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Berkan we find some key points: * structured data is not equivalent to semantic technology. Simply organizing information in a database, to pull results for the search engines inside their SERP, it's not making semantics..........

This is project intends to: 1. Transcribe and upload relevant citations from key texts related to history and theory of media/technology change, 2. Make these citations searchable in database format, and 3. Visualize this information in a manner that graphically highlights interconnections and gaps between technologies, chronologies, geographies, and theories.

The latest project by Stephen Wolfram is defined as the first "computational knowledge engine", something capable of answering factual question for you. The Wolfram engine is described as "a proprietary system based on fields of knowledge, containing terabytes of curated data and millions of lines of algorithms to represent real-world knowledge as we know it".

"Although the Semantic Web (SW) is still very much in its infancy, there is already a lot of data out there which conforms to the proposed SW standards (e.g. RDF and OWL). Small vertical vocabularies and ontologies have emerged, and the community of people using these is growing daily.... "

Hopefully by the end of the year, the semantic search technology of Twine will make a further step into the construction of structured data on the Web, and its successor T2 will be released. From an interview with Nova Spivack (CEO of Radar Networks, the company behind Twine) we can argue four main points..........