The concept of a Semantic web: Websites define the subjects of their webpages – as opposed to relying on the extraction of keywords from the content.
When a website provides the scope of their content, they must use streamlined terminology. When terms are not assigned a meaning before hand; thier meaning will be subjective.
Groups and organizations that encourage a Semantic Web, often produce vocabularies. Sites choose one of the various vocabularies available. This provides a way for their users to look up the meanings of the jargon.
Semantic Web: Community and wiki.
The semantic web has evolved to include more data then just the topic of content.
Lets say a site collects information on books. Each book has it’s own webpage within the website. Each book has different data for – author; title; subtitle; etc.
The semantic web can extend to include this data. Even though the Author of a book can not be subjective, the way the Author’s name/information is included in a site, can be.
Controlled vocabularies can have controlled structures. The data provided has informative labels(which are each defined in the controlled vocabulary). For example: Author[label] – Ted [Data]. Also, the data has regulations and rules.
For example: The year a book is published, might have a rule that says it can’t be written out.
Correct – Date of Publication[Label]: 1984
Wrong – Date of Publication[Label]: Nineteen Eighty Four
Data architecture leads to proficient data linking.
OntoWiki: Semantic Data Wiki and Linked Data Publishing Engine.
W3C Semantic Web: Wiki.