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Taxonomy for search engines refers to classification methods that improve relevance in vertical search. Taxonomies of entities are tree structures whose nodes are labelled with entities likely to occur in a web search query. Searches use these trees to match keywords from a search query to keywords from answers (or snippets).
The search engine can organize the large number of Web pages in the search results, according to the potential categories of the issued query, for the convenience of Web users' navigation. Vertical search, compared to general search, focuses on specific domains and addresses the particular information needs of niche audiences and professions ...
Faceted search augments lexical search with a faceted navigation system, allowing users to narrow results by applying filters based on a faceted classification of the items. [1] It is a parametric search technique. [ 2 ]
This example of the Pareto principle (or 80–20 rule) allows search engines to employ optimization techniques such as index or database partitioning, caching and pre-fetching. In addition, studies have been conducted into linguistically-oriented attributes that can recognize if a web query is navigational, informational or transactional.
Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) [7] Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation ...
The easiest way to search on AOL Search is to simply type a word or a phrase that describes what you're looking for in the search box on search.aol.com, then click Search or press the Enter key. If you are looking for images or video information, try one of our specialized search features.
Some authors regard semantic search as a set of techniques for retrieving knowledge from richly structured data sources like ontologies and XML as found on the Semantic Web. [2] Such technologies enable the formal articulation of domain knowledge at a high level of expressiveness and could enable the user to specify their intent in more detail ...
Search engines discover, crawl, transform, and store information for retrieval and presentation in response to user queries. The search results are usually presented in a list and are commonly called hits. The most widely used type of search engine is a web search engine, which searches for information on the World Wide Web.