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The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Templates. To help find sources, Wikipedians have developed a number of source-finding templates which link to searches most likely to find references suitable for use in articles. The most well-known of these is { {find sources}}, an inline template which can be used almost anywhere.
Use Internet Archive scholar, CORE or another open-access search engine to look for an open version of the article. Using either the DOI, Google Scholar, or the journal's website, find out what databases index the article in full text. You can then see if either your local library or the Wikipedia Library provides access to these databases.
Source searching. [] The Wikipedia List of online newspaper archives – Very extensive and useful list of websites to find sources at. The Wikipedia List of free online resources page – provides many resources for source searching. The Wikipedia List of search engines article – provides a list of additional search engines that can be utilized.
Contents. Wikipedia:Journal sources. This page links to library searches, online databases, and other venues where you can locate a journal article by title, journal, or identifier (such as DOI or PMID ). It's a good idea to start with a search engine, as it will have the most comprehensive coverage. Besides, many of the online databases listed ...
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
Stemming is a way to match meaning "ambitiously", to get the numbers up, for possible semantic matching, such that run_shoe also matches running shoes. Stemming is a spelling algorithm only distantly reliant on any dictionary. [6] The algorithm attempts to find the same word, but in all its word endings.
Pressing ↵ Enter or clicking on the magnifying glass when the box is empty takes you directly to Wikipedia's search page. If your search matches a page name the search box may navigate instead of search. To get search results instead, prepend the tilde ~ character to the first word of the title.