These are the key resources for adding semantics to the documents we extract. Most of you will know Wikipedia, but Wikidata is a new extension. It provides structured precise knowledge for machines to process and it's very well supported in biomedical where many of the main databases (e.g. MESH) have been integrated. The plant taxonomy support is good and many of the identifier systems (USDA, GBIF, ITIS ... at least 25) have been incorporated.
We will use Ocimum sanctum as our example.
If we look for Ocimum sanctum in Wikipedia we are redirected to https://en.wikipedia.org/wiki/Ocimum_tenuiflorum . This is because Ocimum tenuiflorum is a synonym and preferred in Wikipedia.
The first sentence of the entry/page is very useful, especially when creating dictionaries.
This shows disambiguation, and the first line shows synonyms.
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list:
identifiers:
categories:
In many cases, especially for species, there are links to non-existent pages.
https://en.wikipedia.org/wiki/Menthol
Note the huge infobox on the right. This contains:
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Wikipedia has a number of pages which are not about single topics, but lists of pages. These are extremely valuable for making dictionaries. Here are some of the types you can use
https://en.wikipedia.org/wiki/List_of_Indian_spices
This contains a list, arranged as a table:
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These types of table-list will be very useful later. They can occur as single pages and also list-bars at the bottom of pages.
https://en.wikipedia.org/wiki/Category:Millets
Categories are very valuable as they are part of the semantic system and can be used in Wikidata. Categories occur as single pages (as above) and also in category bars at the bottom of pages.
These are less structured but are common for family/genus/species. They often give good extraction, but can also be messy. https://en.wikipedia.org/wiki/Ocimum gives a list of species and we can extract these if required.
All this leads to Wikidata ...