The document discusses different types of semantics including natural language semantics, lexical semantics, and compositional semantics. It also discusses how search engines currently use statistical methods rather than semantic methods. While statistics have been effective, the document argues for semantic markup, especially for non-textual data like tables, microarray data, experimental protocols, and chemical structures, which do not come in sentences. Semantic markup of chemical structures could allow for better indexing and searching of literature for chemists. The document poses questions about how letting words stand for themselves and semantic markup could be achieved and what non-textual data and external resources an organization may have.

1. All aboard the semantic bandwagon… … hold on a moment Colin Batchelor 20101202

6. The case for chemical markup There are very well established and understood methods for indexing and searching chemical structures. Chemical structures are the chief route into the literature for many chemists. We can extract chemical structures at least semi-automatically from: Molecule names Author-supplied graphics

8. Any questions for me?