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The domain specific language (DSL) customization engine allows for adapting MagicDraw to a specific profile and modeling domain, thus allowing the customization of multiple GUIs, model initialization, adding semantic rules, and creating one's own specification dialogs and smart manipulators.
The following table is split into two groups based on whether it has a graphical visual interface or not. The latter requires a separate program to provide that feature, such as Qucs-S, [1] Oregano, [2] or a schematic design application that supports external simulators, such as KiCad or gEDA.
Noise may distort the message along the way. The receiver then decodes the message and gives some form of feedback. [1] Models of communication simplify or represent the process of communication. Most communication models try to describe both verbal and non-verbal communication and often understand it as an exchange of messages. Their function ...
The semantic link network was systematically studied as a semantic social networking method. Its basic model consists of semantic nodes, semantic links between nodes, and a semantic space that defines the semantics of nodes and links and reasoning rules on semantic links. The systematic theory and model was published in 2004. [20]
Capella was created by Thales in 2007, and has been under continuous development and evolution since then. The objective is to contribute to the transformation of engineering, providing an engineering environment which approach is based on models rather than focused on documents, piloted by a process, and offering, by construction, ways to ensure effective co-engineering.
The separation of drawing/semantic data entry and output rendering makes the program both complex to learn to use, but also capable of dealing with cave systems still being explored, where new finds and surveys need the drawing to morph to fit. It also allows a survey to be rendered with different national cave-symbol sets.
Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology. [1] [2] Its original product is a link analysis software application called Semantica Pro, and it introduced a web-based analytical environment called the Cortex Enterprise Intelligence Platform, or ...
Never-Ending Language Learning system (NELL) is a semantic machine learning system that as of 2010 was being developed by a research team at Carnegie Mellon University, and supported by grants from DARPA, Google, NSF, and CNPq with portions of the system running on a supercomputing cluster provided by Yahoo!. [1]