Semantic web
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The document provides an introduction to the semantic web, discussing its development from earlier metadata standards like Dublin Core. It explains the limitations of XML for representing semantics and the need for shared ontologies. The semantic web aims to add formal semantics to web content to enable software agents to process web resources like humans. Key technologies include RDF, RDF Schema, and DAML+OIL. Challenges include complexity, industry adoption, and trust.
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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.
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The document provides an overview of the Semantic Web and linked data. It defines the Semantic Web as publishing structured data on the web in a format that computers can understand, rather than just documents. Linked data follows principles like using URIs to identify things and linking data across sources to integrate information. Query languages like SPARQL can then be used to search across linked data. Examples show how data can be published as RDF and linked to create a global database. Applications that consume and combine linked data from multiple sources are discussed.
The semantic web
The document discusses the evolution of the World Wide Web towards a Semantic Web, where computers will be able to understand the meaning, context and relationships between data on web pages. It provides an example of how Semantic Web coding could link together different web pages about a professor by relating her faculty page, research, blog and staff listing. This creates a richer experience for users by making more information accessible in an interconnected way. The document then outlines some methods for implementing Semantic Web coding, such as using RDF triples or microformats, and provides examples of microformats being used on web pages.
Introduction to Semantic Web for GIS Practitioners
This document provides an introduction to the Semantic Web and RDF (Resource Description Framework). It discusses how the Semantic Web aims to extend the current web by giving data well-defined meaning to enable computers and people to better work together. It introduces RDF as a standard for representing information in the Semantic Web and provides examples of how RDF can be used to represent different types of data, such as relational data and evolving data scenarios.
Semantic Web: Explanation
The document discusses the evolution of the World Wide Web towards a Semantic Web, where machines can understand the meaning of information on the web. It describes how traditionally web pages existed independently without connections between them, but the Semantic Web aims to link related pages so search engines and browsers can more easily understand and expose the relationships between information. It provides an example of how a professor's faculty page, research page, blog, and staff listing could all be semantically linked to provide a richer experience for users.
Web 2.0 What is it and what does it mean for Retail banks?
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- 1. An Introduction To The Semantic Web Brian Kelly UK Web Focus UKOLN University of Bath UKOLN is supported by: Email [email_address] URL http://www.ukoln.ac.uk/
- 15. Model For Buying A Car With machine-understandable data it becomes easier to extend services Joe’s Used Car Web Site database Motor Trade schema Scottish Motor Trade schema Ford dealers schema Mapping service AA vehicle schema DVLA schema Value-added services AA Web site