The standards of the Semantic Web are structures that establish ontologies. Standards have emerged for Resource Description Framework (RDF) and Ontology Web Language (OWL). When these ontologies are combined with existing Hypertext Markup Language (HTML) and eXtensible Markup Language (XML), the result is the Semantic Web, which is a foundation for artificial intelligence (AI), machine interpretation of natural language, more relevant query results, and other advances. For instance, on the Semantic Web, computer programs known as agents know the difference between similar words or can construe other differences important for geospatial processing. For geospatial practitioners, semantics can be a matter of improved relevance of results and interoperability of spatial data. A more semantic Web would hold much data describing all the words significant for a site and also their meanings. Some geospatial experts foresee a future in which geospatial information permeates our lives so completely that it becomes unremarkable. On the technical level, the vision of Tim Berners-Lee for the Semantic Web would require the linking of every word to one or more unique universal resource identifiers (URIs) and the tagging of Web pages appropriately. To support automated machine reasoning, an AI Web would have to build relationship triples from standard URIs, which would link individual elements of a language to the Webs core identifier, the URI. Triples capture hierarchies and relationships. At Stanford Universitys Knowledge Systems Lab Wine Agent site, there is an example of a non-geospatial user interface (UI).