Gutenberg:Searching
From Project Gutenberg, the first producer of free electronic books (ebooks).
This article provides an overview of the Gutenberg Wiki search feature. If you want to search for books go to the Project Gutenberg Online Book Catalog.
Contents |
Gutenberg search
Put your keyword in the searchbox.
- Go - (or Enter on keyboard) will take you automatically to the article.
- Search - will return a list of articles.
Effective searching
Here are few good tips and hints for using the Wiki search feature effectively:
Limiting results
- Any word: The default search mode will turn up results with any of the words in your query. For instance, search engine] turns up many results containing only "free" but not "ebooks" or only "ebooks" but not "free" in addition to the ones you probably wanted, which contain both words.
Avoid short and common words
If your search terms include a common "stop word" (such as "the", "one", "your", "more", "right", "while", "when", "who", "which", "such", "every", "about") it may give a large number of non-relevant results. It is not possible to search for numbers.
Wildcards
You can use some limited wildcards if you really want to. Look up "fulltext search" on http://www.mysql.com/ and look down under 'boolean search' for the details. However, wildcard searches are slower, so go easy on the poor server.
Namespaces searched by default
The search only applies to the namespaces selected in the user's preferences. To search the other namespaces check or uncheck the tickboxes in "Search in namespaces" box found at the bottom of a search results page. Depending on the browser, a box may still be checked from a previous search, but without being effective any longer! To make sure, uncheck and recheck it.
Searching the image namespace means searching the image descriptions, i.e. the first parts of the image description pages.
Delay in updating the search index
For reasons of efficiency and priority, very recent changes are not always immediately taken into account in searches.
This article uses material from the Wikipedia article Wikipedia:Searching.