This document summarizes SPARQL, the SPARQL query language used for querying and retrieving data stored in RDF format. It discusses key concepts such as RDF, terms, syntax, patterns, and constraints. RDF represents information as subject-predicate-object triples that can be queried using SPARQL. SPARQL allows constructing basic and complex graph patterns to match against the RDF graph. It also supports value filters, ordering, pagination and other solution modifiers. The document provides examples of SPARQL queries to retrieve data from RDF graphs based on different conditions and constraints.
"RDFa - what, why and how?" by Mike Hewett and Shamod LacoulShamod Lacoul
The document discusses RDFa (Resource Description Framework in Attributes), which allows adding semantic metadata to web pages. It provides an overview of RDFa and examples of using RDFa to annotate events, people, and other entities on web pages in order to make the information machine-readable. The examples demonstrate how RDFa can be used to embed semantics in HTML and reuse attributes, allowing the HTML and RDF data to coexist in the same document.
This document provides an overview of describing web resources using the Resource Description Framework (RDF). It discusses the basic concepts of RDF including resources, properties, statements, and the XML syntax used to represent them. It also covers RDF Schema which adds vocabulary for describing properties and classes of RDF resources, and provides a critical view of some aspects of RDF such as its use of binary predicates and treatment of properties.
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.
Bernhard Haslhofer is a postdoc researcher at Cornell University studying linked data, user-contributed data, and data interoperability. He discusses Linked (Open) Data, which uses URIs and RDF to publish and link structured data on the web. The key principles are using URIs to identify things, providing useful information about those URIs when dereferenced, and including links to other URIs. Enabling technologies include URIs, RDF, RDFS/OWL for vocabularies, SPARQL for querying, and best practices for publishing vocabularies and data. Useful tools are also presented.
RDFa: introduction, comparison with microdata and microformats and how to use itJose Luis Lopez Pino
Report for the course 'XML and Web Technologies' of the IT4BI Erasmus Mundus Master's Programme. Introduction, motivation, target domain, schema, attributes, comparing RDFa with RDF, comparing RDFa with Microformats, comparing RDFa with Microdata, how to use RDFa to improve websites, how to extract metadata defined with RDFa, GRDDL and a simple exercise.
The document discusses representing data in the Resource Description Framework (RDF). It describes how relational data can be represented as RDF triples with rows becoming subjects, columns becoming properties, and values becoming objects. It also discusses using URIs instead of internal IDs and names to allow data integration. The document then covers serializing RDF data in different formats like RDF/XML, N-Triples, N3, and Turtle and describes syntax for representing literals, language tags, and abbreviating subject and predicate pairs.
Two graph data models : RDF and Property Graphsandyseaborne
This document provides an overview of two graph data models: RDF and Property Graphs. It describes the key components of each model, including triples for RDF and nodes/edges/properties for Property Graphs. It also discusses Apache projects that work with each model like Apache Jena for RDF and Apache TinkerPop, Spark, Giraph and Flink for Property Graphs. Finally, it notes that while the models have different focuses, they could potentially share technologies like storage and query capabilities.
The document discusses the RDF data model. The key points are:
1. RDF represents data as a graph of triples consisting of a subject, predicate, and object. Triples can be combined to form an RDF graph.
2. The RDF data model has three types of nodes - URIs to identify resources, blank nodes to represent anonymous resources, and literals for values like text strings.
3. RDF graphs can be merged to integrate data from multiple sources in an automatic way due to RDF's compositional nature.
Tutorial on RDFa, to be held at ISWC2010 in Shanghai, China. (I was supposed to hold the tutorial but last minute issues made it impossible for me to travel there...)
This document provides an agenda and overview of semantic web and linked open data. It discusses the limitations of the current internet and the goals of the semantic web, which aims to make web content machine-readable through annotation and ontologies. It introduces key semantic web technologies like RDF, RDF schema, and OWL, and explains how they allow data to be interlinked and queried. Open linked data seeks to further evolve the web by linking data on the web through common vocabularies and enabling new types of browsers and search engines to utilize this semantic information.
An introduction to Semantic Web and Linked DataFabien Gandon
Here are the steps to answer this SPARQL query against the given RDF base:
1. The query asks for all ?name values where there is a triple with predicate "name" and another triple with the same subject and predicate "email".
2. In the base, _:b is the only resource that has both a "name" and "email" triple.
3. _:b has the name "Thomas".
Therefore, the only result of the query is ?name = "Thomas".
So the result of the SPARQL query is:
?name
"Thomas"
This document provides an overview of the Resource Description Framework (RDF). It begins with background information on RDF including URIs, URLs, IRIs and QNames. It then describes the RDF data model, noting that RDF is a schema-less data model featuring unambiguous identifiers and named relations between pairs of resources. It also explains that RDF graphs are sets of triples consisting of a subject, predicate and object. The document also covers RDF syntax using Turtle and literals, as well as modeling with RDF. It concludes with a brief overview of common RDF tools including Jena.
The document discusses ontologies and the RDF-S/OWL languages for defining ontologies. It defines ontologies as formal, explicit specifications of shared conceptualizations and describes some key parts of ontologies including concepts, relations, instances, and axioms. It provides an example ontology about artists and the works they create. RDF-S semantics are discussed for defining subclasses, subproperties, domains, and ranges within an ontology.
The forth lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
The document discusses the Semantic Web, providing an overview of identification languages, integration, storage and querying, browsing and viewing technologies. It describes languages like RDF, RDF Schema and OWL, and how they add machine-understandable semantics and shared ontologies to the web. It also discusses tools for querying, visualizing and presenting Semantic Web data like SPARQL, RDF browsers, Fresnel lenses, and Yahoo Pipes for aggregating and filtering RDF feeds.
This document discusses the need for named graphs in RDF to represent contextual information like provenance and source of RDF data. It proposes extensions to the RDF/XML syntax to associate RDF descriptions and statements with named graphs. This allows modeling things like different hypotheses, temporal aspects, points of view, and distributed storage in a way that is currently not possible without named graphs in the RDF model.
The document discusses the Semantic Web and Resource Description Framework (RDF). It defines the Semantic Web as making web data machine-understandable by describing web resources with metadata. RDF uses triples to describe resources, properties, and relationships. RDF data can be visualized as a graph and serialized in formats like RDF/XML. RDF Schema (RDFS) provides a basic vocabulary for defining classes, properties, and hierarchies to enable reasoning about RDF data.
This document provides an overview of SPARQL 1.0, the W3C recommendation for querying RDF data. It describes the main components of SPARQL queries including graph patterns used to match subgraphs, basic graph patterns using triple patterns, and optional, union, and constraint graph patterns. It provides examples of SPARQL queries and describes how variables, blank nodes, and filter expressions are used in constraints on query solutions.
Conozca todos los detalles sobre el ERP de SAP adaptado a las pequeñas y medianas empresas: Rapidez de implantación, reducción de costes, y todo un mundo de ventajas.
Great presentation that describes the failure of most email marketers to deliver a good rendering, usability and metrics for mobile users. And, why it is a critical concern today!
Honor Code of the Prepa Tec Group 61, Mundialista. Richard Huett
The document contains commitments and values from Group 61 at Prepa Tec Campus Guadalajara. It includes commitments to form social media groups to remind each other of assignments, discuss problems with classmates respectfully, consider everyone's ideas, have a positive team attitude, and talk to anyone alone. Students then provide images and explanations matching the values of solidarity, respect, responsibility, freedom and more. They describe people and events demonstrating these values through teamwork, helping others, overcoming obstacles, and bringing people together.
This paper introduces a new, event-based API to create topic maps. It is independent of particular Topic Maps processors and enables developers to convert any resource into a Topic Maps representation with minimal e?ort. The API is somewhat aligned to the "push-model" of the familiar Simple API for XML (SAX) and is therefore easy to learn. It has been implemented for different programming languages and supplements APIs like the object-orientated Topic Maps API (TMAPI).
The document discusses how SDL Media Manager can help companies convert video views into sales leads. It provides a 6-step process for media asset management and distribution, including localizing, distributing, socializing, enriching and optimizing content. SDL Media Manager allows companies to add interactive elements and data collection to videos to better engage audiences and track conversions. Case studies of Mitsubishi and KLM are presented that show how they used the platform to generate more leads and improve marketing results.
O documento discute os benefícios do modelo SaaS para fornecer software, incluindo custos reduzidos, disponibilidade contínua e atualizações automáticas. Ele descreve a oferta SaaS da PRIMAVERA, que fornece seus principais módulos ERP hospedados em data centers com SLA de disponibilidade superior a 99,5% e suporte 24/7. A mudança para SaaS representa uma mudança de paradigma com menor investimento inicial e custo total de propriedade para clientes.
This document is a parts catalog for Rogator liquid systems from Ag-Chem listing parts for the tank and saddle group, product pump and pressure plumbing group, boom group, and boom plumbing group. It includes assemblies, components, and optional parts for tanks, pumps, manifolds, booms, pipes, nozzles, and other components of the liquid system. Section 1 covers tanks, saddles, and sight gauges. Section 2 covers pumps, pressure plumbing, flowmeters, and manifolds. Section 3 covers booms, boom trees, actuators, and nozzles. Section 4 covers pipes and fittings for boom plumbing.
Anemo 2015-27-Astuto- Preparazione preoperatoria di un bambino anemicoanemo_site
This document discusses preoperative preparation and management of anemic children undergoing surgery. It covers normal hemoglobin levels, causes of anemia including hemoglobinopathies, estimating maximum blood loss, guidelines for transfusing blood products like platelets and fresh frozen plasma, using antifibrinolytics to reduce bleeding, and monitoring coagulation disorders with tests like ROTEM to help manage perioperative bleeding in children.
The Kindergarten was founded in 1969 in Targoviste, Romania, located in the famous Transylvania region. It currently shelters almost 500 children aged 3-6 and 50 aged 1-3.
Kindergarten Jelka is located in Ljubljana, Slovenia. It operates in five units and arranges children into homogeneous and heterogeneous groups. It interacts children with special needs.
Kindergarten Mukulax is located in Turku, Finland and operates across three units in different parts of the city. It offers daycare and preschool for children aged 1-7 in both Finnish and English.
The document discusses speed and agility in development. It introduces the author Xu Yi and provides contact information. It then discusses topics like modeling, test-driven development, coding practices, and skills needed for agile development like learning, practice and continuous improvement.
1) The document provides 5 ideas for baby shower gifts including a stringed instrument to help develop the baby's musical culture, a stylish diaper bag, sound books to introduce babies to different sounds, a soft baby wrap for outings, and a baby food mixer/cooker.
2) The gifts range in price from €10-15 for sound books to €100 for the baby food mixer. All products are available for purchase online from the websites listed.
3) The document is written in French and also includes an unrelated paragraph at the end about someone in Lille who references a website for tips on group fundraising, online raffles, and online gift collections.
2011 4IZ440 Semantic Web – RDF, SPARQL, and software APIsJosef Petrák
The document discusses the Semantic Web and RDF data formats. It provides an overview of RDF syntaxes like RDF/XML, N3, N-Triples, RDF/JSON, and RDFa. It also discusses software APIs for working with RDF data in languages like Java, PHP, and Ruby. The document outlines handling RDF data using statement-centric, resource-centric, and ontology-centric models, as well as named graphs. It provides examples of reading RDF data from files and querying RDF data using SPARQL.
SPARQL 1.1 introduced several new features including:
- Updated versions of the SPARQL Query and Protocol specifications
- A SPARQL Update language for modifying RDF graphs
- A protocol for managing RDF graphs over HTTP
- Service descriptions for describing SPARQL endpoints
- Basic federated query capabilities
- Other minor features and extensions
This document provides an overview of SPARQL, the SPARQL Query Language. It begins by explaining that SPARQL is an RDF query language designed to query graphs of RDF data. It then describes some key aspects of SPARQL including that it is based on matching graph patterns against RDF graphs, supports basic graph patterns through triple patterns, and allows for implicit and explicit joins. The document provides examples of SPARQL queries and discusses features like select-from-where structure, blank nodes, and group patterns.
A Hands On Overview Of The Semantic WebShamod Lacoul
The document provides an overview of the Semantic Web and introduces key concepts such as RDF, RDFS, SPARQL, OWL, and Linked Open Data. It begins with defining what the Semantic Web is, why it is useful, and how it differs from the traditional web by linking data rather than documents. It then covers RDF for representing data, RDFS for defining schemas, and SPARQL for querying RDF data. The document also discusses OWL for building ontologies and Linked Open Data initiatives that have published billions of RDF triples on the web.
SPARQL is a query language for retrieving and manipulating data stored in RDF format. It is a W3C recommendation similar to SQL for relational databases. SPARQL queries contain SELECT, FROM and WHERE clauses to identify result variables, specify the RDF dataset, and provide a basic graph pattern to match against the data. SPARQL can be used to query RDF knowledge bases and retrieve variable bindings or boolean results. Query results are returned in XML format according to the SPARQL Query Results specification.
SPARQL is a standard query language for retrieving and manipulating data stored in RDF format. It consists of three parts: a query language, a result format, and an access protocol. The query language uses graph patterns to match against RDF graphs. It supports keywords like SELECT, FROM, and WHERE to identify values to return, data sources, and triple patterns to match. SPARQL can be run over HTTP or SOAP and returns XML results. It provides a unified method for querying RDF data distributed across the web.
2016.02 - Validating RDF Data Quality using Constraints to Direct the Develop...Dr.-Ing. Thomas Hartmann
For research institutes, data libraries, and data
archives, RDF data validation according to predefined constraints
is a much sought-after feature, particularly as this is taken
for granted in the XML world. Based on our work in the
DCMI RDF Application Profiles Task Group and in cooperation
with the W3C Data Shapes Working Group, we identified and
published by today 81 types of constraints that are required
by various stakeholders for data applications. In this paper,
in collaboration with several domain experts we formulate 115
constraints on three different vocabularies (DDI-RDF, QB, and
SKOS) and classify them according to (1) the severity of an
occurring violation and (2) the complexity of the constraint
expression in common constraint languages. We evaluate the
data quality of 15,694 data sets (4.26 billion triples) of research
data for the social, behavioral, and economic sciences obtained
from 33 SPARQL endpoints. Based on the results, we formulate
several findings to direct the further development of constraint
languages.
This document summarizes an Ivan Herman presentation on RDFa at the 2011 Semantic Technologies Conference. The presentation introduces RDFa as a way to serialize RDF embedded in HTML/XML pages. It discusses how RDFa allows adding structured data to web pages while keeping them usable by browsers. RDFa reuses existing HTML attributes and defines a mapping to extract RDF triples from pages for processing by specialized applications.
SPARQL introduction and training (130+ slides with exercices)Thomas Francart
Full SPARQL training
Covers all SPARQL : basic graph patterns, FILTERs, functions, property paths, optional, negation, assignation, aggregation, subqueries, federated queries.
Does not cover except SPARQL updates.
Includes exercices on DBPedia.
CC BY license
This document discusses using XSPARQL for data integration and transformation between different data formats like RDB, XML, and RDF. It describes how XSPARQL extends the syntax of XQuery to allow querying and transforming data between these formats using a single language. Examples are provided of using XSPARQL to extract data from an XML file and generate RDF, and to integrate data from an XML file with data from a BridgeDB link database.
This document provides an overview of semantic web technologies including the Resource Description Framework (RDF), which is a standard model for data interchange on the web. It describes RDF concepts like triples, graphs, and syntaxes like RDF/XML and Turtle. It also covers ontologies, SPARQL for querying RDF data, linked data, and tools for working with RDF and semantic web technologies.
A hands on overview of the semantic webMarakana Inc.
This document provides an overview of the Semantic Web. It defines the Semantic Web as linking data to data using technologies like RDF, RDFS, OWL and SPARQL. It explains that RDF represents information as subject-predicate-object statements that can be queried using SPARQL. RDFS allows defining schemas and classes for RDF data, while OWL adds more expressiveness for defining complex ontologies. The document outlines popular Semantic Web tools, public ontologies, and companies working in this domain. It positions the Semantic Web as a way to represent and share data universally on the web.
The document discusses linked data and how it can be used to share information on the web in a structured format. It provides an overview of linked data and the Resource Description Framework (RDF), describes how URIs can be used to name things and link data on the web, and gives examples of publishing and querying linked data using RDF and SPARQL. Recent developments in using linked data by Facebook, Google, and other companies are also mentioned.
The Semantic Web #9 - Web Ontology Language (OWL)Myungjin Lee
This is a lecture note #9 for my class of Graduate School of Yonsei University, Korea.
It describes Web Ontology Language (OWL) for authoring ontologies.
SPARQL is a standard query language for RDF that has undergone two iterations (1.0 and 1.1) through the W3C process. SPARQL 1.1 includes updates to RDF stores, subqueries, aggregation, property paths, negation, and remote querying. It also defines separate specifications for querying, updating, protocols, graph store protocols, and federated querying. Apache Jena provides implementations of SPARQL 1.1 and tools like Fuseki for deploying SPARQL servers.
This document provides an introduction to XSPARQL, a language for transforming between RDF and XML. It discusses how transformations between RDF and XML can be challenging due to different syntaxes and serializations used to represent the same RDF graph. It notes that while SPARQL is good for querying RDF, it does not provide a way to produce arbitrary XML output. The document then introduces XSPARQL as a transformation language that combines XML, RDF, XQuery and SPARQL to allow lifting and lowering between XML and RDF formats in a single language.
SPARQL is a standardized query language for retrieving and manipulating data stored in RDF format. It was created by the RDF Data Access Working Group to provide querying of RDF stores. SPARQL supports four query forms: SELECT, CONSTRUCT, DESCRIBE, and ASK. It also defines a protocol for executing queries over HTTP. SPARQL has become a key technology for working with semantic data on the web.
This document summarizes an agenda and presentation about using semantic web technologies for life sciences applications. The presentation discusses:
1) What the semantic web is and how it adds tags to web pages to make data more discoverable and allow new associations between information.
2) The Resource Description Framework (RDF) data model and how it represents information as subject-predicate-object triples with URIs. Ontologies are used to label elements.
3) How semantic web technologies can enable more integrated access to heterogeneous life sciences data and allow modeling of biological systems and processes.
4) Examples of how semantic web approaches could help address challenges in areas like drug development and the FDA's critical path initiative.
This document provides an overview of SPARQL, the query language for the Semantic Web. SPARQL allows querying RDF data by matching triple patterns and combining them with operations like optional and union patterns. Key features discussed include the anatomy of SPARQL queries, matching RDF literals and numerical values, filtering solutions, and defining datasets with the FROM clause. The document also covers SPARQL result forms and resources for learning more about SPARQL implementations and extensions.
The document discusses the benefits of exercise for both physical and mental health. It notes that regular exercise can reduce the risk of diseases like heart disease and diabetes, improve mood, and reduce stress and anxiety levels. Exercise is also said to boost brain health and function by improving cognitive abilities and reducing the risk of conditions like Alzheimer's disease and dementia.
The document discusses social networking and social media. It covers five eras of the social web, the rising share of online commerce, examples of social commerce platforms like Facebook shopping, and the outlook for mobile commerce. It also discusses social media marketing best practices for companies like Starbucks, SAP, and Dell. The document provides tips for effective social media marketing on Twitter and ways that social media is changing business models from selling to connecting.
This document summarizes research on social media and Twitter. It analyzes data from over 41 million Twitter user profiles and 1.47 billion social connections to study the topological characteristics of Twitter's social network and how information spreads through retweets. Some key findings include:
- Twitter's follower network shows non-power law distribution, short effective diameter, and low reciprocity compared to other social networks.
- Ranking users by number of followers, PageRank, and number of retweets produces different results, indicating a gap between influence inferred from followers and influence from retweet popularity.
- Retweets allow information to reach an average of 1,000 users no matter the original tweet's number of followers, and retweets
Social networking and social media have become increasingly important. The document discusses key aspects of social networking including definitions of social networking sites, examples of popular sites like Facebook and Twitter, and statistics on their growth and usage. It also covers emerging topics like location-based social apps and the importance of social plugins for websites.
FBML is Facebook Markup Language that allows developers to build applications on Facebook using tags similar to HTML tags. It provides tags to integrate common Facebook elements like sending messages, posting to walls, and displaying profile pictures. Developers can test and run their FBML code directly on Facebook's developer site before implementing it within their applications. While FBML operates like HTML, developers should consult the FBML documentation to determine the appropriate tags to use for their specific needs and features.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
AC Atlassian Coimbatore Session Slides( 22/06/2024)apoorva2579
This is the combined Sessions of ACE Atlassian Coimbatore event happened on 22nd June 2024
The session order is as follows:
1.AI and future of help desk by Rajesh Shanmugam
2. Harnessing the power of GenAI for your business by Siddharth
3. Fallacies of GenAI by Raju Kandaswamy
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
Interaction Latency: Square's User-Centric Mobile Performance MetricScyllaDB
Mobile performance metrics often take inspiration from the backend world and measure resource usage (CPU usage, memory usage, etc) and workload durations (how long a piece of code takes to run).
However, mobile apps are used by humans and the app performance directly impacts their experience, so we should primarily track user-centric mobile performance metrics. Following the lead of tech giants, the mobile industry at large is now adopting the tracking of app launch time and smoothness (jank during motion).
At Square, our customers spend most of their time in the app long after it's launched, and they don't scroll much, so app launch time and smoothness aren't critical metrics. What should we track instead?
This talk will introduce you to Interaction Latency, a user-centric mobile performance metric inspired from the Web Vital metric Interaction to Next Paint"" (web.dev/inp). We'll go over why apps need to track this, how to properly implement its tracking (it's tricky!), how to aggregate this metric and what thresholds you should target.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
What's Next Web Development Trends to Watch.pdfSeasiaInfotech2
Explore the latest advancements and upcoming innovations in web development with our guide to the trends shaping the future of digital experiences. Read our article today for more information.
Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both. This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry. In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of international multimedia systems research.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Blockchain and Cyber Defense Strategies in new genre timesanupriti
Explore robust defense strategies at the intersection of blockchain technology and cybersecurity. This presentation delves into proactive measures and innovative approaches to safeguarding blockchain networks against evolving cyber threats. Discover how secure blockchain implementations can enhance resilience, protect data integrity, and ensure trust in digital transactions. Gain insights into cutting-edge security protocols and best practices essential for mitigating risks in the blockchain ecosystem.
Data Protection in a Connected World: Sovereignty and Cyber Securityanupriti
Delve into the critical intersection of data sovereignty and cyber security in this presentation. Explore unconventional cyber threat vectors and strategies to safeguard data integrity and sovereignty in an increasingly interconnected world. Gain insights into emerging threats and proactive defense measures essential for modern digital ecosystems.
1. Web 3.0
SPARQL / XML Query
Presenter Um Dae jin (mrumx@naver.com)
Internet Technology
Graduate school of information & Telecommunications in KONKUK University
5. RDF(Resource Description Framework)
Resource Description Framework
어떤것을 기술하기 위한 구조(틀)일 뿐!!!
Resource : URI를 갖는 모든것(웹페이지,이미지,동영상 등)
Description : Resource들의 속성, 특성, 관계 기술
Framework : 위의 것들을 기술하기 위한 모델, 언어, 문법
6. RDF(Resource Description Framework)
Subject Predicate Object
주어 술어 목적어
(Resource) (Property, Relation) (Resource, Literal)
URI URI URI
Blank Node Literal
This is the Framework!!!
8. PingtheSemanticWeb.com is a repository for RDF documents. http://pingthesemanticweb.com/
RDF(Resource Description Framework)
These namespaces are used to describe entities in X number of documents
2009.11.23
2008.7.16 2008.11.04 2009.1.8
9. Picture
Music
Person
Dictionary
Region
SPARQL
GRDDL(Gleaning Resource Descriptions from Dialects of Languages)
24. Play #
umdaejin의 영문이름을 가진 사람의 email은?
:email
_person mrumx@naver.com
:name
SELECT ?email
umdaejin@en
WHERE {
?person :name “umdaejin”@en.
?person :email ?email.
}
25. Syntax - RDF Term Syntax
IRI
<http://example.org/book/book1>
BASE <http://example.org/book/>
<book1>
PREFIX book: <http://example.org/book/>
book:book1
26. Syntax -Triple Pattern Syntax
PREFIX, BASE
PREFIX dc: <http://purl.org/dc/elements/purl.org/>
SELECT ?title
WHERE { <http://example.org/book/book> dc:title ?title }
PREFIX dc: <http://purl.org/dc/elements/1.1/>
PREFIX : <http://example.org/book/>
SELECT $title
WHERE { :book1 dc:title $title }
BASE <http://example.org/book/>
PREFIX dc: <http://purl.org/dc/elements/1.1/>
SELECT $title
WHERE { <book1> dc:title $title }
27. Play #
daejin의 영문이름을 가진 사람의 책제목은?
:like
_person Book:book_3
:name book:name
“daejin@en” “ANT”
BASE <http://RDFTutorial.net/2009/>
PREFIX book:http://example.org/book/>
SELECT ?book_name
WHERE {
?person :like book:book_3.
book:book_3 book:name ?book_name.
}
28. Syntax - RDF Term Syntax
Query Var
?var or $var
Blank
[ :p “v”]. == [] :p “v”.
Unique Blank - 다른 IRI과 연결용
_b57 :p “v”. //기본 예
[ foaf:name ?name ;
foaf:mbox <mailto:ss@c.com>] / / 확장 예
_b11 foaf:name ?name ;은 S에 PO를 연속해서 붙일 수 있다.
_b11 foaf:mbox <mailto:ss@c.com>
29. Play #
foaf:name이 umdaejin사람이 사랑하는 사람 name?
:love
_a _b
foaf:name name
“umdaejin” “sunyoung”
PREFIX foaf: <http://xmlns.com/foaf/0.1/>.
PREFIX : <http://RDFTutorial.net/2009/>.
SELECT $name
WHERE {
?_a foaf:name “umdaejin”.
?_a :love $_b.
$_b <http://RDFTutorial.net/2009/name> $name.
}
37. Solution Sequences and Modifiers
Order
SELECT ?people, ?name
WHERE {
?people :name ?name
}
ORDER BY ?name //기본 오름차순 A-Z, DESC(?name)
SELECT ?s ?p ?o
WHERE {
?s ?p ?o
} //모든 SPO반환
ORDER BY ?o
38. Play #
나이순으로 정렬?
_a _b _c _d
:age :age :age :age
21 33 26 45
PREFIX : <http://RDFTutorial.net/2009/>.
SELECT ?user
WHERE {
?user :age ?age.
}
ORDER BY ?age.
39. Solution Sequences and Modifiers
Offset
SELECT ?s ?p ?o
WHERE {
?s ?p ?o.
}
OFFSET 10 //11번째 부터 solutions 반환
LIMIT
SELECT ?s ?p ?o SELECT ?s ?p ?o
WHERE { WHERE {
?s ?p ?o.
?s ?p ?o.
}
} LIMIT 5
LIMIT 10 //10개 solutions 반환 OFFSET 10 //함께 사용 가능
40. Play #
나이순으로 정렬후, 결과 2개?
_a _b _c _d
:age :age :age :age
21 33 26 45
PREFIX : <http://RDFTutorial.net/2009/>.
SELECT ?user
WHERE {
?user :age ?age.
}
ORDER BY ?age.
LIMIT 2 .