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・ Semantic matching
・ Semantic MediaWiki
・ Semantic memory
・ Semantic network
・ Semantic neural network
・ Semantic overload
・ Semantic P2P networks
・ Semantic parameterization
・ Semantic phonology
・ Semantic primes
・ Semantic property
・ Semantic prosody
・ Semantic publishing
・ Semantic query
・ Semantic reasoner
Semantic Research
・ Semantic resolution tree
・ Semantic role labeling
・ Semantic satiation
・ Semantic Saturation
・ Semantic Scholar
・ Semantic search
・ Semantic security
・ Semantic Sensor Web
・ Semantic Sensor Web Advanced
・ Semantic service-oriented architecture
・ Semantic similarity
・ Semantic similarity network
・ Semantic social network
・ Semantic Spaces


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Semantic Research : ウィキペディア英語版
Semantic Research

Semantic Research, Inc. (commonly referred to as Semantic Research or simply Semantic, and not to be confused with Symantec), incorporated in 2001, is a privately held software company headquartered in San Diego, California. The company manufactures and sells software for creating, viewing, storing and sharing of knowledge structures.〔(【引用サイトリンク】url= http://www.freshnews.com/news/computers-internet/article_13916.html?Semantic+Research )
==Software platform==
The company's software platform, known as Semantica, allows users to perform intelligence analysis, data fusion and visualization of all kinds of information, be it structured, unstructured, temporal, or geospatial. Semantic also provides custom software development and provides applied computer science research〔(【引用サイトリンク】url= http://www.semanticresearch.com/downloads/whitepapers/sol_whitepaper.pdf )〕 for its customers. The company began with software originally developed under the name SemNet.〔(【引用サイトリンク】url= http://eric.ed.gov/ERICWebPortal/custom/portlets/recordDetails/detailmini.jsp?_nfpb=true&_&ERICExtSearch_SearchValue_0=EJ463175&ERICExtSearch_SearchType_0=eric_accno&accno=EJ463175 )〕〔(【引用サイトリンク】url= http://naturalsciences.sdsu.edu/tutorial.html )
In Semantica, a knowledge structure is an interrelated collection of facts or knowledge about a particular topic. It is composed of entities linked to other entities by labeled bidirectional relationships. An entity may be related to any number of other entities via any number of relationships. In this manner a knowledge structure takes the form of a semantic network. Unstructured documents, such as word processing documents or JPG images, may be incorporated into this structure, just as a file may be attached to an email message; these become special nodes in the network known as attachments.
Knowledge structures may be stored in a file known as a Semantica Archive (or SAR) for single-user access, or they may be stored in a server repository for high-volume concurrent access known as a TripletSphere.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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