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・ 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
・ Semantic spectrum
・ Semantic structure analysis
・ Semantic targeting
・ Semantic technology
・ Semantic Technology Institute International
・ Semantic theory of truth
・ Semantic translation
・ Semantic unification
・ Semantic URL


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Semantic Sensor Web Advanced : ウィキペディア英語版
Semantic Sensor Web Advanced

Semantic Sensor Web technologies enable meaningful information representation of acquired data by means of standardizing the description of sensor data and enhancement of data format for the goal of creating a web centric information infrastructure where sensor data can be collected, visualized, manipulated, retrieved, and shared in a web environment. This ability enables the SSW community to have access to structured data where they can build applications to better analyze data. Overall, standardization is key to excellence in new technology, and SSW community is enabled for SSW standardization movement. Moreover, meaningful annotation is critical to interpretation of data, since it provides the structural information required to understand platforms. Meaningful semantic annotation is possible by standardizing SSW formats. There are various languages utilized for annotating sensor data; RDFa, XLink, and SAWSDL (Semantic Annotations for WSDL and XML Schema) are common languages utilized for annotating sensor data.
==Major advancements in Semantic Sensor Web field==
There has been many advancements in Semantic Sensor Web Technologies (SSW), and as a result, SSW is utilized in various fields such as 1) Agriculture 2) Catastrophe Management 3) Building Management 4) Laboratory Management, and more.

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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