Web 3.0 is often quoted as the semantic web and the next phase of the Internet. The World Wide Web Consortium (W3C) seeks to convert the current web of unstructured and semi-structured data into a web of data, where it will be possible to easily share and re-use data across application, community, and enterprise boundaries. Tim Berners-Lee has already identified it as the web of data, like a global database. One of the major obstacles has been the fact that most information on the Web is designed for human consumption and not so much for machine learning.
This interesting topic was inspired by the article, “Could Big Data Spur Semantic Web Development?” found on Smart Data Collective.
How will the continued challenged of handling big data change the status quo of the semantic web?
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
