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Web3.0 Web 1.0 Web 2.0 Web 3.0 mobililty mobile WebMaster Evolution of the Web.... The web 3.0, ...mobility Web 3.0 presentation history and new web technology

"In addition to the classic "Web of documents" W3C is helping to build a technology stack to support a "Web of data," the sort of data you find in databases. The ultimate goal of the Web of data is to enable computers to do more useful work and to develop systems that can support trusted interactions over the network. The term "Semantic Web" refers to W3C's vision of the Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data are empowered by technologies such as RDF, SPARQL, OWL, and SKOS."

"In addition to the classic "Web of documents" W3C is helping to build a technology stack to support a "Web of data," the sort of data you find in databases. The ultimate goal of the Web of data is to enable computers to do more useful work and to develop systems that can support trusted interactions over the network. The term "Semantic Web" refers to W3C's vision of the Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data are empowered by technologies such as RDF, SPARQL, OWL, and SKOS."

In addition to the classic "Web of documents" W3C is helping to build a technology stack to support a "Web of data," the sort of data you find in databases. The ultimate goal of the Web of data is to enable computers to do more useful work and to develop systems that can support trusted interactions over the network. The term "Semantic Web" refers to W3C's vision of the Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data are empowered by technologies such as RDF, SPARQL, OWL, and SKOS.

The LDSpider project provides a web crawling framework for the Linked Data web. Requirements and challenges for crawling the Linked Data web are different from regular web crawling, thus the LDSpider project offers a web crawler adapted to traverse and harvest content from the Linked Data web.

Linked Data is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web. See Linked Data - The Story so far and How to publish Linked Data on the Web for more information about Linked Data.

Category:Semantic Web From Wikimedia Commons, the free media repository Jump to: navigation, search The semantic Web is an evolving extension of the World Wide Web in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content.

Zhe Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI). Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques

Following the workshop in Video on the Web, the goal of the Video in the Web activity is to make video a "first class citizen" of the Web. Video on the Web (and this includes audio, as the two are typically used together) has seen explosive growth, improving the richness of the user experience but leading to challenges in content discovery, searching, indexing and accessibility. Enabling users (from individuals to large organizations) to put video in the Web requires that we build a solid architectural foundation that enables people to create, navigate, search, link and distribute video, effectively making video part of the Web instead of an extension that doesn't take full advantage of the Web architecture.

provides an overview of our attempts to a more visual Data Web. The term Data Web refers to the evolution of a mainly document-centric Web toward a more data-oriented Web. In its narrow sense, the term describes pragmatic approaches of the Semantic Web, such as RDF and Linked Data. In a broader sense, it also includes less formal data structures, such as microformats, microdata, tagging, and folksonomies.

The LDSpider project aims to build a web crawling framework for the linked data web. Requirements and challenges for crawling the linked data web are different from regular web crawling, thus this projects offer a web crawler adapted to traverse and harvest sources and instances from the linked data web. We offer a single jar which can be easily integrated into own applications.

"The Semantic Web, Web 3.0, the Linked Data Web, the Web of Data…whatever you call it, the Semantic Web represents the next major evolution in connecting information. It enables data to be linked from a source to any other source and to be understood by computers so that they can perform increasingly sophisticated tasks on our behalf."

The Semantic Web is a vision for extending the Web so that machines can more intelligently integrate and process the wealth of information that is available. Unlike HTML and ordinary XML, Semantic Web languages allow semantics (i.e., meaning) to be explicitly associated with the content. The semantics are formally specified in ontologies, which can be shared via the Internet and extended for local needs. The current standard for the Semantic Web is OWL, a W3C Recommendation. The Semantic Web and Agent Technologies (SWAT) lab is investigating many of the issues needed to realize the Semantic Web vision.

The LDSpider project provides a web crawling framework for the Linked Data web. Requirements and challenges for crawling the Linked Data web are different from regular web crawling, thus the LDSpider project offers a web crawler adapted to traverse and harvest content from the Linked Data web.

Extracting Structured Data from the Common Web Crawl More and more websites have started to embed structured data describing products, people, organizations, places, events into their HTML pages. The Web Data Commons project extracts this data from several billion web pages and provides the extracted data for download. Web Data Commons thus enables you to use the data without needing to crawl the Web yourself.

What is Linked Data and the Semantic Web and what is all the hype about? Principally, the Semantic Web is a Web 3.0 web technology - a way of linking data between systems or entities that allows for rich, self-describing interrelations of data available across the globe on the web.

The journal Semantic Web - Interoperability, Usability, Applicability (ISSN: 1570-0844) brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics - or meaning - of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas.

The Web Science Trust (WST) is a charitable body with the aim of supporting the global development of Web Science  through a network of world class laboratories known as WSTnet . It is hosted by the University of Southampton. The origins of the Web Science Trust can be found in the Web Science Research Initiative (WSRI) which was established in 2006.

"he Semantic Web is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C).[1] The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description Framework (RDF)[2] and Web Ontology Language (OWL)[3] are used. These technol"

The (semantic) web is one of the most promising application areas for SWI-Prolog. Prolog handles the semantic web RDF model naturally, where RDF provides a stable model for knowledge representation with shared semantics. It turns out that Prolog is also quite capable of providing web-services (HTTP), especially where it comes to dynamic generation of HTML pages and providing data for Javascript web-applications using the JSON serialisation.