In this post I assess why Latex is widely use and knowledge management efforts are not.
I'm using the spectrum documented in this previous post.
Latex for typesetting scientific documents
Latex was free, open source, well designed, solved a specific problem that had been unaddressed, the problem was felt by the content creators, is comprehensive, written by a single author, and the author was famous.
Now Latex has a user community, developers, libraries of software, reference books, support on multiple operating systems as well as the web.
Anything seeking to augment or displace Latex will need a value differentiation that is felt by content creators.
Semantic enrichment
- Start with Latex and manually annotate
- Start with Latex; use manually annotated corpus to train supervised machine learning model
- Start with a custom domain specific language
Manual annotation or supervised machine learning may be incomplete if there are missing steps or assumptions.
"Better search" isn't a problem felt by content creators. This need is somewhat addressed by citations.
I'm not aware of any models of success for semantic enrichment.
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