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2. List of academic databases and search engines - Wikipedia

   en.wikipedia.org/wiki/List_of_academic_databases...

   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.

3. Google Scholar - Wikipedia

   en.wikipedia.org/wiki/Google_Scholar

   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 ...

4. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...

5. List of online databases - Wikipedia

   en.wikipedia.org/wiki/List_of_online_databases

   Interment.net. Internet Archive. Internet Broadway Database. Internet Movie Cars Database. Internet Movie Firearms Database. Internet Off-Broadway Database. Internet Public Library. Internet Speculative Fiction Database. Internet Theatre Database.

6. Category:Scholarly search services - Wikipedia

   en.wikipedia.org/wiki/Category:Scholarly_search...

   Category. : Scholarly search services. See also the categories Aggregation-based digital libraries and Full-text scholarly online databases.

7. Web of Science - Wikipedia

   en.wikipedia.org/wiki/Web_of_Science

   Web of Science "is a unifying research tool which enables the user to acquire, analyze, and disseminate database information in a timely manner". This is accomplished because of the creation of a common vocabulary, called ontology, for varied search terms and varied data. Moreover, search terms generate related information across categories.