This is part 3 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
Investigating Community Implementation of the GoodRelations OntologyRichard Cyganiak
The document analyzes usage of the GoodRelations ontology for publishing structured data on the web. It finds that major retailers like Best Buy are the main adopters and publishes GoodRelations data in their product pages using RDFa. The data contains information about companies, offers and products but lacks detailed product specifications. Reasoning over the data shows support for subclass and subproperty inference but not more complex rules. The study aims to understand adoption of the ontology and identify areas for improvement.
Web Ontologies: Lessons Learned from Conceptual Modeling at ScaleMartin Hepp
Ontologies are a key component of semantic systems of all kinds, including the Semantic Web vision and Linked Open Data initiatives. In this talk, I will summarize work towards a theory of the technical, economical, and cognitive aspects of ontologies in large, distributed settings, and present design patterns and a skeletton methodology for ontology engineering in this environment. The theoretical aspects will be combined by practical examples of challenges and solutions in the context of schema.org.
The Semantic Web – A Vision Come True, or Giving Up the Great Plan?Martin Hepp
The document discusses the current state and future of the Semantic Web and linked data initiatives. It notes several successes such as the Linked Open Data cloud and schemas like Schema.org and GoodRelations. However, it argues that the original vision of the Semantic Web, which aimed to allow computers to help process information by applying structured data standards at web scale, has not fully been realized. Schemas like Schema.org focus more on information extraction than direct data consumption. The document calls for challenging assumptions through empirical analysis rather than ideological debates.
Extending schema.org with GoodRelations and www.productontology.orgMartin Hepp
These are the slides from my short presentation at the schema.org workshop on September 21, 2011. They sketch how schema.org and GoodRelations can be used in combination for sending richer data from shop sites to search engines and browser extensions, helping businesses to articulate their value proposition as data.
Advertising with Linked Data in Web ContentMartin Hepp
Advertising with Linked Data in Web Content: From Semantic SEO to E-Commerce on the Web 3.0
Slides and audio from my talk given at the Knowledge Engineering Group of the University of Economics Prague.
http://keg.vse.cz/seminar.php?datetime=2011-04-06
The Semantic Web and its Impact on International WebsitesMartin Hepp
In this presentation, given at the International Search Summit 2010 in Londin, I discuss how rich data embedded inside Web pages via RDFa can be used to make the individual value proposition remain intact across the web - thus preventing consumers and price comparison engines from flattening your individual offer to the price alone.
Slides from my talk at the 3rd KRDB school on Trends in the Web of Data, September 18, Brixen-Bressanone, Italy.
http://www.inf.unibz.it/krdb/school/2010/
ISKO 2010: Linked Data in E-Commerce – The GoodRelations OntologyMartin Hepp
More than 50% of a developed nation's Gross Domestic Product is used for establishing and maintaining the exchange of goods and services, and a large share of that is consumed for the search for potential suppliers and consumers. A key variable that determines that effort is the specificity of the objects being exchanged, which is generally on the rise: We produce and consume much more specific objects than a decade ago.
In this talk, I will outline how Linked Data can be used to weave a giant graph of information about products, offers, stores, and related facts. This will reduce the effort for business matchmaking on a Web scale. Centerpiece of that graph is the GoodRelations ontology, a global schema for exposing such facts as Linked Data on the Web. GoodRelations is the second most popular conceptual schema on the Web of Data and one of the few examples of academic research in the field that has been adopted by several Fortune 500 companies, like BestBuy or Yahoo.
More information on GoodRelations is at http://purl.org/goodrelations/
ISKO2010: Linked Data in E-Commerce – The GoodRelations OntologyMartin Hepp
This document discusses Linked Data in e-commerce and the GoodRelations ontology. It provides an overview of the GoodRelations ontology, which was created to represent commerce data on the web in a structured way. It aims to reduce transaction costs and improve search by linking related data elements, such as products to product models, offers to stores, and companies to stores. The ontology has seen significant adoption by major businesses and supports over 16% of all triples. It provides a global schema for representing commerce data to enable queries, extraction and reuse across different sources on the web.
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
SEO, RDFa, and GoodRelations: An Implementation by a Major Online RetailerMartin Hepp
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
SEO, RDFa, and GoodRelations - An Implementation by a Major Online RetailerMartin Hepp
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
Goodrelations Presentation from SemTech 2010Martin Hepp
Slides from my talk at the Semantic Technology Conference 2010 in the session
"Semantic Tools for More Profitable Online Commerce"
http://semtech2010.semanticuniverse.com/sessionPop.cfm?confid=42&proposalid=2930
In this presentation, I explain how the new Facebook Open Graph Protocol can be used by any business, and how it can be combined with the GoodRelations vocabulary for putting rich store, price, product, or service information directly into your pages.
More information: http://www.ebusiness-unibw.org/wiki/GoodRelationsQuickstart
GoodRelations & RDFa for Deep Comparison Shopping on a Web ScaleMartin Hepp
GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale: Can the Web of Data Reduce Price Competition and Increase Customer Satisfaction?
See http://purl.org/goodrelations/ for the official page.
These are my slides from the Zurich and Chicago Semantic Web Meet-up presentation.
Web Site Visibility in the Giant Graph of Commerce DataMartin Hepp
In this talk, I explain the impact of the GoodRelations vocabulary, the RDFa syntax for rich meta-data, and the Linked Data initiative for Search Engine Optimization (SEO).
This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This document provides an agenda for a hands-on workshop on using the GoodRelations ontology, RDFa, and Yahoo SearchMonkey to publish structured data on e-commerce websites. The workshop covers an overview of the semantic web and GoodRelations ontology, using RDFa to embed semantic annotations in web pages, hands-on exercises for annotating a sample web shop with GoodRelations, and techniques for publishing and querying semantic web data. Attendees will learn how to represent e-commerce data using GoodRelations and RDFa, publish their structured data on the web, and write SPARQL queries to search over semantic web datasets.
Web 3.0. für Spezialversender: Weniger Preiswettbewerb durch maschinengeeignete Produktbeschreibungen im WWW
Die gute Wettbewerbsposition vieler Versandhändler beruht darauf, dass sie eine große Vielfalt an sehr spezifischen Produkte überregional anbieten. Leider müssen sich potenzielle Kunden mit heutigen Suchmaschinen bei ihrer Suche viel zu früh auf sehr wenige Produktmodelle beschränken, die dann der Ausgangspunkt für intensiven Preisvergleich sind. Individuelle Stärken der Anbieter und individuelle Präferenzen der Kunden werden so nicht ausreichend berücksichtigt. Kunden entscheiden sich daher vorzeitig und auf Basis einer unvollständigen Informationslage für ein Modell und beachten dann nur noch den Preis.
In diesem Vortrag wird erklärt, wie man mit neuartiger Web-Technologie den Preiswettbewerb im Versandhandel reduzieren und die individuellen Stärken und Eigenschaften der Produkte mit weniger Verlust zum Kunden übermitteln kann. Dieser Ansatz mit dem Namen "GoodRelations" wurde von Prof. Hepp an der Universität der Bundeswehr in München entwickelt und ist heute Kern der eCommerce-Architektur von Yahoo. Gerade für Spezialversender bietet dies die Gelegenheit, neue Kunden zu gewinnen und die Marge zu steigern.
eCl@ss im Web: Mehr Kunden und bessere Stammdaten für jeden eCl@ss-AnwenderMartin Hepp
This talk summarizes how the Web of Linked Data and the GoodRelations/eClassOWL standards can be used to exchange structured product and offer information by embedding additional meta-data directly into corporate Web pages.
Product Variety, Consumer Preferences, and Web Technology: Can the Web of Dat...Martin Hepp
E-Commerce on the basis of current Web technology has created fierce competition with a strong focus on price. Despite a huge variety of offerings and diversity in the individual preferences of consumers, current Web search fosters a very early reduction of the search space to just a few commodity makes and models. As soon as this reduction has taken place, search is reduced to flat price comparison.
This is unfortunate for the manufacturers and vendors, because their individual value proposition for a particular customer may get lost in the course of communication over the Web, and it is unfortunate for the customer, because he/she may not get the most utility for the money based on her/his preference function. A key limitation is that consumers cannot search using a consolidated view on all alternative offers across the Web.
In this talk, I will (1) analyze the technical effects of products and services search on the Web that cause this mismatch between supply and demand, (2) evaluate how the GoodRelations vocabulary and the current Web of Data movement can improve the situation, (3) give a brief hands-on demonstration, and (4) sketch business models for the various market participants.
Current Web technology results in overly fierce price competition, because search engines force us to reduce our search space to early in the decision making process to just a few product models, on which we then do simplistic price comparison shopping. The presentation sketches how the GoodRelations Web of Data Schema at http://purl.org/goodrelations/ can reduce price competition and increase customer satisfaction.
Semantic Web-based E-Commerce: The GoodRelations OntologyMartin Hepp
Semantic Web-based E-Commerce: The GoodRelations Ontology
Presentation at the Semantic Technology Conference, June 15, 2009
http://purl.org/goodrelations/
myOntology: Community-driven Vocabulary Design and Maintenance for E-CommerceMartin Hepp
The myOntology platform is a prototype for creating and maintaining Web vocabularies with minimal entry barriers for contributing domain experts. In this brief talk, I will summarize the key design paradigms and target applications, and demonstrate the current version.
A Short Introduction to Semantic Web-based E-Commerce: The GoodRelations Voca...Martin Hepp
In this slidecast, I will give a brief overview of how the next generation of Web technology, known as the "Web of Data" or the Semantic Web will improve our e-commerce shopping experience. In particular, I will explain how the Web of Data - will allow for more precise search for suppliers for our particular needs and - how manufacturers can support retailers in presenting their products including all distinct features.
For more information, see http://purl.org/goodrelations
The GoodRelations Ontology: Making Semantic Web-based E-Commerce a RealityMartin Hepp
A promising application domain for Semantic Web technology is the annotation of products and services offerings on the Web so that consumers and enterprises can search for suitable suppliers using products and services ontologies. While there has been substantial progress in developing ontologies for types of products and services, namely eClassOWL, this alone does not provide the representational means required for e-commerce on the Semantic Web. Particularly missing is an ontology that allows describing the relationships between (1) Web resources, (2) offerings made by means of those Web resources, (3) legal entities, (4) prices, (5) terms and conditions, and (6) the aforementioned ontologies for products and services. (1NDN)
In the talk, I will explain the need and potential of the GoodRelations ontology, introduce its key conceptual elements, highlight several lessons learned, and summarize design decisions with respect to to modeling approaches and the appropriate language fragment, which may be relevant for other ontology projects, too.
Webinar - Top 5 Backup Mistakes MSPs and Businesses Make .pptxMSP360
Data loss can be devastating — especially when you discover it while trying to recover. All too often, it happens due to mistakes in your backup strategy. Whether you work for an MSP or within an organization, your company is susceptible to common backup mistakes that leave data vulnerable, productivity in question, and compliance at risk.
Join 4-time Microsoft MVP Nick Cavalancia as he breaks down the top five backup mistakes businesses and MSPs make—and, more importantly, explains how to prevent them.
ISKO2010: Linked Data in E-Commerce – The GoodRelations OntologyMartin Hepp
This document discusses Linked Data in e-commerce and the GoodRelations ontology. It provides an overview of the GoodRelations ontology, which was created to represent commerce data on the web in a structured way. It aims to reduce transaction costs and improve search by linking related data elements, such as products to product models, offers to stores, and companies to stores. The ontology has seen significant adoption by major businesses and supports over 16% of all triples. It provides a global schema for representing commerce data to enable queries, extraction and reuse across different sources on the web.
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
SEO, RDFa, and GoodRelations: An Implementation by a Major Online RetailerMartin Hepp
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
SEO, RDFa, and GoodRelations - An Implementation by a Major Online RetailerMartin Hepp
This document discusses implementing semantic SEO through GoodRelations vocabulary and RDFa markup on product pages for a major online retailer. It provides benefits like improved rendering on Yahoo and displaying price information in Google. Implementing requires adding 15-30 lines of RDFa markup per template with minimal increase to page size and load time. Resources for getting started include a snippet generator and Magento extension. Overall it is a straightforward way to gain SEO and search benefits with little downside.
Goodrelations Presentation from SemTech 2010Martin Hepp
Slides from my talk at the Semantic Technology Conference 2010 in the session
"Semantic Tools for More Profitable Online Commerce"
http://semtech2010.semanticuniverse.com/sessionPop.cfm?confid=42&proposalid=2930
In this presentation, I explain how the new Facebook Open Graph Protocol can be used by any business, and how it can be combined with the GoodRelations vocabulary for putting rich store, price, product, or service information directly into your pages.
More information: http://www.ebusiness-unibw.org/wiki/GoodRelationsQuickstart
GoodRelations & RDFa for Deep Comparison Shopping on a Web ScaleMartin Hepp
GoodRelations & RDFa for Deep Comparison Shopping on a Web Scale: Can the Web of Data Reduce Price Competition and Increase Customer Satisfaction?
See http://purl.org/goodrelations/ for the official page.
These are my slides from the Zurich and Chicago Semantic Web Meet-up presentation.
Web Site Visibility in the Giant Graph of Commerce DataMartin Hepp
In this talk, I explain the impact of the GoodRelations vocabulary, the RDFa syntax for rich meta-data, and the Linked Data initiative for Search Engine Optimization (SEO).
This is part 1 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This is part 2 of the ISWC 2009 tutorial on the GoodRelations ontology and RDFa for e-commerce on the Web of Linked Data.
See also
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
This document provides an agenda for a hands-on workshop on using the GoodRelations ontology, RDFa, and Yahoo SearchMonkey to publish structured data on e-commerce websites. The workshop covers an overview of the semantic web and GoodRelations ontology, using RDFa to embed semantic annotations in web pages, hands-on exercises for annotating a sample web shop with GoodRelations, and techniques for publishing and querying semantic web data. Attendees will learn how to represent e-commerce data using GoodRelations and RDFa, publish their structured data on the web, and write SPARQL queries to search over semantic web datasets.
Web 3.0. für Spezialversender: Weniger Preiswettbewerb durch maschinengeeignete Produktbeschreibungen im WWW
Die gute Wettbewerbsposition vieler Versandhändler beruht darauf, dass sie eine große Vielfalt an sehr spezifischen Produkte überregional anbieten. Leider müssen sich potenzielle Kunden mit heutigen Suchmaschinen bei ihrer Suche viel zu früh auf sehr wenige Produktmodelle beschränken, die dann der Ausgangspunkt für intensiven Preisvergleich sind. Individuelle Stärken der Anbieter und individuelle Präferenzen der Kunden werden so nicht ausreichend berücksichtigt. Kunden entscheiden sich daher vorzeitig und auf Basis einer unvollständigen Informationslage für ein Modell und beachten dann nur noch den Preis.
In diesem Vortrag wird erklärt, wie man mit neuartiger Web-Technologie den Preiswettbewerb im Versandhandel reduzieren und die individuellen Stärken und Eigenschaften der Produkte mit weniger Verlust zum Kunden übermitteln kann. Dieser Ansatz mit dem Namen "GoodRelations" wurde von Prof. Hepp an der Universität der Bundeswehr in München entwickelt und ist heute Kern der eCommerce-Architektur von Yahoo. Gerade für Spezialversender bietet dies die Gelegenheit, neue Kunden zu gewinnen und die Marge zu steigern.
eCl@ss im Web: Mehr Kunden und bessere Stammdaten für jeden eCl@ss-AnwenderMartin Hepp
This talk summarizes how the Web of Linked Data and the GoodRelations/eClassOWL standards can be used to exchange structured product and offer information by embedding additional meta-data directly into corporate Web pages.
Product Variety, Consumer Preferences, and Web Technology: Can the Web of Dat...Martin Hepp
E-Commerce on the basis of current Web technology has created fierce competition with a strong focus on price. Despite a huge variety of offerings and diversity in the individual preferences of consumers, current Web search fosters a very early reduction of the search space to just a few commodity makes and models. As soon as this reduction has taken place, search is reduced to flat price comparison.
This is unfortunate for the manufacturers and vendors, because their individual value proposition for a particular customer may get lost in the course of communication over the Web, and it is unfortunate for the customer, because he/she may not get the most utility for the money based on her/his preference function. A key limitation is that consumers cannot search using a consolidated view on all alternative offers across the Web.
In this talk, I will (1) analyze the technical effects of products and services search on the Web that cause this mismatch between supply and demand, (2) evaluate how the GoodRelations vocabulary and the current Web of Data movement can improve the situation, (3) give a brief hands-on demonstration, and (4) sketch business models for the various market participants.
Current Web technology results in overly fierce price competition, because search engines force us to reduce our search space to early in the decision making process to just a few product models, on which we then do simplistic price comparison shopping. The presentation sketches how the GoodRelations Web of Data Schema at http://purl.org/goodrelations/ can reduce price competition and increase customer satisfaction.
Semantic Web-based E-Commerce: The GoodRelations OntologyMartin Hepp
Semantic Web-based E-Commerce: The GoodRelations Ontology
Presentation at the Semantic Technology Conference, June 15, 2009
http://purl.org/goodrelations/
myOntology: Community-driven Vocabulary Design and Maintenance for E-CommerceMartin Hepp
The myOntology platform is a prototype for creating and maintaining Web vocabularies with minimal entry barriers for contributing domain experts. In this brief talk, I will summarize the key design paradigms and target applications, and demonstrate the current version.
A Short Introduction to Semantic Web-based E-Commerce: The GoodRelations Voca...Martin Hepp
In this slidecast, I will give a brief overview of how the next generation of Web technology, known as the "Web of Data" or the Semantic Web will improve our e-commerce shopping experience. In particular, I will explain how the Web of Data - will allow for more precise search for suppliers for our particular needs and - how manufacturers can support retailers in presenting their products including all distinct features.
For more information, see http://purl.org/goodrelations
The GoodRelations Ontology: Making Semantic Web-based E-Commerce a RealityMartin Hepp
A promising application domain for Semantic Web technology is the annotation of products and services offerings on the Web so that consumers and enterprises can search for suitable suppliers using products and services ontologies. While there has been substantial progress in developing ontologies for types of products and services, namely eClassOWL, this alone does not provide the representational means required for e-commerce on the Semantic Web. Particularly missing is an ontology that allows describing the relationships between (1) Web resources, (2) offerings made by means of those Web resources, (3) legal entities, (4) prices, (5) terms and conditions, and (6) the aforementioned ontologies for products and services. (1NDN)
In the talk, I will explain the need and potential of the GoodRelations ontology, introduce its key conceptual elements, highlight several lessons learned, and summarize design decisions with respect to to modeling approaches and the appropriate language fragment, which may be relevant for other ontology projects, too.
Webinar - Top 5 Backup Mistakes MSPs and Businesses Make .pptxMSP360
Data loss can be devastating — especially when you discover it while trying to recover. All too often, it happens due to mistakes in your backup strategy. Whether you work for an MSP or within an organization, your company is susceptible to common backup mistakes that leave data vulnerable, productivity in question, and compliance at risk.
Join 4-time Microsoft MVP Nick Cavalancia as he breaks down the top five backup mistakes businesses and MSPs make—and, more importantly, explains how to prevent them.
UiPath Agentic Automation: Community Developer OpportunitiesDianaGray10
Please join our UiPath Agentic: Community Developer session where we will review some of the opportunities that will be available this year for developers wanting to learn more about Agentic Automation.
DevOpsDays SLC - Platform Engineers are Product Managers.pptxJustin Reock
Platform Engineers are Product Managers: 10x Your Developer Experience
Discover how adopting this mindset can transform your platform engineering efforts into a high-impact, developer-centric initiative that empowers your teams and drives organizational success.
Platform engineering has emerged as a critical function that serves as the backbone for engineering teams, providing the tools and capabilities necessary to accelerate delivery. But to truly maximize their impact, platform engineers should embrace a product management mindset. When thinking like product managers, platform engineers better understand their internal customers' needs, prioritize features, and deliver a seamless developer experience that can 10x an engineering team’s productivity.
In this session, Justin Reock, Deputy CTO at DX (getdx.com), will demonstrate that platform engineers are, in fact, product managers for their internal developer customers. By treating the platform as an internally delivered product, and holding it to the same standard and rollout as any product, teams significantly accelerate the successful adoption of developer experience and platform engineering initiatives.
Web & Graphics Designing Training at Erginous Technologies in Rajpura offers practical, hands-on learning for students, graduates, and professionals aiming for a creative career. The 6-week and 6-month industrial training programs blend creativity with technical skills to prepare you for real-world opportunities in design.
The course covers Graphic Designing tools like Photoshop, Illustrator, and CorelDRAW, along with logo, banner, and branding design. In Web Designing, you’ll learn HTML5, CSS3, JavaScript basics, responsive design, Bootstrap, Figma, and Adobe XD.
Erginous emphasizes 100% practical training, live projects, portfolio building, expert guidance, certification, and placement support. Graduates can explore roles like Web Designer, Graphic Designer, UI/UX Designer, or Freelancer.
For more info, visit erginous.co.in , message us on Instagram at erginoustechnologies, or call directly at +91-89684-38190 . Start your journey toward a creative and successful design career today!
Autonomous Resource Optimization: How AI is Solving the Overprovisioning Problem
In this session, Suresh Mathew will explore how autonomous AI is revolutionizing cloud resource management for DevOps, SRE, and Platform Engineering teams.
Traditional cloud infrastructure typically suffers from significant overprovisioning—a "better safe than sorry" approach that leads to wasted resources and inflated costs. This presentation will demonstrate how AI-powered autonomous systems are eliminating this problem through continuous, real-time optimization.
Key topics include:
Why manual and rule-based optimization approaches fall short in dynamic cloud environments
How machine learning predicts workload patterns to right-size resources before they're needed
Real-world implementation strategies that don't compromise reliability or performance
Featured case study: Learn how Palo Alto Networks implemented autonomous resource optimization to save $3.5M in cloud costs while maintaining strict performance SLAs across their global security infrastructure.
Bio:
Suresh Mathew is the CEO and Founder of Sedai, an autonomous cloud management platform. Previously, as Sr. MTS Architect at PayPal, he built an AI/ML platform that autonomously resolved performance and availability issues—executing over 2 million remediations annually and becoming the only system trusted to operate independently during peak holiday traffic.
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...Raffi Khatchadourian
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a refactoring tool that automatically determines when it is safe and potentially advantageous to migrate imperative DL code to graph execution and vice-versa.
Viam product demo_ Deploying and scaling AI with hardware.pdfcamilalamoratta
Building AI-powered products that interact with the physical world often means navigating complex integration challenges, especially on resource-constrained devices.
You'll learn:
- How Viam's platform bridges the gap between AI, data, and physical devices
- A step-by-step walkthrough of computer vision running at the edge
- Practical approaches to common integration hurdles
- How teams are scaling hardware + software solutions together
Whether you're a developer, engineering manager, or product builder, this demo will show you a faster path to creating intelligent machines and systems.
Resources:
- Documentation: https://on.viam.com/docs
- Community: https://discord.com/invite/viam
- Hands-on: https://on.viam.com/codelabs
- Future Events: https://on.viam.com/updates-upcoming-events
- Request personalized demo: https://on.viam.com/request-demo
Config 2025 presentation recap covering both daysTrishAntoni1
Config 2025 What Made Config 2025 Special
Overflowing energy and creativity
Clear themes: accessibility, emotion, AI collaboration
A mix of tech innovation and raw human storytelling
(Background: a photo of the conference crowd or stage)
AI 3-in-1: Agents, RAG, and Local Models - Brent LasterAll Things Open
Presented at All Things Open RTP Meetup
Presented by Brent Laster - President & Lead Trainer, Tech Skills Transformations LLC
Talk Title: AI 3-in-1: Agents, RAG, and Local Models
Abstract:
Learning and understanding AI concepts is satisfying and rewarding, but the fun part is learning how to work with AI yourself. In this presentation, author, trainer, and experienced technologist Brent Laster will help you do both! We’ll explain why and how to run AI models locally, the basic ideas of agents and RAG, and show how to assemble a simple AI agent in Python that leverages RAG and uses a local model through Ollama.
No experience is needed on these technologies, although we do assume you do have a basic understanding of LLMs.
This will be a fast-paced, engaging mixture of presentations interspersed with code explanations and demos building up to the finished product – something you’ll be able to replicate yourself after the session!
Transcript: Canadian book publishing: Insights from the latest salary survey ...BookNet Canada
Join us for a presentation in partnership with the Association of Canadian Publishers (ACP) as they share results from the recently conducted Canadian Book Publishing Industry Salary Survey. This comprehensive survey provides key insights into average salaries across departments, roles, and demographic metrics. Members of ACP’s Diversity and Inclusion Committee will join us to unpack what the findings mean in the context of justice, equity, diversity, and inclusion in the industry.
Results of the 2024 Canadian Book Publishing Industry Salary Survey: https://publishers.ca/wp-content/uploads/2025/04/ACP_Salary_Survey_FINAL-2.pdf
Link to presentation slides and transcript: https://bnctechforum.ca/sessions/canadian-book-publishing-insights-from-the-latest-salary-survey/
Presented by BookNet Canada and the Association of Canadian Publishers on May 1, 2025 with support from the Department of Canadian Heritage.
Integrating FME with Python: Tips, Demos, and Best Practices for Powerful Aut...Safe Software
FME is renowned for its no-code data integration capabilities, but that doesn’t mean you have to abandon coding entirely. In fact, Python’s versatility can enhance FME workflows, enabling users to migrate data, automate tasks, and build custom solutions. Whether you’re looking to incorporate Python scripts or use ArcPy within FME, this webinar is for you!
Join us as we dive into the integration of Python with FME, exploring practical tips, demos, and the flexibility of Python across different FME versions. You’ll also learn how to manage SSL integration and tackle Python package installations using the command line.
During the hour, we’ll discuss:
-Top reasons for using Python within FME workflows
-Demos on integrating Python scripts and handling attributes
-Best practices for startup and shutdown scripts
-Using FME’s AI Assist to optimize your workflows
-Setting up FME Objects for external IDEs
Because when you need to code, the focus should be on results—not compatibility issues. Join us to master the art of combining Python and FME for powerful automation and data migration.
fennec fox optimization algorithm for optimal solutionshallal2
Imagine you have a group of fennec foxes searching for the best spot to find food (the optimal solution to a problem). Each fox represents a possible solution and carries a unique "strategy" (set of parameters) to find food. These strategies are organized in a table (matrix X), where each row is a fox, and each column is a parameter they adjust, like digging depth or speed.
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ISWC GoodRelations Tutorial Part 3
1. The Web of Data for E-Commerce in Brief
A Hands-on Introduction to the GoodRelations Ontology,
RDFa, and Yahoo! SearchMonkey
October 25, 2009
Westfields Conference Center near Washington, DC, USA
Martin Hepp
Universität der Bundeswehr München, Munich, Germany
Richard Cyganiak
Digital Enterprise Research Institute (DERI), Ireland
2. Logistics
08:30-10:30 Overview and Motivation: Why the Web of Data is Now 30’
Quick Review of Prerequisites 15’
The GoodRelations Ontology: E-Commerce on the Web of Data 75’
10:30-10:45 Coffee Break
10:45-12:30 RDFa: Bridging the Web of Documents with the Web of Data 45’
Expressing GoodRelations in RDFa: A Running Example 30’
GoodRelations – Advanced Topics 30’
12:30-13:30 Lunch Break
13:30-16:00 Hands-on Exercise: Annotating a Web Shop 60’
Querying the Web of Data for Offerings – SPARQL 15’
Querying the Web of Data – Exercises 15’
16:00-16:30 Coffee Break
16:30-18:00 Publishing Semantic Web Data: Make Your RDF Available 30’
Yahoo SearchMonkey and Yahoo BOSS 45’
Discussion, Conclusion, Feedback Round 15’
2
8. The GoodRelations Vocabulary
• A universal and free Web
vocabulary for adding
product and offering data
to your Web pages.
• Compatible with all relevant
W3C standards and
recommendations
– RDF
– OWL
http://purl.org/goodrelations/
8
9. GoodRelations: One Single Schema for
A Consolidated View on E-Commerce
Data Extraction
Arbitrary Query and Reuse
Manufacturers
Retailers
Payment
Delivery
Product Model Warranty
Master Data Shop Spare Parts &
Offerings Auctions Consumables
9
10. GoodRelations Design Principles
• Keep simple things Lightweight Heavyweight
simple and make Web of Data Web of Data
complex things
possible LOD OWL DL
• Cater for LOD and OWL RDF + a little bit
DL worlds
• Academically sound
• Industry-strength
engineering
• Practically relevant
10
11. GoodRelations: License
• Permanent,
royalty-free access
for commercial and
non-commercial use.
http://purl.org/goodrelations/
11
12. GoodRelations vs. eClassOWL etc.
GoodRelations: Products and Services
Companies & Offers Ontologies
• BusinessEntity • Industry-specific
• Offering ontologies for describing
• WarrantyPromise types of products and
services
• …
– eClassOWL
– freeClassOWL
– CEO - Consumer
Electronics Ontology
25.10.2009 12
14. Albert Einstein on Ontology
Engineering
"Make everything as simple as possible, but
not simpler.“
Albert Einstein
14
15. Basic Structure of Offers:
Agent-Promise-Object Principle
Object or
Agent 1 Promise
Happening
Compensation Transfer of
Rights
Agent 2
15
16. The Minimal Scenario
• Scope
– Business entity
– Points-of-sale
– Opening hours
– Payment options
• Suitable for
– Every business
– E-commerce and
brick-and-mortar
16
17. The Simple Scenario
• Scope: Minimal scenario plus
– Range of products or services
– Business functions
– Eligible regions or customer
types
– Delivery options
• Suitable for
– Any business: E-Commerce and
brick-and-mortar
– Specific products or services
17
18. The Comprehensive Scenario
• Scope: Simple scenario plus
– Individual products or services
– Product features
– Pricing, rebates, etc.
– Availability
• Suitable for
– Any business: E-commerce and
brick-and-mortar
– Specific products or services
– Structured product database
18
19. Product Model Data Scenario
• Scope
– Individual product
models
– Quantitative and
qualitative features
• Suitable for
– Manufacturers of
commodities
19
20. Products vs. Product Models
Product Model: Products: What you buy,
“Datasheet” possess, and use
• Intangible object • (Mostly) tangible object
• “Ferdinand Porsche that can be owned and
created the VW Beetle” used.
• Not a subclass of • My VW Beetle has a
products! mileage of 42,000
• Its serial number is
123456789
25.10.2009 20
21. Product Models vs. Products
• Product models define the defaults for a
subset of a products features
ex:FordTModel ex:hasWeight “400”.
implies that likely (!)
ex:MyFordT ex:hasWeight “400”.
Important: Only products are offered for sale etc
25.10.2009 21
22. Products: Actual vs. Anonymous Individuals
• Sometimes you offer a particular object
– myMacBookPro
• Sometimes you offer products from a set
of anonymous instances
– A retailer does not expose every single book
copy on stock over the Web
– Those are only quantified existentially.
25.10.2009 22
23. Products: Actual vs. Anonymous Individuals
• Sometimes you offer a particular object
– Example: eBay auction
– gr:ActualProductOrServiceInstance
• Sometimes you offer products from a set of
anonymous instances
– Example: New books on Amazon
– gr:ProductOrServicesSomeInstancesPlaceholder
25.10.2009 23
26. Key Questions for Modeling with GoodRelations
• Who is making the offer?
– gr:BusinessEntity
• Which object is being offered?
– gr:ActualProductOrServiceInstance
– gr:ProductOrServicesSomeInstancesPlaceholder
• What are the terms and conditions of
the business transaction being offered?
– gr:Offering
25.10.2009 26
28. The Minimal Scenario
• Scope
– Business entity
– Points-of-sale
– Opening hours
– Payment options
• Suitable for
– Every business
– E-commerce and
brick-and-mortar
28
34. The Simple Scenario
• Scope: Minimal scenario plus
– Range of products or services
– Business functions
– Eligible regions or customer
types
– Delivery options
• Suitable for
– Any business: E-Commerce and
brick-and-mortar
– Specific products or services
34
35. Alternative Ways of Describing the
Product or Service
• gr:ProductOrServiceSomeInstancesPlaceholder + rdfs:comment
– Textual
• Product or service ontology
– eclassOWL
– freeClass
• DBPedia URIs
• Turn proprietary hierarchy into pseudo-ontology
25.10.2009 35
43. The Comprehensive Scenario
• Scope: Simple scenario plus
– Individual products or services
– Product features
– Pricing, rebates, etc.
– Availability
• Suitable for
– Any business: E-commerce and
brick-and-mortar
– Specific products or services
– Structured product database
43
44. Alternative Ways of Describing the
Product or Service
• Omit it
– Minimal Example: Describe just your business & store
• gr:ProductOrServiceSomeInstancesPlaceholder + rdfs:comment
– Textual
• Product or service ontology
– eclassOWL
– freeClass
• DBPedia URIs
• Turn proprietary hierarchy into pseudo-ontology
25.10.2009 44
46. Product Properties
• gr:qualitativeProductOrServiceProperty
– Links to a gr:QualitativeValue instance
• gr:quantitativeProductOrServiceProperty
– Links to a gr:QuantitativeValueFloat or
gr:QuantitativeValueInteger instance
• gr:datatypeProductOrServiceProperty
– Links to a literal value
– For strings, boolean, datetime, and digits that are no
integer numbers
25.10.2009 46
55. The Comprehensive Scenario RDF/N3
• See GoodRelations Primer at
http://www.heppnetz.de/projects/goodrelations/primer/
25.10.2009 55
64. Other Ontologies for GoodRelations
• freeClassOWL for construction and
building materials
• CEO – Consumer Electronics Ontology
25.10.2009 64
65. Product Model Data Scenario
• Scope
– Individual product
models
– Quantitative and
qualitative features
• Suitable for
– Manufacturers of
commodities
65
68. Product Models Define Default Values
Intuition: An actual product inherits all technical features from its make
and model, unless specified at for that particular individual specifically.
25.10.2009 68
70. Quizzes
• What is the difference between
gr:ProductOrService and
gr:ProductOrServiceModel?
• What is the difference between
gr:ActualProductOrService and
gr:ProductOrServiceSomeInstancesPlaceholder?
• How are quantitative values modeled in
GoodRelations?
• What does the string “C62” stand for?
25.10.2009 70