014 - http://streamreasoning.org/events/ordring2014.
In the last years, there has been an increase in the amount of real-time data generated. Sensors attached to things are transforming how we interact with our environment. Extracting meaningful information from these streams of data is essential for some application areas and requires processing systems that scale to varying conditions in data sources, complex queries, and system failures. This paper describes ongoing research on the development of a scalable RDF streaming engine.
Ryan Curtin, Principal Research Scientist, Symantec at MLconf ATL 2016MLconf
mlpack: Or, How I Learned To Stop Worrying and Love C++: mlpack is a cutting-edge C++ machine learning library containing fast implementations of both standard machine learning algorithms and recently-published algorithms. In this talk, I will introduce mlpack, its design philosophy, and discuss how C++ is helpful for making implementations fast, as well as the pros and cons of C++ as a language choice. I will briefly review the capabilities of mlpack, then focus on mlpack’s flexibility by demonstrating the k-means clustering code (and maybe some other algorithms too, like nearest neighbor search), and how it might be used in a production environment. The project website can be found at http://www.mlpack.org/.
Coral & Transport UDFs: Building Blocks of a Postmodern Data WarehouseWalaa Eldin Moustafa
These slides describe LinkedIn efforts in building a view virtualization layer that enables compute engines to access Hive views, reason about them semantically, and optionally rewrite them before presenting to various compute engines such as Spark, Hive, and Presto. Namely, we describe two frameworks: Coral for reasoning about views using their logical plans, and Transport UDFs for reasoning about UDFs.
Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collabora-tors and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.
Natanael Arndt | AKSW, Universität Leipzig
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the semantics of the RDF query language SPARQL.
The talk I gave at the Stream Reasoning workshop in TU Berlin on December 8. I give an overview of RSEP-QL and how it can capture and formalise the behaviour of existing RSP engines, e.g. CSPARQL, EP-SPARQL, CQELS, SPARQLstream
Parallel Datalog Reasoning in RDFox PresentationDBOnto
Abstract:
We present a novel approach to parallel materialisation (i.e.,
fixpoint computation) of datalog programs in centralised,
main-memory, multi-core RDF systems. Our approach comprises an algorithm that evenly distributes the workload to cores, and an RDF indexing data structure that supports efficient, ‘mostly’ lock-free parallel updates. Our empirical evaluation shows that our approach parallelises computation very well: with 16 physical cores, materialisation can be up to 13.9 times faster than with just one core.
3x half day lecture and practicals on introductory facets of R, amongst others: installing R and RStudio, reading in and writing out data, data cleaning, descriptive statistics, data visualization (including visual analysis). Courtesy of the European Historical Sample Population Network and the Babeş-Bolyai University (Cluj-Napoca, Romania)
Towards efficient processing of RDF data streamsAlejandro Llaves
Presentation of short paper submitted to OrdRing workshop, held at ISWC 2014 - http://streamreasoning.org/events/ordring2014.
In the last years, there has been an increase in the amount of real-time data generated. Sensors attached to things are transforming how we interact with our environment. Extracting meaningful information from these streams of data is essential for some application areas and requires processing systems that scale to varying conditions in data sources, complex queries, and system failures. This paper describes ongoing research on the development of a scalable RDF streaming engine.
Ryan Curtin, Principal Research Scientist, Symantec at MLconf ATL 2016MLconf
mlpack: Or, How I Learned To Stop Worrying and Love C++: mlpack is a cutting-edge C++ machine learning library containing fast implementations of both standard machine learning algorithms and recently-published algorithms. In this talk, I will introduce mlpack, its design philosophy, and discuss how C++ is helpful for making implementations fast, as well as the pros and cons of C++ as a language choice. I will briefly review the capabilities of mlpack, then focus on mlpack’s flexibility by demonstrating the k-means clustering code (and maybe some other algorithms too, like nearest neighbor search), and how it might be used in a production environment. The project website can be found at http://www.mlpack.org/.
Coral & Transport UDFs: Building Blocks of a Postmodern Data WarehouseWalaa Eldin Moustafa
These slides describe LinkedIn efforts in building a view virtualization layer that enables compute engines to access Hive views, reason about them semantically, and optionally rewrite them before presenting to various compute engines such as Spark, Hive, and Presto. Namely, we describe two frameworks: Coral for reasoning about views using their logical plans, and Transport UDFs for reasoning about UDFs.
Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collabora-tors and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.
Natanael Arndt | AKSW, Universität Leipzig
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
I used these slides for an introductory lecture (90min) to a seminar on SPARQL. This slideset introduces the semantics of the RDF query language SPARQL.
The talk I gave at the Stream Reasoning workshop in TU Berlin on December 8. I give an overview of RSEP-QL and how it can capture and formalise the behaviour of existing RSP engines, e.g. CSPARQL, EP-SPARQL, CQELS, SPARQLstream
Parallel Datalog Reasoning in RDFox PresentationDBOnto
Abstract:
We present a novel approach to parallel materialisation (i.e.,
fixpoint computation) of datalog programs in centralised,
main-memory, multi-core RDF systems. Our approach comprises an algorithm that evenly distributes the workload to cores, and an RDF indexing data structure that supports efficient, ‘mostly’ lock-free parallel updates. Our empirical evaluation shows that our approach parallelises computation very well: with 16 physical cores, materialisation can be up to 13.9 times faster than with just one core.
Freedom fron Fear October 2008 First Issue. Magazine published by UNICRI and MPIDaniel Dufourt
Freedom fron Fear October 2008 First Issue.
Magazine published by United Nations
Interregional Crime and Justice Research Institute
and MAX PLANCK INSTITUTE
for Foreign and International Criminal Law
Alkuperäinen aihepiiriin liittyvä puheenvuoro oli Ateria 2014 tapahtumassa 4.11.2014, jossa kohtasivat julkisen ruokapalvelun ja sopimusruokailun asiantuntijat eri puolilta Suomea. Sama teema oli mukana EcoCentrian elintarvikehankinta RoadShowssa keväällä 2015, jolloin kohderyhminä olivat päättäjät, hankinta-asiantuntijat, ruokapalveluhenkilöstö sekä tuottajat ja jalostajat.
Please check out our pitch at https://igg.me/at/ascendance and at https://m.youtube.com/watch?feature=youtu.be&v=XzcgbgCVsjs
Support us by contributing and sharing the news with friends and family.
Triplewave: a step towards RDF Stream Processing on the WebDaniele Dell'Aglio
The slides of my talk at INSIGHT Centre for Data Analytics (in NUI Galway) where I presented TripleWave (http://streamreasoning.github.io/TripleWave/), an open-source framework to create and publish streams of RDF data.
Towards efficient processing of RDF data streamsAlejandro Llaves
In the last years, there has been an increase in the amount of real-time data generated. Sensors attached to things are transforming how we interact with our environment. Extracting meaningful information from these streams of data is essential for some application areas and requires processing systems that scale to varying conditions in data sources, complex queries, and system failures. This paper describes ongoing research on the development of a scalable RDF streaming engine.
Presented at OrdRing workshop, International Semantic Web Conference 2014.
http://streamreasoning.org/events/ordring2014
Presentation on RDF Stream Processing models given at the SR4LD tutorial (ISWC 2013) -- updated version at: http://www.slideshare.net/dellaglio/rsp2014-01rspmodelsss
Transient and persistent RDF views over relational databases in the context o...Nikolaos Konstantinou
As far as digital repositories are concerned, numerous benefits emerge from the disposal of their contents as Linked Open Data (LOD). This leads more and more repositories towards this direction. However, several factors need to be taken into account in doing so, among which is whether the transition needs to be materialized in real-time or in asynchronous time intervals. In this paper we provide the problem framework in the context of digital repositories, we discuss the benefits and drawbacks of both approaches and draw our conclusions after evaluating a set of performance measurements. Overall, we argue that in contexts with infrequent data updates, as is the case with digital repositories, persistent RDF views are more efficient than real-time SPARQL-to-SQL rewriting systems in terms of query response times, especially when expensive SQL queries are involved.
Heaven: Supporting Systematic Comparative Research of RDF Stream Processing E...Riccardo Tommasini
Stream Reasoning (SR) research field is grown enough to prove that reasoning upon rapidly changing information is possible. RDF Stream Processing (RSP) Engines, systems capable to handle at semantic level RDF-encoded information flows, are increasing in number of implemented solutions. Now the Stream Reasoning community is working on the standardization of the methods and tools that supported their development.
Many Computer Science (CS) research fields shown their interest for a deeper comprehension of their own work nature. Studies like [46, 51] investi- gated the publications in those field, highlighting that the majority of them are allied to an Engineering epistemology. However, they also evinced and criticized the concrete differences with other engineering research areas, which focus on evaluation of the proposed systems and not only on their design and development.
The lacks of an empirical approach can be ascribed to the complex nature of the software systems. However, it is possible to face such studies that can not be easily modeled, reducing the complexity of the analysis keeping intact the relevance of each involved system. In social science and economy, where researchers deal with cross case studies, it is commonly used a System- atic Comparative Research Approach (SCRA) within an experimental setting, which grants properties like repeatability, reproducibility and comparability to build the evaluation upon.
The SR community agreed that it is mandatory evaluating RSP Engines, understanding how these systems perform in real uses cases. Recent works in the filed [53, 41, 19] pursued this goal, providing benchmarks for RSP Engines evaluation. Further analysis pointed out the challenges involved by the Stream Reasoning research and posed the basis for a proper RSP Engines evaluation, describing in detail where previous works have failed and how the can be
improved [44].
The limitations of the existing benchmarking proposals proved that the
empirical evaluation of RSP Engines is just at the beginning. What is still missing in an infrastructure that allows to compare, possibly automatically, the performances of many RSP Engines and that grants the properties of an experimental setting. In this thesis we brace this challenge borrowing from the aerospace engineering the idea of an engine test stand, which is an automatic facility for engine testing and development.
A test stand allows to design experiments and to execute them, evaluat- ing engines in a controlled environment. Thus, we formulate the following research question: ”Can an engine test stand, together with queries, datasets and methods, support Systematic Comparative Research Approach for Stream Reasoning? ”
In this thesis we propose Heaven, an open source framework that enables the Systematic Comparative Approach in the Stream Reasoning research field. Heaven consists of: an RSP Engine Test Stand, which emulates the aerospace engineering facility in the Stream Rea
Presentation done* at the 13th International Semantic Web Conference (ISWC) in which we approach a compressed format to represent RDF Data Streams. See the original article at: http://dataweb.infor.uva.es/wp-content/uploads/2014/07/iswc14.pdf
* Presented by Alejandro Llaves (http://www.slideshare.net/allaves)
Knowledge Discovery tools using Linked Data techniques - {resentation for the Linked Data 4 Knowledge Discovery Workshop at ECML/PKDD2015 conference - http://events.kmi.open.ac.uk/ld4kd2015/ -
ParlBench: a SPARQL-benchmark for electronic publishing applications.Tatiana Tarasova
Slides from the workshop on Benchmarking RDF Systems co-located with the Extended Semantic Web Conference 2013. The presentation is about an on-going work on building the benchmark for electronic publishing applications. The benchmark provides real-world data sets, the Dutch parliamentary proceedings and a set of analytical SPARQL queries that were built on top of these data sets. The queries were grouped into micro-benchmarks according to their analytical aims. This allows one to perform better analysis of RDF stores behaviors with respect to a certain SPARQL feature used in a micro-benchmark/query.
Preliminary results of running the benchmark on the Virtuoso native RDF store are presented, as well as references to the on-line material including the data sets, queries and the scripts that were used to obtain the results.
Information-Rich Programming in F# with Semantic DataSteffen Staab
Programming with rich data frequently implies that one
needs to search for, understand, integrate and program with
new data - with each of these steps constituting a major
obstacle to successful data use.
In this talk we will explain and demonstrate how our approach,
LITEQ - Language Integrated Types, Extensions and Queries for
RDF Graphs, which is realized as part of the F# / Visual Studio-
environment, supports the software developer. Using the extended
IDE the developer may now
a. explore new, previously unseen data sources,
which are either natively in RDF or mapped into RDF;
b. use the exploration of schemata and data in order to
construct types and objects in the F# environment;
c. automatically map between data and programming language objects in
order to make them persistent in the data source;
d. have extended typing functionality added to the F#
environment and resulting from the exploration of the data source
and its mapping into F#.
Core to this approach is the novel node path query language, NPQL,
that allows for interactive, intuitive exploration of data schemata and
data proper as well as for the mapping and definition
of types, object collections and individual objects.
Beyond the existing type provider mechanism for F#
our approach also allows for property-based navigation
and runtime querying for data objects.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
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!
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
AI Genie Review: World’s First Open AI WordPress Website Creator
Streaming Day - an overview of Stream Reasoning
1. Streaming Day:
an overview of Stream Reasoning
by: Riccardo Tommasini
1
Scuola di Ingegneria Industriale e dell’Informazione
Computer Science and Engineering
2. Master Degree Thesis – Riccardo Tommasini
Agenda
2
Background
Stream
Reasoning
Get
in
Touch
Heaven
✓
SR
Example
3. Master Degree Thesis – Riccardo Tommasini
GiT - Riccardo Tommasini
3
Master Degree in C.S. @ Politecnico Of Milano
M.D. Thesis on Stream Reasoning
I’ll start my Phd in November 2k15
4. Master Degree Thesis – Riccardo Tommasini
GiT - Research Topic & Areas of Interest
4
• StreamReasoning @ CEP
• Techniques and Methods for
Stream Reasoners Benchmarking
• RESTfull API
• Software Testing
• Programming Languages
RDF
Stream
Processing
Software
Engineering
5. Master Degree Thesis – Riccardo Tommasini
GiT - Stream Reasoning Research Group
5
Daniele
Dell’Aglio
Phd
Emanuele
Della
Valle
Advisor
Marco
Balduini
Phd
6. Master Degree Thesis – Riccardo Tommasini
Agenda
6
Background
Stream
Reasoning
Get
in
Touch
Heaven
✓
SR
Example
7. Master Degree Thesis – Riccardo Tommasini
Background - Semantic Web
7
It provides a common
framework to allow
interoperability applications.
The Semantic Web is a
WWW extension.
Semantic Web world
involves several
technologies.
8. Master Degree Thesis – Riccardo Tommasini
Background - Semantic Web
7
It provides a common
framework to allow
interoperability applications.
The Semantic Web is a
WWW extension.
Semantic Web world
involves several
technologies.
9. Master Degree Thesis – Riccardo Tommasini
Background - Semantic Web
7
It provides a common
framework to allow
interoperability applications.
The Semantic Web is a
WWW extension.
Semantic Web world
involves several
technologies.
10. Master Degree Thesis – Riccardo Tommasini
Background - Semantic Web
7
It provides a common
framework to allow
interoperability applications.
The Semantic Web is a
WWW extension.
Semantic Web world
involves several
technologies.
11. Master Degree Thesis – Riccardo Tommasini
Background - RDF
8
Let I, B and L be three pairwise disjoint sets, defined as IRIs, Blank Nodes and
Literals, respectively. A triple
(s, p, o) ∈ (I ∪ B)I(I ∪ B ∪ L)
is an RDF triple, while a set of RDF triples is called an RDF graph.
subject object
predicate
RDF describes a conceptual model of information in any given domain.
12. Master Degree Thesis – Riccardo Tommasini
Background - OWL
9
• Web Ontology Language (OWL) is a language for
writing ontologies for the Web
• An Ontology is a a specification of a conceptualisation
(Tom Gruber)
• OWL extends RDF allowing to specific more about
properties and classes
• OWL extends RDF enabling reasoning:
• Check logical correctness of statements
• Infer implied statements w.r.t. a set of inferences rules
13. Master Degree Thesis – Riccardo Tommasini
Background - SPARQL
10
SPARQL Protocol and RDF Query Language 3 main parts
• CONSTRUCT query: used to provide an RDF graph created directly from the results of the query.
• SELECT query: used to extract a set of variables and their matching values, called set of mappings in the table format.
• Dataset clause -> FROM or FROM Named
• WHERE: provides the graph pattern to match against the data graph.
14. Master Degree Thesis – Riccardo Tommasini
Background - C-SPARQL
11
RICORDARE CAMBIO SEMANTICA!!!!
Csparql language extends sparql in every 3 parts of query forms
Query form -> STREAM CLAUSE to create a RDF stream as query results
Datasert clause -> FROM STREAM clause added to let engine get data from RDF streams specified by URI
Where Clause -> built in timestamp function to retrieve the timestamp of every single triple in the engine
15. Master Degree Thesis – Riccardo Tommasini
Background - DSMS vs CEP
12
Q
Q
Q
Q
Throw
Scratch
Store
Stream
Stream 1
Stream2
Stream n
…
Complex Event
Processing
Engine
Event Observers Event Consumers
Processing Flows of Information: From Data Stream to Complex Event Processing
- Gianpaolo Cugola & Alessandro Margara
Heterogeneous data stream
processing
Data semantic is up to the client
Incoming data are notification of
events
Events are semantically evaluate
through rules
Pub/Sub Model
CEP
DSMS
Continuous queries execution
20. Master Degree Thesis – Riccardo Tommasini
Agenda
14
Background
Stream
Reasoning
Get
in
Touch
Heaven
✓
SR
Example
21. Master Degree Thesis – Riccardo Tommasini
Stream Reasoning (SR)
15
Reasoning upon heterogeneous and rapidly
changing information flows.
-- S. Ceri, E. Della Valle, F. van Harmelen and H. Stuckenschmidt, 2010
24. Master Degree Thesis – Riccardo Tommasini
SR - RSP Engine
16
RDF
Stream
Processing
Engine
heterogeneous data (unbounded) streams
25. Master Degree Thesis – Riccardo Tommasini
SR - RSP Engine
16
RDF
Stream
Processing
Engine
data streams integration through RDF data model
heterogeneous data (unbounded) streams
26. Master Degree Thesis – Riccardo Tommasini
SR - RSP Engine
16
RDF
Stream
Processing
Engine
data streams integration through RDF data model
continuously infers implied triples w.r.t. ontology T
heterogeneous data (unbounded) streams
T
27. Master Degree Thesis – Riccardo Tommasini
< ,Q>
SR - RSP Engine
16
RDF
Stream
Processing
Engine
data streams integration through RDF data model
continuously infers implied triples w.r.t. ontology T
heterogeneous data (unbounded) streams
continuous querying (Q) answering
T
43. Master Degree Thesis – Riccardo Tommasini
Agenda
19
Background
Stream
Reasoning
Get
in
Touch
Heaven
✓
SR
Example
44. Master Degree Thesis – Riccardo Tommasini 20
BlueRoom RedRoom
is with
Running Example
45. Master Degree Thesis – Riccardo Tommasini 20
BlueRoom RedRoom
RedSensor
BlueSensor
is with
Running Example
46. Master Degree Thesis – Riccardo Tommasini 20
BlueRoom RedRoom
RedSensor
BlueSensor
R
Alice
R RFID is with
Running Example
47. Master Degree Thesis – Riccardo Tommasini 20
BlueRoom RedRoom
RedSensor
BlueSensor
R
Alice
Bob
R RFID is withFoursquare
Running Example
48. Master Degree Thesis – Riccardo Tommasini 20
BlueRoom RedRoom
RedSensor
BlueSensor
R
Alice
David
Bob
Carl
Elena
R RFID is withf FacebookFoursquare
Running Example
49. Master Degree Thesis – Riccardo Tommasini 21
▪ Four ways to learn who is where
Sensor Room Person Time-stamp
RedSensor RedRoom Alice T1
… … … …
Person ChecksIn Time-stamp
Bob BlueRoom T2
… … …
Person IsIn With Time-stamp
Carl null Bob T2
David RedRoom Elena T3
… … … …
Running Example - Which Data?
50. Master Degree Thesis – Riccardo Tommasini
Running Example - Data Model
22
Streaming Data Static Data
isWith
isConnectedTo
51. Master Degree Thesis – Riccardo Tommasini
Running Example - Data Model
22
Streaming Data Static Data
isWith
isConnectedTo
53. Master Degree Thesis – Riccardo Tommasini
Agenda
24
Background
Stream
Reasoning
Get
in
Touch
Heaven
✓
SR
Example
54. Master Degree Thesis – Riccardo Tommasini
Heaven - Research Question
My
contributions
are
Can
we
enable
Systematic
Comparative
Research
Approach
of
RSP
Engines,
exploiting
existing
queries,
dataset
and
metrics?
25
55. Master Degree Thesis – Riccardo Tommasini
Heaven - Research Question
My
contributions
are
Can
we
enable
Systematic
Comparative
Research
Approach
of
RSP
Engines,
exploiting
existing
queries,
dataset
and
metrics?
Test
Stand
25
56. Master Degree Thesis – Riccardo Tommasini
Evaluate
engines
with
Test
Stands
26
In Aerospace engineering…
Experimental Environment
Reproducibility, Repeatability, Comparability
Evaluation of running systems
Heaven - Test Stand
57. Master Degree Thesis – Riccardo Tommasini
Heaven - Test Stand
27
Disk
ResultCollectorStreamer
RSPEngine
Experiment
Analyser
Start
MB
Stop
TestStand
MB
58. Master Degree Thesis – Riccardo Tommasini
My
contributions
are
Can
we
enable
Systematic
Comparative
Research
Approach
of
RSP
Engines,
exploiting
existing
queries,
dataset
and
metrics?
28
Test
Stand
Heaven - Research Question
59. Master Degree Thesis – Riccardo Tommasini
My
contributions
are
Can
we
enable
Systematic
Comparative
Research
Approach
of
RSP
Engines,
exploiting
existing
queries,
dataset
and
metrics?
Method
28
Test
Stand
Heaven - Research Question
60. Master Degree Thesis – Riccardo Tommasini
Heaven - Analyser
I
develop
a
layered
investigation
method,
which
tries
answer
different
possible
question
about
RSP
Engine
L0
-‐
How
to
choose
an
engine?
L1
-‐
What
distinguish
an
engine?
L2
-‐
When
choosing
an
engine?
L3
-‐
Why
choosing
this
engine?
29
Causalità dei livelli, sarebbe bello poter dire sempre quale engine è migliore
61. Master Degree Thesis – Riccardo Tommasini
My
contributions
are
Can
we
enable
Systematic
Comparative
Research
Approach
of
RSP
Engines,
exploiting
existing
queries,
dataset
and
metrics?
Test
Stand
Method
30
Heaven - Research Question
62. Master Degree Thesis – Riccardo Tommasini
My
contributions
are
Can
we
enable
Systematic
Comparative
Research
Approach
of
RSP
Engines,
exploiting
existing
queries,
dataset
and
metrics?
Test
Stand
Baselines
Method
Analysis
30
Heaven - Research Question