Invited Talk at Summer School on Semantic Web, Bertinoro, 2015
Abstract:
Two decades ago one has discussed how to build seamless digital workflows
such that the medium for data in a workflow would not switch between paper, fax, phone,
and digital, because each transcription from one to another medium would
be laborious and cost-inefficient. Thus, the issue was avoiding *medium discontinuities*.
Today, we have all-digital data workflows, but we have still plenty of *semantic discontinuities*.
In this talk, I want first to describe reasons for this discontinuities including: autonomy of
data providers, need for agility and flexibility, or decentralized organizations in
the world-wide data spaces.
Then I want to describe several semantics discontinuities and some efforts to
ameliorate them by:
1. Semantic programming (Horizontal workflow paradigm)
2. Core ontologies (Vertical workflow paradigm)
3. Semantic data production and consumption (Sticky semantics)
Semantic Technologies and Programmatic Access to Semantic Data Steffen Staab
This is a talk given at the Semantics@Roche Forum on September 8, 2015. It is a short version of the talk I gave in July at Summer School Semantic Web and really a subset of the slides I showed then.
Very brief introduction to R software that I have presented at UNISZA. No R codes and No Statistical Contents. Basically for those who just heard about R software for the first time
Key lecture for the EURO-BASIN Training Workshop on Introduction to Statistical Modelling for Habitat Model Development, 26-28 Oct, AZTI-Tecnalia, Pasaia, Spain (www.euro-basin.eu)
Semantic Technologies and Programmatic Access to Semantic Data Steffen Staab
This is a talk given at the Semantics@Roche Forum on September 8, 2015. It is a short version of the talk I gave in July at Summer School Semantic Web and really a subset of the slides I showed then.
Very brief introduction to R software that I have presented at UNISZA. No R codes and No Statistical Contents. Basically for those who just heard about R software for the first time
Key lecture for the EURO-BASIN Training Workshop on Introduction to Statistical Modelling for Habitat Model Development, 26-28 Oct, AZTI-Tecnalia, Pasaia, Spain (www.euro-basin.eu)
1.3 introduction to R language, importing dataset in r, data exploration in rSimple Research
Introduction to R language, How to install R and R studio
How to import dataset in R
How to explore data in R
www.simpleresearch.net
info@simpleresearch.net
This slideset covers trends in programming paradigms by illustrating concepts based on new, emerging languages in 2009/10.
see http://www.voelter.de/conferences/index.html for the full set of my presentations.
Joint Keynote at Int. Conference on Knowledge Engineering and Semantic Web and Prague Computer Science Seminar, Prague, September 22, 2016
The challenges of Big Data are frequently explained by dealing with Volume, Velocity, Variety and Veracity. The large variety of data in organizations results from accessing different information systems with heterogeneous schemata or ontologies. In this talk I will present the research efforts that target the management of such broad data.
They include: (i) an integrated development environment for programming with broad data, (ii) a query language that allows for typing of query results, (iii) a typed lambda-calculus based on description logics, and (iv) efficient access to data repositories via schema indices.
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.
Way #5 Don’t end up in a ditch because you weren’t aware of roadblocks in you...panagenda
Recording: https://pan.news/idna20200311
It’s dangerous to underestimate the impact of database design on the future of your Notes/Domino applications. It doesn’t matter if you are modernizing or migrating. Each path has to deal with its own challenges around platform dependencies or incompatibility in the source code. Having the code base at your fingertips is key to mastering these challenges before they turn into issues.
Join Franz Walder for this webinar and learn how to identify the potential roadblocks. You will leave being able to apply these findings to your own project. They will help you avoid the complications so many others have run into. Project managers and developers alike will benefit from increased efficiency while reducing risk at the same time.
The Semantic Web - Interacting with the UnknownSteffen Staab
When developing user interfaces for interacting with data and content one typically assumes that one knows the type of data and one knows how to interact with such type of data. The core idea of the Semantic Web is that data is self-describing, which implies that its semantics is not designed and described at an initial point in time, but it rather emerges by its use. This flexibility is one of the greatest assets of the Semantic Web, but it also severely handicaps intelligent interaction with its data.
In this talk, we will sketch the principal problem as well as first steps to deal with the problem of interacting with the unknown.
SoundSoftware.ac.uk: Sustainable software for audio and music research (DMRN 5+)SoundSoftware ac.uk
Introductory presentation about the SoundSoftware.ac.uk project: Sustainable software for audio and music research.
Presented on the DMRN+5: Digital Music Research Network One-day Workshop 2010, in the Queen Mary, University of London, on the 21st Dec 2010.
1.3 introduction to R language, importing dataset in r, data exploration in rSimple Research
Introduction to R language, How to install R and R studio
How to import dataset in R
How to explore data in R
www.simpleresearch.net
info@simpleresearch.net
This slideset covers trends in programming paradigms by illustrating concepts based on new, emerging languages in 2009/10.
see http://www.voelter.de/conferences/index.html for the full set of my presentations.
Joint Keynote at Int. Conference on Knowledge Engineering and Semantic Web and Prague Computer Science Seminar, Prague, September 22, 2016
The challenges of Big Data are frequently explained by dealing with Volume, Velocity, Variety and Veracity. The large variety of data in organizations results from accessing different information systems with heterogeneous schemata or ontologies. In this talk I will present the research efforts that target the management of such broad data.
They include: (i) an integrated development environment for programming with broad data, (ii) a query language that allows for typing of query results, (iii) a typed lambda-calculus based on description logics, and (iv) efficient access to data repositories via schema indices.
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.
Way #5 Don’t end up in a ditch because you weren’t aware of roadblocks in you...panagenda
Recording: https://pan.news/idna20200311
It’s dangerous to underestimate the impact of database design on the future of your Notes/Domino applications. It doesn’t matter if you are modernizing or migrating. Each path has to deal with its own challenges around platform dependencies or incompatibility in the source code. Having the code base at your fingertips is key to mastering these challenges before they turn into issues.
Join Franz Walder for this webinar and learn how to identify the potential roadblocks. You will leave being able to apply these findings to your own project. They will help you avoid the complications so many others have run into. Project managers and developers alike will benefit from increased efficiency while reducing risk at the same time.
The Semantic Web - Interacting with the UnknownSteffen Staab
When developing user interfaces for interacting with data and content one typically assumes that one knows the type of data and one knows how to interact with such type of data. The core idea of the Semantic Web is that data is self-describing, which implies that its semantics is not designed and described at an initial point in time, but it rather emerges by its use. This flexibility is one of the greatest assets of the Semantic Web, but it also severely handicaps intelligent interaction with its data.
In this talk, we will sketch the principal problem as well as first steps to deal with the problem of interacting with the unknown.
SoundSoftware.ac.uk: Sustainable software for audio and music research (DMRN 5+)SoundSoftware ac.uk
Introductory presentation about the SoundSoftware.ac.uk project: Sustainable software for audio and music research.
Presented on the DMRN+5: Digital Music Research Network One-day Workshop 2010, in the Queen Mary, University of London, on the 21st Dec 2010.
Translating your content into other languages is one of the greatest challenges in the technical communication process. We as technical communicators can meet these challenges with the combination of single-sourcing and localization. This presentation covers a combination of tools, best practices, tips and tricks for managing your localization projects.
Illustrated Code: Building Software in a Literate Way
Andreas Zeller, CISPA Helmholtz Center for Information Security
Notebooks – rich, interactive documents that join together code, documentation, and outputs – are all the rage with data scientists. But can they be used for actual software development? In this talk, I share experiences from authoring two interactive textbooks – fuzzingbook.org and debuggingbook.org – and show how notebooks not only serve for exploring and explaining code and data, but also how they can be used as software modules, integrating self-checking documentation, tests, and tutorials all in one place. The resulting software focuses on the essential, is well-documented, highly maintainable, easily extensible, and has a much higher shelf life than the "duct tape and wire” prototypes frequently found in research and beyond.
External or internal domain-specific languages (DSLs) or (fluent)
APIs? Whoever you are – a developer or a user of a DSL –
you usually have to choose side; you should not! What about
metamorphic DSLs that change their shape according to your
needs? Our 4-years journey of providing the "right" support
(in the domain of feature modeling), led us to develop an external
DSL, different shapes of an internal API, and maintain
all these languages. A key insight is that there is no one-size-fits-
all solution or no clear superiority of a solution compared
to another. On the contrary, we found that it does make sense
to continue the maintenance of an external and internal DSL.
Based on our experience and on an analysis of the DSL engineering
field, the vision that we foresee for the future of
software languages is their ability to be self-adaptable to the
most appropriate shape (including the corresponding integrated
development environment) according to a particular
usage or task. We call metamorphic DSL such a language,
able to change from one shape to another shape.
The talk has been presented at SPLASH conference in Portland (USA), Onward! Essays track.
Paper is here: https://hal.archives-ouvertes.fr/hal-01061576/fr
An Introduction to Natural Language ProcessingTyrone Systems
Learn about how Natural Language Processing in AI can be used and how it applies to you in the real world.
You can learn about NLP concepts, Pre-processing steps, Vectorization Methods, Generative and Unsupervised methods. All the resource is available for you to grow your knowledge and skills about Natural Language Processing webinar!
Come può .NET contribuire alla Data Science? Cosa è .NET Interactive? Cosa c'entrano i notebook? E Apache Spark? E il pythonismo? E Azure? Vediamo in questa sessione di mettere in ordine le idee.
Deep Learning on Apache® Spark™: Workflows and Best PracticesDatabricks
The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. This webinar, based on the experience gained in assisting customers with the Databricks Virtual Analytics Platform, will present some best practices for building deep learning pipelines with Spark.
Rather than comparing deep learning systems or specific optimizations, this webinar will focus on issues that are common to deep learning frameworks when running on a Spark cluster, including:
* optimizing cluster setup;
* configuring the cluster;
* ingesting data; and
* monitoring long-running jobs.
We will demonstrate the techniques we cover using Google’s popular TensorFlow library. More specifically, we will cover typical issues users encounter when integrating deep learning libraries with Spark clusters.
Clusters can be configured to avoid task conflicts on GPUs and to allow using multiple GPUs per worker. Setting up pipelines for efficient data ingest improves job throughput, and monitoring facilitates both the work of configuration and the stability of deep learning jobs.
Deep Learning on Apache® Spark™: Workflows and Best PracticesJen Aman
The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. This webinar, based on the experience gained in assisting customers with the Databricks Virtual Analytics Platform, will present some best practices for building deep learning pipelines with Spark.
Rather than comparing deep learning systems or specific optimizations, this webinar will focus on issues that are common to deep learning frameworks when running on a Spark cluster, including:
* optimizing cluster setup;
* configuring the cluster;
* ingesting data; and
* monitoring long-running jobs.
We will demonstrate the techniques we cover using Google’s popular TensorFlow library. More specifically, we will cover typical issues users encounter when integrating deep learning libraries with Spark clusters.
Clusters can be configured to avoid task conflicts on GPUs and to allow using multiple GPUs per worker. Setting up pipelines for efficient data ingest improves job throughput, and monitoring facilitates both the work of configuration and the stability of deep learning jobs.
Similar to Seamless semantics - avoiding semantic discontinuity (20)
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Steffen Staab
Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
Knowledge graphs for knowing more and knowing for sureSteffen Staab
Knowledge graphs have been conceived to collect heterogeneous data and knowledge about large domains, e.g. medical or engineering domains, and to allow versatile access to such collections by means of querying and logical reasoning. A surge of methods has responded to additional requirements in recent years. (i) Knowledge graph embeddings use similarity and analogy of structures to speculatively add to the collected data and knowledge. (ii) Queries with shapes and schema information can be typed to provide certainty about results. We survey both developments and find that the development of techniques happens in disjoint communities that mostly do not understand each other, thus limiting the proper and most versatile use of knowledge graphs.
Symbolic Background Knowledge for Machine LearningSteffen Staab
Machine learning aims at learning complex functions from data. Very often, this challenge remains ill-defined given the available amount of data, however, background knowledge that is available as knowledge graphs, ontologies or symbolic (physical) equations allows for an improved specification of the targeted solution. In this talk, we want to discuss several use cases that include symbolic background knowledge as regularizing priors, as constraints or as other inductive biases into machine learning tasks.
Soziale Netzwerke und Medien: Multi-disziplinäre Ansätze für ein multi-dimens...Steffen Staab
Präsentation von Oul Han und Steffen Staab
Workshop "Soziale Netzwerke und Medien" auf dem Treffen des Fakultätentags Informatik, 14. November 2019, Hamburg
Web Futures: Inclusive, Intelligent, SustainableSteffen Staab
Almost from its very beginning, the Web has been ambivalent.
It has facilitated freedom for information, but this also included the freedom to spread misinformation. It has faciliated intelligent personalization, but at the cost of intrusion into our private lifes. It has included more people than any other system before, but at the risk of exploiting them.
The Web is full of such ambivalences and the usage of artificial intelligences threatens to further amplify these ambivalences. To further the good and to contain the negative consequences, we need a research agenda studying and engineering the Web, as well as numerous activities by societies at large. In this talk, I will present and discuss a joint effort by an interdisciplinary team of Web Scientists to prepare and pursue such an agenda.
Concepts in Application Context ( How we may think conceptually )Steffen Staab
Formal concept analysis (FCA) derives a hierarchy of concepts
in a formal context that relates objects with attributes. This approach is very well aligned with the traditions of Frege, Saussure and Peirce, which relate a signifier (e.g. a word/an attribute) to a mental concept evoked by this word and meant to refer to a specific object in the real world. However, in the practice of natural languages as well as artificial languages (e.g. programming languages), the application context
often constitutes a latent variable that influences the interpretation of a signifier. We present some of our current work that analyzes the usage of words in natural language in varying application contexts as well as the usage of variables in programming languages in varying application contexts in order to provide conceptual constraints on these signifiers.
Storing and Querying Semantic Data in the CloudSteffen Staab
Daniel Janke and Steffen Staab. Tutorial at Reasoning Web
With proliferation of semantic data, there is a need to cope with trillions of triples by horizontally scaling data management in the cloud. To this end one needs to advance (i) strategies for data placement over compute and storage nodes, (ii) strategies for distributed query processing, and (iii) strategies for handling failure of compute and storage nodes. In this tutorial, we want to review challenges and how they have been addressed by research and development in the last 15 years.
Talk at Leopoldina Symposium on Digitization and its Effects on Man and Society
(Die Digitalisierung und ihre Auswirkungen auf Mensch und Gesellschaft)
leopoldina.org/de/veranstaltungen/veranstaltung/event/2464/
The evolution of the Web should move forward in an upward spiral that cylces between guiding values, engineering and science. Guiding values should comprise social values as well as system principles that further stabilization and growth of the Web. Principles I will talk about will include social inclusion, connectedness and fairness. Example efforts improve Web access for disabled, critically access Web structures and Web growth, and try to transfer knowledge about previously found patterns of Web growth to analogous cases.
(Semi-)Automatic analysis of online contentsSteffen Staab
How can media and discourse analyses combine approaches from humanities and statistical methods to deeply analyse large amounts of online contents.
Invited talk at Fachgruppen-Workshop der Deutschen Gesellschaft für Publizistik und Kommunikationswissenschaft
Soziale Medien – Echo-Kammer oder öffentlicher Raum?
Ansätze zur computergestützten Analyse von Internet-Korpora
6. Oktober 2016, Karlsruher Institut für Technologie (KIT)
We use metadata of various kind to improve and enrich text document clustering using an extension of Latent Dirichlet Allocation (LDA). The methods are fully implemented, evaluated and software is available on github.
These are the slides of an invited talk I gave September 8 at the Alexandria Workshop of TPDL-2016: http://alexandria-project.eu/events/3rd-workshop/
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
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."
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/
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
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.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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
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
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
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!
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-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
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
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1. Steffen Staab Seamless Semantics 1Institute for Web Science and Technologies · University of Koblenz-Landau, Germany
Web and Internet Science Group · ECS · University of Southampton, UK &
Seamless Semantics:
Avoiding Semantic Discontinuity
Steffen Staab
University of Southampton
&
Universität Koblenz-Landau
2. Steffen Staab Seamless Semantics 2
„I have bought myself a 30‘‘ screen,
because half of my work is re-typing existing
material.“
Why do we have
to re-type at all?
A professorial colleague:
3. Steffen Staab Seamless Semantics 3
Why do we have to retype at all?
Examples:
• CVs
• Bibliographies
• Visa entry forms
• Adresses
• Purchase orders
• ...
Reasons:
• No semantics
• Other semantics
• Other formats
• Other importance
ranking
• (partial)
incompleteness
6. Steffen Staab Seamless Semantics 6
Why do we know the „how“
(see talk by Maria-Esther & Axel)
but not the „what“?
7. Steffen Staab Seamless Semantics 7
Traditional Information System
Business
Logics
Structured Data
Unstructured
Data
Presentation and
Interaction
Charakteristics:
• Processes known
• Data structures
known
• Meaning of data in
schema and
implicit in code
8. Steffen Staab Seamless Semantics 8
Information ecosystems nowadays
Examples
• Open Data
• 1000s
DBs/company
• Ad-hoc data
Characteristics
• Some structure
• Late structure
• Social context
• Meaning of data
most important
9. Steffen Staab Seamless Semantics 9
How does data receive meaning?
Explicit:
• Formal schema/ontology
– By someone else?
Implicit:
• Names are just used for
describing
Social:
• Communities converge
– By discussion
– By emergence
Meaning?
10. Steffen Staab Seamless Semantics 10
Talking many languages...
Sub languages
• For consumer
– title,...
• Global retailers
– barcode
• US food industry
– serving size, calories,...
• Producer
– batch number
...
https://www.youtube.com/watch?v=ga1aSJXCFe0
Depending on who you are – you encounter the
(un)expected, the (un)known, the (un)understandable,...
11. Steffen Staab Seamless Semantics 11
The Unknown
https://www.flickr.com/photos/wrobel/81759
02444/
12. Steffen Staab Seamless Semantics 12
We know a bit.... 1. URIs as
identifiers
2. http
lookup
3. RDF
(triples)
4. relations, also
to other locations
13. Steffen Staab Seamless Semantics 13
What is/should Linked Data good for?
• Data integration is (relatively) easy
– Migrating different data sources to
linked data is (relatively) easy
• Late schema is easy
– Just add some more fields
• Ignoring data is easy
– Think of crisps
• Serendipitous use
– Discover new information &
new sources by following links
• Data repurposing / pointing
– Use what others have done at both schema
and data level
14. Steffen Staab Seamless Semantics 14
Issue: From Data Publishing to Understanding
De-contextualization Re-contextualization
Publishing data the structure of which you know is
easier than understanding what you do not know
15. Steffen Staab Seamless Semantics 15
1. Reducing language friction
2. Reducing re-use friction
1. Reducing information loss
Agenda
20. Steffen Staab Seamless Semantics 21
2 Modularization
Multimedia (@WeST)
• FOAF
• F event ontology
• COMM
• ..
Sensors (@Galway)
• SSN ontology
• COMM
• F
Italian
Spanish
French
[Scherp et al]
[Leggieri et al]
21. Steffen Staab Seamless Semantics 22
2 Pattern as Micro-Module for Image Tagging
[Scherp&Saathoff, WWW-2010]
[Troncy et al 2007]
22. Steffen Staab Seamless Semantics 23
3 Understanding via generalization
Fracture of Femur Fracture of bone
Femur is bone in your
upper leg
23. Steffen Staab Seamless Semantics 24
3 Generalization/Specialization
DOLCE
Ontology
of Plans
Core
Software Ontology
Core Ontology
of Web Services
Core Ontology of
Software Components
specificity
genericcore
reused
ontology modules
Ontology of
Information Objects
Descriptions
& Situations
contributed
ontology modules
http://cos.ontoware.org
28. Steffen Staab Seamless Semantics 29
4 OntoMDE Workflow
Model of Ontologies (MoOn)
Adding declarative layer:
Structuring the ontologies into
semantic units
Ontology API Model (OAM)
Adding declarative layer:
Structuring pragmatic units specifying how entities are to be
used together
30. Steffen Staab Seamless Semantics 31
Example scenario: Jamendo
Data about license free music
• ~ 1 Million triples
• classes and predicates
from 18 different ontologies
– FOAF, Tag ontology,
music ontology, …
Simple programming task:
• List for every music artist,
all the records they made
31. Steffen Staab Seamless Semantics 32
Software Development Process Overview
data model
design
revised data
model design
data model
prototype
data
queries
final data
model
Creation of
initial data
model
Exploration
of the data
source
Creation of
model in
code
Query design /
implementation
Mapping
of query
results
33. Steffen Staab Seamless Semantics 34
From artists to songs
Observations
• SPARQL queries are strings
• Results are strings
• Requires good understanding of the data source
RDF Typing is lost
34. Steffen Staab Seamless Semantics 35
Programming Language Support for RDF Access
Static Typing
Errors detected before
execution
Misspelling discovered
by compiler!
Anectode: 2nd place
because of misspelt code
Static types are form of
documentation
Less knowledge about
data source required
Better IDE integration /
autocompletion
Code generation
• Sommer
• Winter
• OntoMDE
Dynamic Typing
E.g. ActiveRDF
(Oren et al 2007))
“convention over
configuration”
dynamic
metaprogramming
allows for slick code
36. Steffen Staab Seamless Semantics 37
c1
Programming with Linked Data
Tasks of the Programmer
1 Schema exploration
2 Programming
code types
3 Programming queries
4 Programming procedures
for
• creating,
• manipulating,
• persisting
objects
37. Steffen Staab Seamless Semantics 38
Node Path Query Language Using Autocompletion
Exploration of classes
38. Steffen Staab Seamless Semantics 39
Node Path Query Language Using Autocompletion
Exploration of classes
Exploration of relations
39. Steffen Staab Seamless Semantics 40
Node Path Query Language: Query Formulation
Exploration of classes
Exploration of relations
Querying for instances
Type
set of mo:MusicArtist
No definition or
declaration needed
40. Steffen Staab Seamless Semantics 41
Node Path Query Language for Code Development
Exploration of classes
Exploration of relations
Querying for instances
Developing code with queries
All translated into SPARQL queries at
• Development time
• Type inference at compile time
(but also as part of IDE)
• Querying again at run time
One language to bind them all
41. Steffen Staab Seamless Semantics 42
Node Path Query Language for Code Development
Exploration of classes
Exploration of relations
Querying for instances
Developing code with queries
Developing code with new classes
All translated into SPARQL queries at
• Development time
• Run time update
• Persistence!
42. Steffen Staab Seamless Semantics 43
NPQL
NPQL (Node Path Query Language)
• Intensional Queries
Describing RDF classes and properties
for reuse in IDE and in host language
metaprogramming
• Extensional Queries
Class instances and property instances
• Compilation to SPARQL for reuse of existing
endpoints
Ongoing discussion
about details of NPQL
43. Steffen Staab Seamless Semantics 44
LITEQ
NPQL (Node Path Query Language)
• Intensional Queries
• Extensional Queries
• Compilation to SPARQL
LITEQ (Language Integrated Types, Extensions and Queries)
• Implementation of NPQL as F# Type Provider in Visual Studio
• Autocompletion using NPQL queries
• Automatic typing
of extensional query results
by intensional queries
44. Steffen Staab Seamless Semantics 45
Outlook: Programming with Linked Data
• More expressive query languages
– Derived data types in tractable description logics!
• More precise combined type inference
– (derived) type from data source
– type inference in programming language
• Programming across data sources
– Federated queries
– Linktraversal-based queries (the unknown sources)
• Integration of schema induction
– Low quality of schema/ontologies
• Improved autocompletion
46. Steffen Staab Seamless Semantics 47
Issue: From Data Publishing to
Unknown Data Understanding
Cognition
Storytelling
Pragmatics
Ontology Patterns
Conceptual Modeling
Metamodels
...
Quantity
Pertinence
Manner
47. Steffen Staab Seamless Semantics 48
What is missing?
...a lot...
• Indexing
• Search
• Data and schema quality
• Pragmatics
• ...
48. Steffen Staab Seamless Semantics 49
Semantic
Web
Social Web &
Web Retrieval
Interactive Web &
Human Computing
Web &
Economy
Software &
Services
Computational
Social Science
Thank You!