Get Information Retrieval On The Semantic Web - Umbc - Umbc

Semantically organized. The idea behind the Semantic Web is to categorize and store information in a way that helps "teach" an AI-based system what data means. Websites will be able to understand the words in search queries the same way a human would, enabling them to generate and share better content.

The Semantic Web is a vision for linking data across webpages, applications and files. Some people consider it part of the natural evolution of the web, in which Web 1.0 was about linked webpages, Web 2.0 was about linked apps and Web 3.0 is about linked data.

Data Representation: Ordinary Web: In the ordinary web, information is primarily presented in human-readable formats, such as HTML pages. The focus is on displaying content for human consumption. Semantic Web: The semantic web aims to represent information in a way that is understandable not.

The Semantic Web is what we will get if we perform the same globalization process to Knowledge Representation that the Web initially did to Hypertext. We remove the centralized concepts of absolute truth, total knowledge, and total provability, and see what we can do with limited knowledge.

The Semantic Web is a vision about an extension of the existing World Wide Web, which provides software programs with machine-interpretable metadata of the published information and data. In other words, we add further data descriptors to otherwise existing content and data on the Web.

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) and Web Ontology Language (OWL) are used. These technologies are used to formally represent metadata.