Semantic Web 2.0
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The document discusses the vision of the Semantic Web and how it allows data to be shared and reused across applications. It outlines some of the key components of the Semantic Web like ontology, RDF, and URIs. It also discusses some common misconceptions about the Semantic Web, including that it is not about building AI applications or that it requires large ontologies. The Semantic Web is envisioned to seamlessly integrate with the existing Web to allow easier sharing and integration of data.
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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.
Autonomous Agents for Flexible Hypermedia Systems
The document discusses applying principles from the Web architecture and REST to engineering multi-agent systems, focusing on using hypermedia to guide interactions between autonomous agents and enable them to integrate and cooperate with various resources on the Web of Things in a flexible manner. The talk outlines how building on patterns from the Web can help address challenges around integrating devices and enabling machines to use functionality provided by other machines.
My understanding semantic web
The document discusses the semantic web and its differences from the current web. The semantic web aims to add meaning to documents so that computers can better understand human language. This would allow computers to more accurately find, combine, and act on information. However, fully realizing the semantic web faces challenges, and experts are divided on when and if it will be achieved. Some believe the vision is too complex given variations between people and cultures, while others feel significant progress can be made by 2020.
Web 3.0
This document outlines the evolution of the World Wide Web from Web 1.0 to Web 3.0. Web 1.0 focused on static, one-way information sharing. Web 2.0 emphasized user-generated content and social interaction. Experts envision Web 3.0 as being driven by machine intelligence through technologies like the Semantic Web, which adds metadata to allow machines to understand web content. Other potential aspects of Web 3.0 include interactive video, 3D environments, and ubiquitous access through various devices. The document discusses how these technologies could lead to more personalized experiences and intelligent systems capable of complex tasks like planning vacations.
Semantic Web 2.0: Creating Social Semantic Information Spaces
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.
Web 3.0? A look at the future of the World Wide Web
The document discusses the history and future of the World Wide Web. It describes the evolution from Web 1.0's static pages to Web 2.0's user-generated content. Web 3.0, also called the Semantic Web, aims to add meaning and structure to online content using metadata standards. However, challenges remain regarding who will assign, maintain, and organize the metadata at a global scale. The future of an open Web also remains uncertain as control increasingly shifts to large companies.
Web 2.0 Instructional Tools
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.
Future platform for internet of things
The document discusses the need for new development tools to support the future Internet of Things platform. It notes that as everyday objects become connected, they will generate vast amounts of data and behave more like social networks. New tools are needed to handle the scalability demands and allow for mashups and processing of schema-less sensor data. Cloud computing will also be important for dynamically obtaining resources to serve fluctuating request levels from billions of connected devices.
Semantic web
The document discusses the Semantic Web, which aims to make web data more easily processable by machines through linking related information. It has four main components - URIs for identification, RDF for describing data, RDF Schema for describing data properties, and OWL for adding reasoning. This allows machines to better interpret and draw conclusions from web data. Challenges include dealing with the vastness, vagueness, uncertainty and inconsistency of web data. The document outlines benefits like more precise information retrieval and simplified application integration. It encourages contributions to developing Semantic Web languages and applications.
Web3.0- How brands can take advantage of the semantic shift - Brandsential
Web 3.0 will bring a fundamental shift in the way we interact with data online. Along the way, there will be opportunities to create the next Google or just understand how brand engagement will evolve……
semantic web tech.ppt
The document discusses the Semantic Web, which aims to extend the current web by adding meaning to data through technologies like XML, RDF, and ontologies. This will allow machines to better understand and process the meaning of information on the web. The key components that enable the Semantic Web are described, along with its potential uses and examples of implementation. Overall, the Semantic Web seeks to evolve the web into a more machine-readable format to improve knowledge management, information retrieval, and automation.
Web 3.0 :The Evolution of Web
Web 3.0 is the next stage of the internet's evolution. It will be a semantic web where machines can understand the meaning and context of information on the web. This will allow data to be queried and personalized based on its context rather than just keywords. Some features of Web 3.0 include microformats to embed data in web pages, RDF to define relationships between data, accessing all online data on demand through linking databases, 3D virtual worlds on browsers, and collaborative email that can be edited in real-time by multiple users simultaneously. Web 3.0 aims to fully realize the potential of the internet by developing technologies that enable machines to comprehend the semantics of information.
Web 2 0 & Beyond
This document provides an overview of the evolution of the World Wide Web from Web 1.0 to present-day Web 2.0 and predictions about future developments in Web 3.0. It describes key characteristics of Web 1.0, the rise of Web 2.0 principles like using the web as a platform and allowing user contributions, and potential capabilities of Semantic Web technologies to enable more intelligent searching in Web 3.0.
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A LITERATURE REVIEW ON SEMANTIC WEB – UNDERSTANDING THE PIONEERS’ PERSPECTIVE
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More from hchen1
Semantic HTML
The document discusses different methods for embedding semantic information in HTML pages, including microformats which use standard HTML tags and attributes to describe information, and RDFa which uses XML attributes to carry metadata. It provides examples of using microformats and RDFa to add semantic annotations and explores tools for processing and consuming these semantic data formats. The conclusion questions which technology, microformats or RDFa, web developers will embrace more in the future for adding semantics to web pages.
Geonames
Geonames is a free geographical database containing over 8 million geographical names and 6.5 million unique features. It combines data from over a dozen government agencies as well as commercial sources. Users can search and view Geonames data on a map. The Geonames data can also be accessed programmatically through a web service interface and used to build applications. Finally, users can contribute to the Geonames database by adding, editing, or tagging geographical records.
Google Maps API
This document provides an overview of the Google Maps API. It discusses loading a basic HelloWorld map, basic UI components, and loading location data dynamically from GeoRSS, KML, and custom XML files. It recommends using the GDownloadUrl and GXml functions provided by the API to download and parse location data from external XML sources. The assignment is to demonstrate loading dynamic location data onto a map.
OpenSearch
OpenSearch is a specification that describes how to build search services for the open web. It uses XML to describe search services and publishes search results in RSS or Atom formats. Key features include autodiscovery of services, search result descriptions, and URL templates that clients use to compose search requests to the service. Many websites and browsers support OpenSearch to allow discovery and use of new search services.
RSS and Atom in the Social Web
RSS and Atom formats have evolved over time to support syndication of content on the social web. RSS is used to push updates and news to users, while Atom enables describing web resources with additional metadata. The Atom Publishing Protocol allows creating, reading, updating and deleting resources via HTTP and XML, powering applications like blogs and content management systems.
An Introduction to Ajax Programming
This document provides an introduction to Ajax programming, including what Ajax is, how it differs from traditional HTTP paradigms, the key components needed for Ajax (XHTML, JavaScript, CSS), how to use the DOM and XMLHttpRequest objects to send and receive data from the server without refreshing the page, examples using the MochiKit JavaScript library to simplify Ajax programming, common pitfalls to avoid like breaking the back button and accessibility issues, and how Ajax can be used to make web pages more interactive and responsive.
Machine Tags
Machine Tags allow users to describe custom properties and relate online resources using a syntax based on subject-predicate-object triples, enabling uses like geotagging photos, field-based search, and linking to semantic web data. However, Machine Tags have limitations in expressing complex object values and semantic relationships. The document discusses how the software gnizr implements Machine Tag support by detecting tags, looking up locations in an external database, and notifying listeners to process and store the tag information.
Web 2.0 Mashups
A mashup is a web application that combines data from multiple sources to create a new integrated application. Mashups are enabled by recent web technologies like Ajax, REST, XHTML, CSS and RSS that allow data to be dynamically pulled from different sources and presented in a unified way. While similar to earlier concepts like web portals and aggregators, mashups uniquely generate new information and experiences from existing data sources. Legal and business issues remain regarding rights to use third-party data and reliance on external data sources.
Gnizr Architecture (for developers)
The document discusses several design patterns used in the Gnizr architecture, including the Data Access Object (DAO) pattern, Inversion of Control (IoC), Singleton, and Interceptor patterns. It provides examples of how each pattern is implemented in Gnizr, such as how DAO classes abstract access to the database and how the Spring framework enables IoC through dependency injection configured via XML. It also covers how WebWork actions, results, and interceptors are used in Gnizr.
Folksonomy and Tagging in the Social Web
The document discusses the emergence of folksonomy and tagging in social web applications. It describes how folksonomy differs from traditional taxonomy in that it allows collaborative, uncontrolled tagging of user-generated content. The document also analyzes the cognitive processes involved in tagging and categorizing information, and presents different models of how tagging systems can be characterized based on factors such as who is allowed to tag resources and how tags and resources are connected.
Developing Java Web Applications
The document discusses several key technologies for developing Java web applications, including Java Servlet technology, WebWork framework, Spring framework, and Apache Maven build tool. It provides an overview of how each technology addresses common problems like stateless communication, business logic implementation, view generation, and data access overhead. Examples are given showing how WebWork and Spring can be used together with Maven to build a simple "Hello World" application that follows the MVC pattern and leverages dependency injection.
Inside Gnizr
Gnizr is a web-based information organizer that helps users find, bookmark, visualize and share information. It was developed under research projects funded by NGA and AFRL and draws inspiration from Web 2.0 apps, the Semantic Web, and mashups. Gnizr Enterprise is a commercial product by Image Matters that provides customized knowledge fusion and integration solutions using Gnizr's open source code. The demo shows gnizr in action with screenshots available on Flickr. Gnizr addresses challenges like knowledge integration from distributed data stores and new tools for effective knowledge retrieval, visualization, and sharing.
Social Web Technologies
The document discusses the history and key concepts of Web 2.0 and social web technologies. It introduces the differences between Web 1.0 and Web 2.0, noting that Web 2.0 focuses on user-generated content and harnessing collective intelligence. The class will cover how social web technologies can improve productivity and develop social applications, and will discuss topics like folksonomy, tagging, mashups, geospatial web, semantic web, and blogs. Homework includes engaging with social media sites and resources related to the class topics.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
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- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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Recently uploaded (20)
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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HCL Notes and Domino License Cost Reduction in the World of DLAU
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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Semantic Web 2.0
- 1. Semantic Web 2.0 Dr. Harry Chen CMSC 491S/691S April 21, 2008
- 5. Most Important SW Components Ontology RDF URI Semantic Web
- 8. View RDF as a Graph Source: http://www.w3.org/TR/2003/PR-rdf-primer-20031215/fig1dec16.png
- 10. RDF Representations <rdf:RDF ……..> <….> <….> </rdf:RDF> XML Encoding Graph stmt(docInst, rdf_type, Document) stmt(personInst, rdf_type, Person) stmt(inroomInst, rdf_type, InRoom) stmt(personInst, holding, docInst) stmt(inroomInst, person, personInst) Triples RDF Data Model Good for Machine Processing Good For Human Viewing Good For Reasoning RDF is a simple language for building graph based representations
- 14. Ontology Demo Wine Ontology in SWOOP Wine Agent
- 15. Got Semantic Web? Why the Semantic Web remains to be a “research-ish” thing? Ontology RDF URI Semantic Web
- 16. Missing a Bridge The Web as we know it The Web that we hope to create Google Amazon YouTube HTML … Knowledge sharing Information reuse Machine-readable Web Ontology …
- 19. Misconception #1 The Semantic Web will bring about a “killer” application!
- 21. Misconception #2 Web 2.0, JSON, Ajax will “kill” the Semantic Web
- 23. Misconception #3 The Semantic Web is all about building an AI Web
- 25. Misconception #4 Large ontologies are required for building successful Semantic Web applications
- 27. Misconception #5 The Semantic Web is a different Web
- 29. We still haven’t solve the problem The Web as we know it The Web that we hope to create Google Amazon YouTube HTML … Knowledge sharing Information reuse Machine-readable Web Ontology …
- 30. Let’s do some speculation…
- 32. What can you conclude from this video? http:// www.youtube.com/watch?v =JVZ6E9EnJ3I