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Semantic Scholar is free to use and unlike similar search engines (i.e. Google Scholar) does not search for material that is behind a paywall. [5] [ citation needed ] One study compared the index scope of Semantic Scholar to Google Scholar, and found that for the papers cited by secondary studies in computer science, the two indices had ...
List of academic databases and search engines. This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ ...
Semantic search. Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. [1] Semantic search seeks to improve search accuracy by understanding the searcher's intent and the ...
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 ...
Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02. LGPL v2 : Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1: Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 : Tropes Zoom: Windows: Semantic Search Engine (no longer available)
Advanced source searching can provide more comprehensive and accurate search results compared to simpler standard searches, which can be useful for the assessment and determination of topic notability. Customizing searches to narrow results, using other search engines besides Google, and the general customization of search parameters can often ...
Documents that are not indexed by search engines create what is known as the deep Web, or invisible Web. Google Scholar is one example of many projects trying to address this, by indexing electronic documents that search engines ignore. And the metasearch approach, like the underlying search engine technology, only works with information ...
Time period. Development. 1996–1997. Development of basic technology, launch of search engine, attachments like gmail and classroom come later. 2000. Internationalization: search is launched in 13 new languages. 2001–2004. Google launches many new search categories, such as Google News, Google Books, and Google Scholar . 2002 onward.