Google Aquires the Semantic Web, or Why Metaweb Matters
With Google’s aquisition of Metaweb the searchopolis takes a stake in the seemingly-forever-emerging Semantic Web, a concept with endlessly verbose standards and few demonstrable applications for all it promises. I yawned when I read of Google’s move, remembering a few years ago when I explored Freebase, Metaweb’s semantic database. I even tried downloading and playing with their semantically-rich database version of Wikipedia… and was really unimpressed. It was 3GB of schemas, xml, and ontology, seeming to add up to little of practical value.
Was I ever wrong. I returned to the database this last weekend and found a community of several hundred users maintaining a browsable schema, with some of these volunteer ontologists having contributed millions of facts to the database the same way people devote thousands of hours to maintaining Wikipedia. On its surface, the database just seems like a bunch of web pages, you click through the associations as you would on Wikipedia, with articles and entries leading into each other in standard hypertext fashion.
Where the value of semantic associations comes into play is when you experiment with the Freebase Query Editor, where you can search for data in explicit detail, tailoring it to your specific needs. For example, with the following query I can get a list of computer scientists born before 1950:
[{
"b:type": "/computer/computer_scientist",
"date_of_birth": null,
"date_of_birth< =": "1950",
"education": [{
"institution": null,
"id": null
}],
"name": null,
"id": null,
"type": "/people/person"
}]










