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Abstract
Web 3.0 (a.k.a. the semantic web) has been described as having four components or goals: semantic, 3D-based, media-centric, and pervasive.
The Semantic web describes an environment in which "machine-readable" metadata is incorporated into existing web pages to allow for more complex queries and a higher level of complexity in terms of searching. Standards including RDF and OWL are in place currently and many other semantic metatools are under development. These tools require a complete re-annotation of existing web content.
In addition to a complete re-annotation, Web 3.0 is developing tools that use existing content (parsed and machine-learned) to automate the creation of tags to describe a website or database’s content.
In terms of searches, Web 3.0 is focused on improving the keyword search model and striving towards natural language queries and content being presented in a more visual and more 3D environment. It also extends away from the ideas of words and focuses on being able to use media directly for queries (images, video, etc).
Our project will provide a summary of what Web 3.0 includes and is attempting to accomplish. We will focus on the semantic and media-centric aspects of Web 3.0. We will discuss and evaluate the existing technologies as well as the technologies under development to change the semantics and annotation of the web. Finally, we will look at how these changes will bring about new media and how the web's organization and search ability will be improved and modified.
Focus:
Evaluating the potential ontologies and tools to implement these technologies in the Semantic web 3.0. Compare and contrast the ontologies in development and the methods used to implement them. What are their benefits and disadvantages. We will examine the current trends in 3.0 and identify the major academic and commercial contributions to date.
