This document provides an overview of a hands-on tutorial on using the GoodRelations ontology, RDFa, and Yahoo! SearchMonkey to annotate e-commerce data on the Semantic Web. The learning goals are to use GoodRelations and RDFa to augment websites with product details, publish structured data using RDFa, and query the data using SPARQL. The agenda includes introductions, motivations for the Semantic Web, tutorials on GoodRelations and RDFa, exercises annotating a web shop, and demonstrations of querying and publishing semantic data.
This is part 4 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
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.
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/
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.
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
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/
Extracting Multilingual Natural-Language Patterns for RDF PredicatesDaniel Gerber
Most knowledge sources on the Data Web were extracted from structured or semi-structured data. Thus, they encompass solely a small fraction of the information available on the document-oriented Web. In this paper, we present BOA, a bootstrapping strategy for ex- tracting RDF from text. The idea behind BOA is to extract natural-language patterns that represent predicates found on the Data Web from unstructured data by using background knowledge from the Data Web. These patterns are then used to extract instance knowledge from natural-language text. This knowledge is finally fed back into the Data Web, therewith closing the loop. The approach followed by BOA is quasi independent of the language in which the corpus is written. We demonstrate our approach by applying it to four different corpora and two different languages. We evaluate BOA on these data sets using DBpedia as background knowledge. Our results show that we can extract several thousand new facts in one iteration with very high accuracy.
This is part 4 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
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.
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/
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.
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
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/
Extracting Multilingual Natural-Language Patterns for RDF PredicatesDaniel Gerber
Most knowledge sources on the Data Web were extracted from structured or semi-structured data. Thus, they encompass solely a small fraction of the information available on the document-oriented Web. In this paper, we present BOA, a bootstrapping strategy for ex- tracting RDF from text. The idea behind BOA is to extract natural-language patterns that represent predicates found on the Data Web from unstructured data by using background knowledge from the Data Web. These patterns are then used to extract instance knowledge from natural-language text. This knowledge is finally fed back into the Data Web, therewith closing the loop. The approach followed by BOA is quasi independent of the language in which the corpus is written. We demonstrate our approach by applying it to four different corpora and two different languages. We evaluate BOA on these data sets using DBpedia as background knowledge. Our results show that we can extract several thousand new facts in one iteration with very high accuracy.
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 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
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 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
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
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 4 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
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.
Extending the Data Warehouse with Hadoop - Hadoop world 2011Jonathan Seidman
Hadoop provides the ability to extract business intelligence from extremely large, heterogeneous data sets that were previously impractical to store and process in traditional data warehouses. The challenge now is in bridging the gap between the data warehouse and Hadoop. In this talk we’ll discuss some steps that Orbitz has taken to bridge this gap, including examples of how Hadoop and Hive are used to aggregate data from large data sets, and how that data can be combined with relational data to create new reports that provide actionable intelligence to business users.
Technical SEO (Pagination & Crawling) by Adam AudetteAdam Audette
How to build a business case, the difference between high potential impact and high reliability, some top misses with pagination, and some top crawling tips.
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
Advanced SEO Workshop, OMS 2012 Santa ClaraJohn Thyfault
Advanced search engine optimization stratgies to improve your search engine rankings and drive well qualified traffic to your website. Presented by John Thyfault, VP of Search Engine and Social Media Marketing, Beasley Direct Marketing
Slide From DataEngConf 2015 event.
LinkedIn is the professional profile of record for our 400M+ members globally, but many people don't realize the full potential of their LinkedIn profile – especially on mobile. Adding blogs, photos and other rich content to your profile on a small screen device can get tedious. That's why LinkedIn created Satori, a Hadoop tool that crawls the web and extracts data to discover members' professional content online. Satori uses machine learning techniques and leverages other open source tools like Nutch and Gobblin in order to help match members with relevant content in order to maximize their professional profile. In this talk, Nikolai Avteniev, Sr. Staff Engineer and Agile Software Developer at LinkedIn, will share his experience in building the product and discuss the challenges and opportunities encountered along the way.
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 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
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 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
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
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 4 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
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.
Extending the Data Warehouse with Hadoop - Hadoop world 2011Jonathan Seidman
Hadoop provides the ability to extract business intelligence from extremely large, heterogeneous data sets that were previously impractical to store and process in traditional data warehouses. The challenge now is in bridging the gap between the data warehouse and Hadoop. In this talk we’ll discuss some steps that Orbitz has taken to bridge this gap, including examples of how Hadoop and Hive are used to aggregate data from large data sets, and how that data can be combined with relational data to create new reports that provide actionable intelligence to business users.
Technical SEO (Pagination & Crawling) by Adam AudetteAdam Audette
How to build a business case, the difference between high potential impact and high reliability, some top misses with pagination, and some top crawling tips.
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
Advanced SEO Workshop, OMS 2012 Santa ClaraJohn Thyfault
Advanced search engine optimization stratgies to improve your search engine rankings and drive well qualified traffic to your website. Presented by John Thyfault, VP of Search Engine and Social Media Marketing, Beasley Direct Marketing
Slide From DataEngConf 2015 event.
LinkedIn is the professional profile of record for our 400M+ members globally, but many people don't realize the full potential of their LinkedIn profile – especially on mobile. Adding blogs, photos and other rich content to your profile on a small screen device can get tedious. That's why LinkedIn created Satori, a Hadoop tool that crawls the web and extracts data to discover members' professional content online. Satori uses machine learning techniques and leverages other open source tools like Nutch and Gobblin in order to help match members with relevant content in order to maximize their professional profile. In this talk, Nikolai Avteniev, Sr. Staff Engineer and Agile Software Developer at LinkedIn, will share his experience in building the product and discuss the challenges and opportunities encountered along the way.
DataEngConf: Building Satori, a Hadoop toll for Data Extraction at LinkedInHakka Labs
By Nikolai Avteniev (Sr Software Engineer, LinkedIn)
LinkedIn is the professional profile of record for our 370M+ members globally, but many people don't realize the full potential of their LinkedIn profile – especially on mobile. Adding blogs, photos and other rich content to your profile on a small screen device can get tedious. That's why LinkedIn created Satori, a Hadoop tool that crawls the web and extracts data to discover members' professional content online. Satori uses machine learning techniques and leverages other open source tools like Nutch and Gobblin in order to help match members with relevant content in order to maximize their professional profile. In this talk, Nikolai will share his experience in building the product and discuss the challenges and opportunities encountered along the way.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
How world-class product teams are winning in the AI era by CEO and Founder, P...
GoodRelations Tutorial Part 1
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. About the Organizers
Martin Hepp Richard Cyganiak
Professor, Head of Group PhD Researcher
Universität der Bundeswehr München Digital Enterprise Research Institute
Munich, Germany (DERI), Galway, Ireland
mhepp@computer.org richard.cyganiak@deri.org
http://www.heppnetz.de http://www.deri.ie
Previous affiliations: Universität Previous affiliations: FU Berlin,
Würzburg (Germany), Florida Gulf Germany
Coast University, IBM Zurich
Research Lab, DERI/STI
Innsbruck
25.10.2009 2
3. Learning Goals
Participants will learn
• to use
– the GoodRelations conceptual structures and
– the RDFa syntax
to augment static and dynamic Web sites by the various relevant
details of a commercial Web presence;
• RDFa modeling patterns for more complex RDF structures;
• to publish data on the Semantic Web and make it available for
indexing services, repositories, Yahoo SearchMonkey and
applications;
• to query the Web of Data using SPARQL, and
• the development of simple Yahoo SearchMonkey and Yahoo
BOSS applications.
25.10.2009 3
4. 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’
4
5. Resources: Information
• Wiki page
http://tr.im/srGx
http://www.ebusiness-unibw.org/wiki/Web_of_Data_for_E-Commerce_Tutorial_ISWC2009
• GoodRelations Primer
http://www.heppnetz.de/projects/goodrelations/primer/
• GoodRelations Documentation
http://purl.org/goodrelations/v1
• RDFa
http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014/
• SPARQL
http://www.w3.org/TR/rdf-sparql-query/
• Yahoo SearchMonkey
http://developer.yahoo.com/searchmonkey/smguide/
25.10.2009 5
16. Goal: A Unified View on Commerce
Data on the Web
Extraction
Arbitrary Query and Reuse
Manufacturers
Retailers
Payment
Delivery
Product Model Warranty
Master Data Shop Spare Parts &
Offerings Auctions Consumables
16
17. On the Shoulders of Giants
A Unified View of Commerce Data
on the Web
17
Martin Hepp,
mhepp@compu
18. Deep Comparison Shopping
Search Engine Results
Site
Site
Site
3
1
2
Page
Page
Page
6
5
1
Page
Page
7
3
Page
2
Page
Page
8
4
18
Martin Hepp,
mhepp@compu
19. Use Case 1: Product Search
• Find all MP3 players
that have a USB
interface and a color
display, and sort them
by weight (lightest
first).
...on a Web Scale!
19
20. Use Case 2: Product Model Data Reuse
World Wide Web
World Wide Web
Manufacturer Retailer /
Web Shop
Structured
Structured
Data on
Data on
Products
Products and Product Specifications: and
Services
Type of Product, Features etc. Services
20
21. Use Case 3: Fine-grained Affiliate
Marketing
Offers of
computer
add-ons
that have
an USB
interface
Screenshot from http://en.wikipedia.org/wiki/USB
21
22. The Web of Linked Data, Essentially:
1. Cluster Web links by what they mean
2. Use URIs to indicate the type of links
3. Use HTTP URIs so that it is quick and easy to explore
what this URI means.
4. Make clear whether you are referring to something or
its representation.
22
Martin Hepp,
mhepp@compu
23. The Web of Linked Data, Essentially:
1. Cluster Web links by what they mean
2. Use URIs to indicate the type of links
3. Use HTTP URIs so that it is quick and easy to explore
what this URI means.
4. Make clear whether you are referring to something or
its representation.
23
Martin Hepp,
mhepp@compu
24. The Web of Linked Data, Essentially:
1. Cluster Web links by what they mean
2. Use URIs to indicate the type of links
3. Use HTTP URIs so that it is quick and easy to explore
what this URI means.
4. Make clear whether you are referring to something or
its representation.
24
Martin Hepp,
mhepp@compu
25. Technical Effects & Working Assumption
• This will reduce the
computational
complexity of
processing,
combining, reusing
data on a Web scale
25
Martin Hepp,
mhepp@compu
26. Both Sides Can Help Build a Bridge
26
Martin Hepp,
mhepp@compu
27. The Web of Linked Data is NOW and HERE
• RDFa has become a W3C Recommendation
– HTML5+RDFa Specification well underway, too
• Yahoo SearchMonkey and BOSS
• Google adopts RDFa
• GoodRelations ontology
• SPARQL Query language and endpoint interface
• Scalable, commercial repositories
• Linked Data Guidelines: Best Practices for co-
existence of the Web of Data and existing Web content
25.10.2009 27
33. NOW and HERE: BestBuy
• Details on all 1000+ stores in the US using
GoodRelations
– http://stores.bestbuy.com/sitemap.xml
– http://lod.openlinksw.com/sparql
• Full Catalog: >432,000 item descriptions
– http://products.semweb.bestbuy.com/sitemap.xml
– updated on a daily basis
25.10.2009 33