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'''Search engine indexing''' is the collecting, [[parsing]], and storing of data to facilitate fast and accurate [[information retrieval]]. Index design incorporates interdisciplinary concepts from [[linguistics]], [[cognitive psychology]], mathematics, [[informatics]], and [[computer science]]. An alternate name for the process, in the context of [[search engine]]s designed to find [[web page]]s on the Internet, is ''[[web indexing]]''.
Popular search engines focus on the [[Full-text search|full-text]] indexing of online, [[Natural language processing|natural language]] documents.<ref>Clarke, C., Cormack, G.: Dynamic Inverted Indexes for a Distributed Full-Text Retrieval System. TechRep MT-95-01, University of Waterloo, February 1995.</ref> [[Media type]]s such as pictures, video,
[[Metasearch engine|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 the [[text corpus|corpus]]. Unlike full-text indices, partial-text services restrict the depth indexed to reduce index size. Larger services typically perform indexing at a predetermined time interval due to the required time and processing costs, while [[Intelligent agent|agent]]-based search engines index in [[Real time business intelligence|real time]].
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