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In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database.Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
A database of biomedical and life sciences literature with access to full-text research articles and citations. [56] Includes text-mining tools and links to external molecular and medical data sets. A partner in PMC International. [57] Free EMBL-EBI [58] FSTA – Food Science and Technology Abstracts: Food science, food technology, nutrition
Keyword searches give you a wide variety of results without having to perform an advanced search. You are able to search less and discover more! Type a desired word or phrase in the AOL Search field and hit the Enter key on your keyboard or Click the Search button. AOL Search will find the info you want.
It was a useful indexing method for technical manuals before computerized full text search became common. For example, a search query including all of the words in an example definition ("KWIC is an acronym for Key Word In Context, the most common format for concordance lines") and the Wikipedia slogan in English ("the free encyclopedia ...
Begin with a basic keyword search to get started. For example, try: • digital camera reviews • compare digital cameras • digital SLR reviews • compare cheap digital cameras. If you already have an idea of which cameras you'll be considering, you can also try a keyword search for a brand or a specific product line. For example, try:
In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [1] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.
Contextual search is a form of optimizing web-based search results based on context provided by the user and the computer being used to enter the query. [1] Contextual search services differ from current search engines based on traditional information retrieval that return lists of documents based on their relevance to the query.
Popular search engines focus on the full-text indexing of online, natural language documents. [1] Media types such as pictures, video, audio, [2] and graphics [3] are also searchable. Meta search engines reuse the indices of other services and do not store a local index whereas cache-based search engines permanently store the index along with ...