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155:, and more specialized databases. Selection-based search systems also differ in how the results are presented and the quality of semantic categorization which is used. Some will open links to content in a new browser window. Others return content in floating information boxes which can be sized, shared, docked, etc.
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Usability can vary widely between selection-based search systems relying on a large number of variables. Even the most basic selection-based search systems will allow more of the web to be searched by the user in the context of their work than any one stand-alone search engine. On the other hand,
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A key challenge for selection-based search is that a long or nested list of categories quickly becomes unwieldy for the user. Therefore, it is incumbent upon the selection-based search system to both categorize the user-selected text and to identify those online services which most naturally apply
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In its simplest form, selection-based search enables users to launch a search query by selecting text on any application on their desktop. It is commonly believed that selection-based search lowers the user barrier to search and permits an incremental number of searches per user per day.
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Selection-based search systems also operate on the premise that users value information in context. They may save the user from having to juggle multiple applications, multiple web browsers or use multiple search engines separately.
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the process is sometimes said to be redundant if the system applies no intelligence to categorizing the selected text and matching it to an online service, and simply provides a link for the user to their preferred search engine(s).
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to view these results. Three characteristic features of a selection-based search system are that the user can invoke search using only their mouse from within the context of any application on their desktop (for example
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services, but is also used to describe the paradigm of categorizing a keyword and searching multiple data sources using only the mouse. The
National Information Standards Organization (
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to the selected text. For example, when the user selects an address, the system needs to identify the address as most suitable for an online mapping service such as
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The term selection-based search is frequently used to classify a set of search engine systems, including a desktop client and a series of
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or catalogue of the web on the users' desktop computer. Instead, they take a user's selected keyword or keywords, pass it to several
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Selection-based search systems create what is known as a semantic database of trained terms. They do not compile a physical
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81:, etc.), receive categorized suggestions which are based on the context of the user-selected text (or in some cases the
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or phrase contained within a document or webpage in any software application on their desktop computer using the mouse.
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No two selection-based search systems are alike. Some simply provide a list of links in a
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For cloud computing services used by selection-based search systems, see the
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feature. Others only allow the user to search their desktop files such as
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Traditional browser-based search systems require the user to launch a
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Professor Edward Tufte on the value of information in context
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234:Adler, Paul S.; Winograd, Terry (1992).
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260:Accessibility of information on the web
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238:. New York: Oxford University Press.
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464:Cross-language information retrieval
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210:Yahoo! Search selection-based search
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275:Mark Zachry and Charlotte Thralls,
41:system in which the user invokes a
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200:Accelerator in Internet Explorer 8
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281:Technical Communication Quarterly
277:An interview with Edward R. Tufte
137:Internet Explorer 8 Accelerators
611:Representational State Transfer
293:The Click Heard Round The World
443:Natural language search engine
258:Steve Lawrence; C. Lee Giles,
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616:Wide area information server
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124:manner based on a specific
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548:Robots exclusion standard
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313:Much Ado About Smart Tags
573:Web query classification
553:Distributed web crawling
663:Internet search engines
601:Search/Retrieve via URL
474:Search engine marketing
165:Internet Movie Database
494:Selection-based search
192:list of search engines
35:selection-based search
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398:Cross-language search
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205:Microsoft Smart Tags
484:Evaluation measures
428:Video search engine
215:Macintosh Spotlight
141:Macintosh Spotlight
499:Document retrieval
175:Quality of results
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524:Search aggregator
433:Enterprise search
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383:Metasearch engine
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221:References
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126:algorithm
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28:Selection
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24:Mutation
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116:online
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149:Yahoo!
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