
For a little over a decade, those researchers and visionaries originally involved in establishing the infrastructure for the World Wide Web have set their sights higher. While hyperlinking Web pages has been pivotal to creating a Web of documents, the more recent goals to establish a Semantic Web involve hyperlinking data, or individual elements within a Web page. In attaching unique identifiers (in the form of Uniform Resource Identifiers or URIs) and metadata to data points (rather than to just the documents where those data points appear) machines are able to interpret, not just what the browser should display, but also what the page is about. The hope is that, in providing machines with the capacity to interpret what data is about, it will be possible to drastically improve Web search and to allow researchers to perform automated reasoning on the massive amounts of data contributed to the Web. There are numerous examples where this infrastructure is already having impact (albeit largely behind-the-scenes). For instance, the New York Times has already “semantified” all of its data and created a Semantic API where researchers can query its database. Facebook’s Graph API, which employs Semantic Web infrastructure to structure user profile data, has been the foundation for several studies attempting to make sense of human behavior and interactions through the platform’s “big data.” more...

