Big Structure: At The Nexus of Knowledge Bases, the Semantic Web and Artificial Intelligence | AI3:::Adaptive Information(About) Neither the semantic Web nor linked data has developed the practices, tooling or experience to actually interoperate data across the Web... Where it is compliant and from authoritative information sources, linked data can be a gold standard in data publishing. But, linked data is neither necessary nor essential, and may even be a diversion if it sucks the air from the room for what is more broadly useful.
Interoperability requires reference structures, what we are calling Big Structure.
Most analysts see firms that are actively pursuing data integration innovations as forward-thinking and more competitive.
The semantic Web, in our view, is properly understood as a sub-domain of artificial intelligence. Semantic technologies mesh smoothly with natural language tasks and objectives. But, as we noted in a recent review article, artificial intelligence is itself undergoing a renaissance. These advances are coming about because of the use of knowledge-based AI (KBAI), which combines knowledge bases with machine learning and other AI approaches. Natural language and spoken interfaces combined with background knowledge and a few machine-language utilities are what underlie Apple’s Siri, for example.