This document discusses the Semantic Web and Linked Data. It provides an overview of key Semantic Web technologies like RDF, URIs, and SPARQL. It also describes several popular Linked Data datasets including DBpedia, Freebase, Geonames, and government open data. Finally, it discusses the Yahoo BOSS search API and WebScope data for building search applications.
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
RDF is a general method to decompose knowledge into small pieces, with some rules about the semantics or meaning of those pieces. The point is to have a method so simple that it can express any fact, and yet so structured that computer applications can do useful things with knowledge expressed in RDF.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
Understanding RDF: the Resource Description Framework in Context (1999)Dan Brickley
Dan Brickley, 3rd European Commission Metadata Workshop, Luxemburg, April 12th 1999
Understanding RDF: the Resource Description Framework in Context
http://ilrt.org/discovery/2001/01/understanding-rdf/
https://doi.org/10.6084/m9.figshare.11854626.v1
Presented at Dutch National Librarian/Information Professianal Association annual conference 2011 - NVB2011
November 17, 2011
This is a lecture note #10 for my class of Graduate School of Yonsei University, Korea.
It describes SPARQL to retrieve and manipulate data stored in Resource Description Framework format
Resource Description Framework (RDF) has entered the metadata scene for libraries in a major way over the last few years. While the promise of its Linked Data capabilities is exciting, the realities of changing data models, encoding practices, and even ontologies can put a check on that excitement. This session will explore these issues and discuss when this is worth doing and how to go about doing it.
A Semantic Data Model for Web ApplicationsArmin Haller
This presentation gives a short overview of the Semantic Web, RDFa and Linked Data. The second part briefly discusses ActiveRaUL, our model and system for developing form-based Web applications using Semantic Web technologies.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
This presentation introduces the main principles of Linked Data, the underlying technologies and background standards. It provides basic knowledge for how data can be published over the Web, how it can be queried, and what are the possible use cases and benefits. As an example, we use the development of a music portal (based on the MusicBrainz dataset), which facilitates access to a wide range of information and multimedia resources relating to music.
Understanding RDF: the Resource Description Framework in Context (1999)Dan Brickley
Dan Brickley, 3rd European Commission Metadata Workshop, Luxemburg, April 12th 1999
Understanding RDF: the Resource Description Framework in Context
http://ilrt.org/discovery/2001/01/understanding-rdf/
https://doi.org/10.6084/m9.figshare.11854626.v1
Presented at Dutch National Librarian/Information Professianal Association annual conference 2011 - NVB2011
November 17, 2011
This is a lecture note #10 for my class of Graduate School of Yonsei University, Korea.
It describes SPARQL to retrieve and manipulate data stored in Resource Description Framework format
Resource Description Framework (RDF) has entered the metadata scene for libraries in a major way over the last few years. While the promise of its Linked Data capabilities is exciting, the realities of changing data models, encoding practices, and even ontologies can put a check on that excitement. This session will explore these issues and discuss when this is worth doing and how to go about doing it.
A Semantic Data Model for Web ApplicationsArmin Haller
This presentation gives a short overview of the Semantic Web, RDFa and Linked Data. The second part briefly discusses ActiveRaUL, our model and system for developing form-based Web applications using Semantic Web technologies.
The slides show what is linked data and how we experiment with linked data in the area of legislative documents (in Czech Republic).
Download the slides for detailed embedded comments.
Linked Open Data Libraries Archives Museums. This presentation is a basic overview of what LOD is and what technologies are needed to ensure the metadata around your collections is machine readable.
Presentation at ELAG 2011, European Library Automation Group Conference, Prague, Czech Republic. 25th May 2011
http://elag2011.techlib.cz/en/815-lifting-the-lid-on-linked-data/
Linking Open, Big Data Using Semantic Web Technologies - An IntroductionRonald Ashri
The Physics Department of the University of Cagliari and the Linkalab Group invited me to talk about the Semantic Web and Linked Data - this is simply an introduction to the technologies involved.
These slides were presented as part of a W3C tutorial at the CSHALS 2010 conference (http://www.iscb.org/cshals2010). The slides are adapted from a longer introduction to the Semantic Web available at http://www.slideshare.net/LeeFeigenbaum/semantic-web-landscape-2009 .
A PDF version of the slides is available at http://thefigtrees.net/lee/sw/cshals/cshals-w3c-semantic-web-tutorial.pdf .
Overview of how data on the Web of Data can be consumed (first and foremost Linked Data) and implications for the development of usage mining approaches.
References:
Elbedweihy, K., Mazumdar, S., Cano, A. E., Wrigley, S. N., & Ciravegna, F. (2011). Identifying Information Needs by Modelling Collective Query Patterns. COLD, 782.
Elbedweihy, K., Wrigley, S. N., & Ciravegna, F. (2012). Improving Semantic Search Using Query Log Analysis. Interacting with Linked Data (ILD 2012), 61.
Raghuveer, A. (2012). Characterizing machine agent behavior through SPARQL query mining. In Proceedings of the International Workshop on Usage Analysis and the Web of Data, Lyon, France.
Arias, M., Fernández, J. D., Martínez-Prieto, M. A., & de la Fuente, P. (2011). An empirical study of real-world SPARQL queries. arXiv preprint arXiv:1103.5043.
Hartig, O., Bizer, C., & Freytag, J. C. (2009). Executing SPARQL queries over the web of linked data (pp. 293-309). Springer Berlin Heidelberg.
Verborgh, R., Hartig, O., De Meester, B., Haesendonck, G., De Vocht, L., Vander Sande, M., ... & Van de Walle, R. (2014). Querying datasets on the web with high availability. In The Semantic Web–ISWC 2014 (pp. 180-196). Springer International Publishing.
Verborgh, R., Vander Sande, M., Colpaert, P., Coppens, S., Mannens, E., & Van de Walle, R. (2014, April). Web-Scale Querying through Linked Data Fragments. In LDOW.
Luczak-Rösch, M., & Bischoff, M. (2011). Statistical analysis of web of data usage. In Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn2011), CEUR WS.
Luczak-Rösch, M. (2014). Usage-dependent maintenance of structured Web data sets (Doctoral dissertation, Freie Universität Berlin, Germany), http://edocs.fu-berlin.de/diss/receive/FUDISS_thesis_000000096138.
Talk at the 2nd Summer Workshop of the Center for Semantic Web Research (January 16, 2016, Santiago, Chile) about the construction of Yahoo's Knowledge Graph and associated research challenges.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 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.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
3. Semantic Web Publish data on the Web Linked Data: linking data similar to how we link documents on the Web Query databases over the Web Architectural challenges A common format for sharing data Sharing the meaning of data Infrastructure Semantic Web standards from W3C Data and schema languages (RDF, OWL, RIF) Document formats (RDF/XML, RDFa) Protocols (SPARQL, HTTP) Semantic Web research into knowledge representation and reasoning, data integration, data quality and many other topics Community effort (Linked Data movement)
4. RDF (Resource Description Framework) The basic data model of the Semantic Web A universal model to capture all sorts of data: networks, relational, object-oriented… Basic unit of information is a triple A tuple of (subject, predicate, object) Example: (Joe, loves, Mary) Each triple gives the value of a property for a given resource or relates two objects to one another Object is either a resource or a literal An RDF model is a set of triples Ordering of statements in an RDF document is irrelevant (unlike XML)
5. Resources vs. literals Resources are identified by a URI or otherwise the are called a blank node URIs are a generalization of URLs Notation: <http://www.example.org/Person> or ex:Person Literals have an optional language and datatype (string, integer etc.) Literals can not be subjects of statements Datatypes are identified by URIs, e.g. XML Schema datatypes Two literals are the same if their components are the same Notation: “Joe B.” or Joe@en^^http://…#string
6. Graphical and textual notation foaf:Person type my:Joe name “Joe A.” A number of ways to serialize an RDF model into an RDF document RDF/XML, Turtle, N3, N-Triples Example: http://www.cs.vu.nl/~pmika/foaf.rdf
7. RDF is designed for the Web URIs provide web-wide global identification across datasets A resource may be described by multiple documents We know it’s the same resource because the same URI is used or through reasoning (advanced topic…) URIs are intented to be reused Unique, but not single identifiers: two URIs may denote the same thing URIs can be retrieved from the Web A well-behaved URI returns a description of the resource Provides authority: the definition of foaf:Person lives at that URI Ontologies can be looked up as well Typically at the root of the URIs, also known as the namespace Example: http://xmlns.com/foaf/0.1/Person redirects to the specification
8. URIs implicitly link data together (#joe, #loves, #mary) (#joe, #name, “Joe A.”) (#joe, #email, mailto:joe@joe.com) A dating site (#mary, name, “Mary B.”) (#mary, gender, “female”) Joe’s homepage Mary’s homepage (#name, #type, #Property) (#name, #domain, #Person) Schema doc
9. Put together, triples form a single ‘global’ graph “Joe A.” #name #joe #email “joe@joe.com” #loves “Mary B.” #name #mary #gender “female”
10. Linked Data Open your data Publish it in RDF, the lingua franca of the data web Data first, schema second Worry about linking, data integration later… someone else can do it for you! Optionally, provide query access using the SPARQL query language and protocol Powerful, SQL-like query language HTTP or SOAP protocol to communicate with SPARQL servers
11. Linked Data cloud: interlinked RDF datasets on the Web http://linkeddata.org/
12. Dbpedia Dbpedia is dataset that contains much of the structured data in Wikipedia Data from the info-boxes Links between Wikipedia pages Categories Disambiguation and redirect pages Links to other datasets
13. Fetching individual resources Use your web browser http://dbpedia.org/resource/Yahoo redirects to http://dbpedia.org/page/Yahoo You can plug in this URI into other Linked Data browsers HTTP GET to fetch data Using curl: add Accept: application/rdf+xmlfor RDF and enable redirect curl -L -H 'Accept:application/rdf+xml' 'http://dbpedia.org/resource/Berlin’ Data dumps http://wiki.dbpedia.org/Datasets
14. Querying using SPARQL Interactive query builders SPARQL Explorer: http://dbpedia.org/snorql/ Examples at: http://wiki.dbpedia.org/OnlineAccess Using HTTP GET GET /sparql/?query=EncodedQuery HTTP/1.1 Example: SELECT ?film ?x WHERE { ?film <http://dbpedia.org/ontology/language> <http://dbpedia.org/resource/French_language> . ?film <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://dbpedia.org/ontology/Film>} curl 'http://dbpedia.org/sparql?query=encodedQuery’
15. More data New York Times http://data.nytimes.com/ Example URI: http://data.nytimes.com/60694995023816375851 Also supports JSON Append .json or set Accept:text/javascript Freebase http://freebase.com Example URI http://rdf.freebase.com/rdf/en.tron_legacy Data dump http://download.freebase.com
16. And more data… Geonames: open geo data Geonames.org http://sws.geonames.org/5130561/ Download: http://www.geonames.org/export/ Open Government data efforts Data.gov See apps e.g. http://flyontime.us Data.gov.uk http://data.gov.uk/sparql
17. Spanish open gov’t data and linked data efforts Spanish open data efforts La AsociaciónEspañola de Linked Data (AELID) http://aelid.es/ ProyectoAporta aporta.es Regional/local efforts risp.asturias.es (RDF, SPARQL) datos.zaragoza.es (RDF, SPARQL) opendata.euskadi.net (RDF) dadesobertes.gencat.cat (RDF) Competition AbreDatos 2010 abredatos.es
18. More info Segaran et al.: Programming the Semantic Web, O’Reilly, 2010. linkeddata.org W3C Semantic Web Activity Presentations, guides etc. RDF Primer http://www.w3.org/TR/2004/REC-rdf-primer-20040210/ SPARQL query language and protocol specs http://www.w3.org/TR/rdf-sparql-protocol/ http://www.w3.org/TR/rdf-sparql-query/ Search SlideShare etc. for more intro material
19. Build your Own Search Service (BOSS) Peter Mika Yahoo! Research Barcelona pmika@yahoo-inc.com
20. Innovate with Search! It’s really simple… Example: pay $0.0008 for a query, earn $0.01 per query 100,000 users a day, each making 1 query a day Earn $920 dollars a day!
21. Reminds me of the underpants gnomes from the Simpsons http://en.wikipedia.org/wiki/Underpants_Gnomes
22. Yahoo BOSS: Yahoo’s Search API Ability to re-order results and blend-in addition content No restrictions on presentation No branding or attribution Access to multiple verticals (web search, image, news) Spelling suggestions 40+ supported language and region pairs Pricing (BOSS) 10,000 free queries a day Pay for more queries Serve any ads you want For more info, http://developer.yahoo.com/search/boss/ New in BOSS v2 Powered by Bing Retrieve ads from Yahoo! and earn money ;)
23. Using BOSS Simple HTTP GET calls, no authentication Get an Application ID at http://developer.yahoo.com/search/boss/ Example: http://boss.yahooapis.com/ysearch/web/v1/{query}?appid={appid}&format=xml http://boss.yahooapis.com/ysearch/spelling/v1/{query}?appid={appid}&format=xml Documentation http://developer.yahoo.com/search/boss/boss_guide/
24. Queries you can play with Yahoo!’s WebScope program Data sharing with universities and research institutions Some of the most exciting data that we have! Request access online http://webscope.sandbox.yahoo.com/ Requires approval by Department Chair For HackU, you can sign up here for access to a dataset containing real world user queries Yahoo! Search Tiny Sample v1.0: a set of 4,500 queries Ideal for testing and demonstrating your search-based apps Can you really show something interesting for all these users?