Wolfram Alpha is a computational knowledge engine developed by Wolfram Research that answers queries directly by computing answers from curated external data, rather than providing documents like a search engine. It contains hundreds of datasets and can respond to natural language questions, perform mathematical calculations, and power some searches on Bing, DuckDuckGo, Siri, and other digital assistants. Examples of uses include generating passwords, getting name statistics, word definitions, and fundamental questions. It is considered aspects of Web 3.0, 4.0 and aims for 5.0 through its capabilities.
The document discusses the Semantic Web as Web 3.0. It explains that while current web pages use HTML to describe structure, not meaning, the Semantic Web aims to allow computers to understand the meaning behind information by recognizing things like people, places, events. This is done through techniques like embedding semantic annotations directly into data using standards like RDFa, microformats, and querying data with SPARQL. The Semantic Web will enable new applications by making the web more machine-readable.
The document introduces the semantic web, which extends the current web by giving information well-defined meaning so that computers and people can better cooperate. It defines the semantic web and discusses its key components, including URIs, ontologies, linked open data, RDF, OWL, SPARQL, and open world reasoning. Examples of semantic web use cases include data.gov, DBPedia, Google Recipes, and Facebook's implementation using RDFa.
The document discusses the Semantic Web and metadata standards. It describes the Semantic Web as a web of data that can be processed by machines. It explains how the Semantic Web is being developed both top-down through more intelligent applications and bottom-up through increased use of structured data formats and standards like URIs, RDF, and OWL. It provides examples of applications using these standards and discusses metadata standards like RDA, DCMI, and their relationship.
Social Semantic Web on Facebook Open Graph protocol and Twitter AnnotationsMyungjin Lee
This Presentation show what the Social Semantic Web is and how Facebook Open Graph protocol and Twitter Annotations colligate with the Social Semantic Web.
The document discusses the history and evolution of the World Wide Web from Web 1.0 to present. It suggests that Web 3.0, also called the Semantic Web, will connect online and offline data through technologies like semantic web, cloud computing, and microformats to allow machines to better understand web pages. Key aspects of Web 3.0 may include fewer dedicated email services, connecting currently separated social networks and data silos, and giving users more control over their online experiences and data through browser-based applications.
Wolfram Alpha is a computational knowledge engine developed by Wolfram Research that answers queries directly by computing answers from curated external data, rather than providing documents like a search engine. It contains hundreds of datasets and can respond to natural language questions, perform mathematical calculations, and power some searches on Bing, DuckDuckGo, Siri, and other digital assistants. Examples of uses include generating passwords, getting name statistics, word definitions, and fundamental questions. It is considered aspects of Web 3.0, 4.0 and aims for 5.0 through its capabilities.
The document discusses the Semantic Web as Web 3.0. It explains that while current web pages use HTML to describe structure, not meaning, the Semantic Web aims to allow computers to understand the meaning behind information by recognizing things like people, places, events. This is done through techniques like embedding semantic annotations directly into data using standards like RDFa, microformats, and querying data with SPARQL. The Semantic Web will enable new applications by making the web more machine-readable.
The document introduces the semantic web, which extends the current web by giving information well-defined meaning so that computers and people can better cooperate. It defines the semantic web and discusses its key components, including URIs, ontologies, linked open data, RDF, OWL, SPARQL, and open world reasoning. Examples of semantic web use cases include data.gov, DBPedia, Google Recipes, and Facebook's implementation using RDFa.
The document discusses the Semantic Web and metadata standards. It describes the Semantic Web as a web of data that can be processed by machines. It explains how the Semantic Web is being developed both top-down through more intelligent applications and bottom-up through increased use of structured data formats and standards like URIs, RDF, and OWL. It provides examples of applications using these standards and discusses metadata standards like RDA, DCMI, and their relationship.
Social Semantic Web on Facebook Open Graph protocol and Twitter AnnotationsMyungjin Lee
This Presentation show what the Social Semantic Web is and how Facebook Open Graph protocol and Twitter Annotations colligate with the Social Semantic Web.
The document discusses the history and evolution of the World Wide Web from Web 1.0 to present. It suggests that Web 3.0, also called the Semantic Web, will connect online and offline data through technologies like semantic web, cloud computing, and microformats to allow machines to better understand web pages. Key aspects of Web 3.0 may include fewer dedicated email services, connecting currently separated social networks and data silos, and giving users more control over their online experiences and data through browser-based applications.
The document discusses the agenda for a presentation on the Semantic Web. The agenda includes an overview of the World Wide Web, an introduction to the Semantic Web, tools and applications for the Semantic Web, Linking Open Data, the Social Semantic Web, and Open Government. Each section provides details on the topic covered.
The document discusses the evolution of the World Wide Web from Web 1.0 to the current Web 2.0 to the future Web 3.0 or Semantic Web. Web 1.0 consisted of static pages and limited user interaction. Web 2.0 enabled user-generated content and more dynamic functionality through sites like Facebook. The Semantic Web, as envisioned by Tim Berners-Lee, aims to make web content machine-readable through technologies like URIs, XML, and ontologies to allow for more intelligent searching and connections between information. The document provides examples to illustrate the differences between each stage of the web's evolution.
The document provides an introduction to the semantic web, explaining that it aims to allow computers to interpret data on the internet by modeling information and relationships between data using metadata and implicit deductions, which will enable machines to better understand context, answer questions, and accomplish tasks without human involvement. It discusses how explicit metadata standards like RDF and implicit deductions are used to build semantic models and provides examples of how semantic searching and aggregation of content can be more useful than traditional methods.
- The document is a slide presentation on semantic analysis in language technology that discusses the semantic web and ontologies. It provides examples of question answering systems like START, Siri, and IBM Watson and discusses the evolution of the web from Web 1.0 to Web 2.0 to the proposed Web 3.0. It also introduces key concepts like ontologies, semantic metadata, and the role of semantics in allowing machines to process information.
This document provides an introduction to the Semantic Web, covering topics such as what the Semantic Web is, how semantic data is represented and stored, querying semantic data using SPARQL, and who is implementing Semantic Web technologies. The presentation includes definitions of key concepts, examples to illustrate technical aspects, and discussions of how the Semantic Web compares to other technologies. Major companies implementing aspects of the Semantic Web are highlighted.
An Introduction to Semantic Web TechnologyAnkur Biswas
The document provides an overview of the semantic web and some of its key challenges. It discusses:
1) The evolution of the world wide web from a web of documents to a web of linked data through technologies like RDF, OWL, and SPARQL that add semantic meaning.
2) The vision for the semantic web is to publish machine-readable data using common formats so that information can be automatically processed by agents and integrated across sources.
3) Some challenges in realizing this vision include dealing with implicit knowledge, heterogeneous data distributions, and maintaining links and correctness over time as data changes.
Web 3.0 / Semantic Web: What it means for academic users, libraries and publi...Richard Wallis
The document discusses the concepts of Web 3.0 and the Semantic Web and their potential implications for academic users, libraries, and publishers. It introduces key ideas like linked data, using URIs to identify concepts and relationships, and the RDF data model. It notes that while the technology is still in the early adopter phase, publishers could help by making their data openly available in semantic formats and developing services that directly connect students to relevant resources through linked open data approaches. This may help break down silos between academic institutions and help students more easily access relevant information.
The document discusses semantic web technology, which aims to make information on the web better understood by machines by giving data well-defined meaning. It outlines the evolution of web technologies from the initial web to the semantic web. Key aspects of semantic web technology include ontologies to define common vocabularies, semantic annotations to associate meaning with data, and reasoning capabilities to enable complex queries and analyses. Languages, tools, and applications are needed to implement these semantic web standards and make the web of linked data usable.
This document provides an introduction to web technology. It discusses the history of the Internet and how it originated from the ARPANET network developed by the US Department of Defense in the 1960s to connect universities. It describes how TCP/IP protocols were created to allow communication across the Internet and defines common web-related terms like browsers, URLs, and the World Wide Web. It also distinguishes between static and dynamic websites.
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
This was a lecture I presented at Professor Stuart Madnick's class, "Evolution Towards Web 3.0" at the MIT Sloan School of Management on April 21, 2011. Please follow along with the speaker notes which add significant commentary to the slides.
The document discusses the Social Semantic Web and related technologies. It provides an overview of the growth of social networks and user-generated content online. It then discusses how semantic technologies can help connect isolated social communities and their data by adding machine-readable metadata. Key topics covered include the Semantic Web stack, linked data, ontologies for modeling social data like FOAF and SIOC, and applications like distributed identity and social recommendations.
Web 3.0 explained with a stamp (pt II: techniques)Freek Bijl
What really means web 3.0, or: the semantic web? With this second presentation I explain the meaning of web 3.0 by an example of a stamp collection. This presentation is a translation of a Dutch version made earlier. For more detailed information in Dutch you can have a look at BijlBrand.nl
This document provides an overview of the Semantic Web vision. It discusses how currently most web content is designed for human consumption rather than machine processing. The Semantic Web aims to develop a web of data that can be understood and processed by machines through the use of common data formats and description of relationships. This will allow data from different sources to be linked and queried in new ways, enabling more automated use and integration of web information.
Social Networks and the Semantic Web: a retrospective of the past 10 yearsPeter Mika
The document summarizes the past 10 years of social networks and the Semantic Web. It discusses how early visions of a decentralized, interoperable Social-Semantic Web did not fully materialize due to social networks consolidating user data into silos. However, work continues through standards bodies to develop vocabularies and building blocks that could still enable a federated social web. It also notes that while online social science is now widespread, challenges remain around access to social data and the ability to generalize findings over time and platforms.
What is hot on the web right now - A W3C perspectiveArmin Haller
HTTP and HTML and the Web itself enter their third decade of existence. Still, the Web continues to transform human communication, information sharing, commerce, education, and entertainment. Social networking, cloud computing, and the convergence of Web, television, video and online gaming are among the phenomena stretching the Web in exciting new directions. In this talk, Armin will present what the World Wide Web Consortium (W3C), overlooking and steering the development of new Web standards is up to for the third decade of the Web. The W3C community is building an Open Web Platform that will enable the Web to grow and foster future innovation. This presentation present technology highlights of 2011 for advancing the Web platform. Focus topics of this talk will be the new HTML5 standard, the Data for Web Applications initiative which includes the next generation of RDF, and standards that allow people to create Semantic Web enabled Web Apps that have access to data from a variety of sources, including data-in-documents (RDFa) and data-from-databases (W3C's RDB2RDF).
This document provides an overview of basic technology concepts and definitions relevant to the class, including the history and structure of the Internet and World Wide Web. It discusses how the Internet began as a government network and is now a global system of interconnected networks. Key points about the Web include that it is part of the Internet and allows users to navigate nonlinearly between pages through hyperlinks. The document also defines common terms like URLs, websites, web browsers, and search engines and directories. It provides examples of different types of digital content and online resources as well as basic software applications.
The document summarizes the evolution of the World Wide Web through three generations:
- Web 1.0 allowed one-way broadcasting of information from businesses to users through static HTML pages and was read-only.
- Web 2.0 enabled two-way interaction and user-generated content through technologies like blogs, social media, and wikis, making it read-write.
- Web 3.0, also called the Semantic Web, aims to allow machines to understand the meaning of information on the web through technologies like metadata, ontologies, and logic in order to generate personalized content for users.
Semantic Web 2.0: Creating Social Semantic Information SpacesJohn Breslin
This tutorial provides an overview of applying Semantic Web technologies to emerging Web 2.0 applications and social media to create "Social Semantic Information Spaces." It discusses adding semantics to blogs, wikis, forums, and social networks through standards like RDF and ontologies. The goal is to overcome limitations of these applications and enable more automated information sharing and discovery across interconnected sites and communities.
Interlinking Online Communities and Enriching Social Software with the Semant...John Breslin
This document summarizes a presentation about interlinking online communities using Semantic Web technologies. It discusses:
1. The SIOC (Semantically-Interlinked Online Communities) project which aims to semantically connect online discussion sites through a common data model.
2. How SIOC represents the structure and content of communities using RDF properties and classes. Communities can then exchange and query data using common semantics.
3. Tools that export community data into RDF using SIOC, including for WordPress, vBulletin, and phpBB. This allows interlinking users, content, and activities across sites.
The document discusses the agenda for a presentation on the Semantic Web. The agenda includes an overview of the World Wide Web, an introduction to the Semantic Web, tools and applications for the Semantic Web, Linking Open Data, the Social Semantic Web, and Open Government. Each section provides details on the topic covered.
The document discusses the evolution of the World Wide Web from Web 1.0 to the current Web 2.0 to the future Web 3.0 or Semantic Web. Web 1.0 consisted of static pages and limited user interaction. Web 2.0 enabled user-generated content and more dynamic functionality through sites like Facebook. The Semantic Web, as envisioned by Tim Berners-Lee, aims to make web content machine-readable through technologies like URIs, XML, and ontologies to allow for more intelligent searching and connections between information. The document provides examples to illustrate the differences between each stage of the web's evolution.
The document provides an introduction to the semantic web, explaining that it aims to allow computers to interpret data on the internet by modeling information and relationships between data using metadata and implicit deductions, which will enable machines to better understand context, answer questions, and accomplish tasks without human involvement. It discusses how explicit metadata standards like RDF and implicit deductions are used to build semantic models and provides examples of how semantic searching and aggregation of content can be more useful than traditional methods.
- The document is a slide presentation on semantic analysis in language technology that discusses the semantic web and ontologies. It provides examples of question answering systems like START, Siri, and IBM Watson and discusses the evolution of the web from Web 1.0 to Web 2.0 to the proposed Web 3.0. It also introduces key concepts like ontologies, semantic metadata, and the role of semantics in allowing machines to process information.
This document provides an introduction to the Semantic Web, covering topics such as what the Semantic Web is, how semantic data is represented and stored, querying semantic data using SPARQL, and who is implementing Semantic Web technologies. The presentation includes definitions of key concepts, examples to illustrate technical aspects, and discussions of how the Semantic Web compares to other technologies. Major companies implementing aspects of the Semantic Web are highlighted.
An Introduction to Semantic Web TechnologyAnkur Biswas
The document provides an overview of the semantic web and some of its key challenges. It discusses:
1) The evolution of the world wide web from a web of documents to a web of linked data through technologies like RDF, OWL, and SPARQL that add semantic meaning.
2) The vision for the semantic web is to publish machine-readable data using common formats so that information can be automatically processed by agents and integrated across sources.
3) Some challenges in realizing this vision include dealing with implicit knowledge, heterogeneous data distributions, and maintaining links and correctness over time as data changes.
Web 3.0 / Semantic Web: What it means for academic users, libraries and publi...Richard Wallis
The document discusses the concepts of Web 3.0 and the Semantic Web and their potential implications for academic users, libraries, and publishers. It introduces key ideas like linked data, using URIs to identify concepts and relationships, and the RDF data model. It notes that while the technology is still in the early adopter phase, publishers could help by making their data openly available in semantic formats and developing services that directly connect students to relevant resources through linked open data approaches. This may help break down silos between academic institutions and help students more easily access relevant information.
The document discusses semantic web technology, which aims to make information on the web better understood by machines by giving data well-defined meaning. It outlines the evolution of web technologies from the initial web to the semantic web. Key aspects of semantic web technology include ontologies to define common vocabularies, semantic annotations to associate meaning with data, and reasoning capabilities to enable complex queries and analyses. Languages, tools, and applications are needed to implement these semantic web standards and make the web of linked data usable.
This document provides an introduction to web technology. It discusses the history of the Internet and how it originated from the ARPANET network developed by the US Department of Defense in the 1960s to connect universities. It describes how TCP/IP protocols were created to allow communication across the Internet and defines common web-related terms like browsers, URLs, and the World Wide Web. It also distinguishes between static and dynamic websites.
Evolution Towards Web 3.0: The Semantic WebLeeFeigenbaum
This was a lecture I presented at Professor Stuart Madnick's class, "Evolution Towards Web 3.0" at the MIT Sloan School of Management on April 21, 2011. Please follow along with the speaker notes which add significant commentary to the slides.
The document discusses the Social Semantic Web and related technologies. It provides an overview of the growth of social networks and user-generated content online. It then discusses how semantic technologies can help connect isolated social communities and their data by adding machine-readable metadata. Key topics covered include the Semantic Web stack, linked data, ontologies for modeling social data like FOAF and SIOC, and applications like distributed identity and social recommendations.
Web 3.0 explained with a stamp (pt II: techniques)Freek Bijl
What really means web 3.0, or: the semantic web? With this second presentation I explain the meaning of web 3.0 by an example of a stamp collection. This presentation is a translation of a Dutch version made earlier. For more detailed information in Dutch you can have a look at BijlBrand.nl
This document provides an overview of the Semantic Web vision. It discusses how currently most web content is designed for human consumption rather than machine processing. The Semantic Web aims to develop a web of data that can be understood and processed by machines through the use of common data formats and description of relationships. This will allow data from different sources to be linked and queried in new ways, enabling more automated use and integration of web information.
Social Networks and the Semantic Web: a retrospective of the past 10 yearsPeter Mika
The document summarizes the past 10 years of social networks and the Semantic Web. It discusses how early visions of a decentralized, interoperable Social-Semantic Web did not fully materialize due to social networks consolidating user data into silos. However, work continues through standards bodies to develop vocabularies and building blocks that could still enable a federated social web. It also notes that while online social science is now widespread, challenges remain around access to social data and the ability to generalize findings over time and platforms.
What is hot on the web right now - A W3C perspectiveArmin Haller
HTTP and HTML and the Web itself enter their third decade of existence. Still, the Web continues to transform human communication, information sharing, commerce, education, and entertainment. Social networking, cloud computing, and the convergence of Web, television, video and online gaming are among the phenomena stretching the Web in exciting new directions. In this talk, Armin will present what the World Wide Web Consortium (W3C), overlooking and steering the development of new Web standards is up to for the third decade of the Web. The W3C community is building an Open Web Platform that will enable the Web to grow and foster future innovation. This presentation present technology highlights of 2011 for advancing the Web platform. Focus topics of this talk will be the new HTML5 standard, the Data for Web Applications initiative which includes the next generation of RDF, and standards that allow people to create Semantic Web enabled Web Apps that have access to data from a variety of sources, including data-in-documents (RDFa) and data-from-databases (W3C's RDB2RDF).
This document provides an overview of basic technology concepts and definitions relevant to the class, including the history and structure of the Internet and World Wide Web. It discusses how the Internet began as a government network and is now a global system of interconnected networks. Key points about the Web include that it is part of the Internet and allows users to navigate nonlinearly between pages through hyperlinks. The document also defines common terms like URLs, websites, web browsers, and search engines and directories. It provides examples of different types of digital content and online resources as well as basic software applications.
The document summarizes the evolution of the World Wide Web through three generations:
- Web 1.0 allowed one-way broadcasting of information from businesses to users through static HTML pages and was read-only.
- Web 2.0 enabled two-way interaction and user-generated content through technologies like blogs, social media, and wikis, making it read-write.
- Web 3.0, also called the Semantic Web, aims to allow machines to understand the meaning of information on the web through technologies like metadata, ontologies, and logic in order to generate personalized content for users.
Semantic Web 2.0: Creating Social Semantic Information SpacesJohn Breslin
This tutorial provides an overview of applying Semantic Web technologies to emerging Web 2.0 applications and social media to create "Social Semantic Information Spaces." It discusses adding semantics to blogs, wikis, forums, and social networks through standards like RDF and ontologies. The goal is to overcome limitations of these applications and enable more automated information sharing and discovery across interconnected sites and communities.
Interlinking Online Communities and Enriching Social Software with the Semant...John Breslin
This document summarizes a presentation about interlinking online communities using Semantic Web technologies. It discusses:
1. The SIOC (Semantically-Interlinked Online Communities) project which aims to semantically connect online discussion sites through a common data model.
2. How SIOC represents the structure and content of communities using RDF properties and classes. Communities can then exchange and query data using common semantics.
3. Tools that export community data into RDF using SIOC, including for WordPress, vBulletin, and phpBB. This allows interlinking users, content, and activities across sites.
Journey of world wide web across its various phases and how we could achieve the web that we have at present. Also an insight into the current and future trends in world wide web and Internet.
The document provides an overview of Web 3.0, which aims to create a semantic web of data that can be understood by machines through artificial intelligence. It describes how Web 3.0 will use technologies like the Resource Description Framework (RDF) and Web Ontology Language (OWL) to define and relate data using uniform resource identifiers. Rules will also be formulated using the Semantic Web Rule Language (SWRL) to enable machines to reason about the data. This semantic web of machine-readable information aims to organize data on the internet in a way that better satisfies the requests of people and computers.
Web 3.0 refers to a semantic web where information is given understood meaning to enable better organization and search. It involves representing data using Resource Description Framework (RDF) and ontologies, defining relationships between concepts using Web Ontology Language (OWL), and formulating rules using Semantic Web Rule Language (SWRL) to enable reasoning about data. This moves the web towards being a web of data that can be processed by machines to better satisfy user needs.
This document discusses various technologies that can be used for instruction, including SMART Notebook software for interactive content creation and sharing, LiveText for assessment, and RubiStar for developing rubrics. It also outlines features of the Wimba virtual classroom platform and describes concepts related to Web 2.0 like Ajax, mashups, RSS, blogs, wikis, and social networking. Key Web 2.0 technologies and applications highlighted include Google Maps, YouTube, Prezi, Dropbox, WordPress, and open educational resources from the OpenCourseWare Consortium. The document concludes with an overview of the Semantic Web and the potential for Web 3.0 to enable more intelligent searching and automated task completion.
Jagannath Institute Of Management Sciences, Vasant Kunj-II is one of the best BCA institutes. Dr. Arpana Shares here the Notes of Web Technologies. JIMS teaches the subject in III semester.
The document discusses the development of the Semantic Web, which extends the current web to a web of data through the use of metadata, ontologies, and formal semantics. It describes key technologies like the Resource Description Framework (RDF) and Web Ontology Language (OWL) that add machine-readable meaning to web documents. The Semantic Web aims to enable machines to process and understand the semantics of information on the web.
The document discusses key concepts related to the semantic web including XML, RDF, ontologies, and OWL. It explains how these technologies provide structured data and meaningful links between resources to enable computers and humans to better collaborate. The document also categorizes different types of educational activities that can be supported by web 2.0 technologies, such as media sharing, social networking, and wikis.
The document discusses the future of repositories and how they may evolve based on emerging technologies and trends. It examines how repositories could adopt aspects of Web 2.0 like social features, tagging, and improved interfaces. It also explores the potential impact of semantic web technologies through richer metadata standards like the Scholarly Works Application Profile (SWAP). The document suggests repositories should focus on making content available on the web rather than just placing it in repositories to better support open access goals.
The document discusses the evolution of the semantic web from its origins in military technology to its current use in commercial applications. It describes how semantic web standards like RDF, RDFS, and OWL were developed and how the semantic web has transformed in areas like markets, linked data, and scaling. The talk outline focuses on the origins of the semantic web, key developments through 2010, transformations in three application areas, related markets and companies, and the linked data and scaling revolution.
The document discusses the evolution of the World Wide Web from Web 1.0 to the current Web 2.0 and provides definitions and perspectives on what Web 3.0 may entail. Key aspects of Web 3.0 discussed include it being called the "Semantic Web" or "Intelligent Web" which will allow computers to better understand and process the meaning of information on the web through technologies like RDF, RDFS, OWL and SPARQL.
An intelligent expert system for location planning is proposed that uses semantic web technologies and a Bayesian network. The system integrates heterogeneous information through an ontology. It develops an integrated knowledge process to guide the engineering procedure. Based on a Bayesian network technique, the system recommends well-planned attractions to users.
Hypertext2007 Carole Goble Keynote - "The Return of the Prodigal Web"hypertext2007
Carole Goble, Professor in the School of Computer Science in the University of Manchester. This is the slides of the keynote presentation opening the Hypertext 2007 Conference in Manchester, UK on the 10th September 2007.
Visit http://www.ht07.org for more details
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.
The document discusses the semantic web and how it can potentially disrupt or benefit online commerce. It provides definitions and explanations of key concepts related to the semantic web including RDF, ontologies, linked data, and semantic search. It outlines how search engines and websites are increasingly adopting and leveraging semantic web technologies like RDFa to provide richer search results and experiences for users.
The World Wide Web was created in 1991 by Tim Berners-Lee as a way to share scientific documents over the Internet. It uses HTML pages that can be accessed via HTTP and linked together through hyperlinks. While often used interchangeably, the Web is actually a subset of the larger Internet, which includes other applications like email and file transfer. The Web evolved from static publishing in its early Web 1.0 stage to include more participation and social features in Web 2.0, and aims to add semantic capabilities in its ongoing development of Web 3.0.
The document summarizes semantic technologies that can be used to make web search and content more intelligent. It discusses how search and online media are converging, and how semantic markup like RDFa, microformats, and microdata can be used to embed structured data in web pages. This allows search engines and other applications to better understand page content and provide more sophisticated features like entity search, personalized results, and content aggregation.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
2. W
hat is web 1.0?
An old internet that only allows people to read from the
An old internet that only allows people to read from the
internet.
internet.
Firststage World wide linking web pages and hyperlink.
First stage World wide linking web pages and hyperlink.
Webis use as “information portal”
Web is use as “information portal”
Ituses table to positions and align elements on page
It uses table to positions and align elements on page
3. What is web 2.0?
It is aaplatform that give users the possibility to control
It is platform that give users the possibility to control
their data.
their data.
This is about user -- generated content and the read This is about user generated content and the readwrite web.
write web.
Everyone can be content producer.
Everyone can be content producer.
Web 2.0 can be describe into 3 concepts which is ….
Web 2.0 can be describe into 3 concepts which is ….
9. W
hat is W 3.0???
EB
Suggested name by John Markoff of the New York Times for the
Suggested name by John Markoff of the New York Times for the
third-generation of the web.
third-generation of the web.
In this generation, all the application on web or mobile will be
In this generation, all the application on web or mobile will be
upgraded with more features.
upgraded with more features.
It apply same principle as WEB 2.0 : :two way interaction
It apply same principle as WEB 2.0 two way interaction
Web 3.0 will be more connected, open, and intelligent, with semantic
Web 3.0 will be more connected, open, and intelligent, with semantic
Web technologies, distributed databases, natural language processing,
Web technologies, distributed databases, natural language processing,
machine learning, machine reasoning, and autonomous agents.
machine learning, machine reasoning, and autonomous agents.
10. Different between W 3.0 with W 2.0 and
EB
EB
W 1.0
EB
WEB 1.0
WEB 2.0
WEB 3.0
The web
The social web
The semantic web
Read only web
Read and write web
Read, write and execute
web
Information sharing
Interaction
Immersion
Connect information
Connect people
Connect knowledge
All about static content,
one way publishing (one
way communication)
More about two way
communication through
social networking,
blogging, tagging and
wikis.
Curiously undefined.
Example : Personal web
sites
Example : Blogs,
Facebook
Example : Semantic blog
(semiblog, haystack)
13. W is Semantic W
hat
eb???
Definition : The semantic web is
an exciting new evolution of the
World Wide Web (WWW)
providing machine-readable and
machine-comprehensible
information far beyond current
capabilities.
help computers understand the meaning behind
the web page.
Make life easier.
The web of the future.
16. URI
uniform resource identifier (URI) is the way you
identify any of those points of content, whether it be a
page of text, a video or sound clip, a still or animated
image, or a program.
The most common form of URI is the Web page
address, which is a particular form or subset of URI
called a Uniform Resource Locator (URL). A URI
typically describes:
The mechanism used to access the resource
The specific computer that the resource is housed in
For ex:
http:/www.w3.org/
/
Icons/ W /
W W w3c_main.gif
17. URL
This URL is broken into four parts:
HTTP : communication protocol
:/ : Separator
/
www: W
orld W
ide W
eb
Google:The site name
com: domain name .com for commercial.
18. RDF
The Resource Description Framework (RDF) is a
family of World Wide Web
Consortium (W3C) specifications originally
designed as a metadatadata model
This framework is used to represent data in the
LOD (linking open data) cloud as an XML file.
It is also a way to define resources using a specific
framework.
*LOD : data in the LOD cloud is o p e n and freely
available. The ultimate sense of openness is that
the data may be freely e d ite d by users,
19. RDFS
RDF Schema (Resource Description Framework
Schema, variously abbreviated
as RDFS, RDF(S), RDF-S, or RDF/ is a set of
S)
classes with certain properties using
the RDF extensible knowledge
representation language, providing basic
elements for the description of ontologies,
otherwise called RDF vocabularies, intended to
structure RDF resources.
Semantic Extension RDF .
20. OWL
Ontology defines the terms used to describe and
represent an area of knowledge. Ontologies are used by
people, databases, and applications that need to share
domain information (a domain is just a specific subject
area or area of knowledge, like medicine.
The OWL Web Ontology Language is designed for use
by applications that need to process the content of
information instead of just presenting information to
humans.
OWL is a We b Ontology language. Where earlier
languages have been used to develop tools and
ontologies for specific user communities (particularly in
the sciences and in company-specific e-commerce
applications
21. MICROFORMAT
•
•
•
Microformats are small patterns of HTML to
represent commonly published things
like people, events, blog
posts, reviews and tags in web pages.
Microformats are the quickest & simplest way to
provide an API to the information on your
website.
Microformats intend to solve simpler problems
first by adapting to current behaviors and usage
patterns (e.g. XHTML, blogging).
22. Many Web developers would just format the content as a generic list
like this:
<ul>
<li>Joe Doe</li>
<li>The Example Company</li>
<li>604-555-1234</li>
<li><a
href="http://example.com/">http://example.com/
</a></li>
</ul>
The problem with this is that the inherent structure of that
information is completely lost. If I want to pull those contacts out
and put them in my address book I have to do it manually.
23. So the previous example would look like this with the hCard
microformat:
<ul class="vcard">
<li class="fn">Joe Doe</li>
<li class="org">The Example Company</li>
<li class="tel">604-555-1234</li>
<li><a class="url"
href="http://example.com/">http://example.co
m/</a></li>
</ul>
25. Challenges
• Explanation
Vastness
Other problems associated with Web
3.0 expansion are the vastness of the
web and security issues with cloud
computing.
According
to WorldWideWebSize.com, the web
today contains at least 20 billion
indexed pages.
This is a rather big input for any
modern system that deals with
information and semantics. It will take
some time to remove all duplicate
terms and to outline information with
semantic values that are specific to
the subject
26. Challenges
• Explanation
Vagueness
Web 3.0 assumes that computers
will be using their own reasoning
to deal with tons of information,
available in forms like RDF, XML,
or any other markup language.
To catalog information in real
time and deal with its vagueness,
systems will have to use fuzzy
logic in order to process different
types of information.
27. Challenges
• Explanation
Uncertainty
Uncertainty refers to something a
system can't easily classify and
save to the appropriate table in
the database.
Inconsistency stands for logical
contradictions which inevitably
arise during the development of
large systems.
One can't use deductive
reasoning to solve this problem.
Instead, defeasible reasoning and
paraconsistent reasoning should
be used
Inconsistency