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Enabling semantic mashup in internet of things

A semantic and mashup technology, applied in semantic analysis, network data indexing, network data retrieval, etc., can solve problems such as extracting unnecessary information

Pending Publication Date: 2019-11-12
CONVIDA WIRELESS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

will be referenced by semanticDescriptorLink The content of each in the resource is added to the content of the SPARQL request being executed on it (lazy evaluation, alternative: extract everything before execution, but may result in extracting unnecessary information)

Method used

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  • Enabling semantic mashup in internet of things
  • Enabling semantic mashup in internet of things
  • Enabling semantic mashup in internet of things

Examples

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Embodiment Construction

[0139] The usage is described below. These use cases help provide perspective that applications in IoT (eg, M2M) can be beneficially designed to obtain derived information or knowledge that can be obtained by mashing up raw sources. The following IoT (eg, M2M) use cases (eg, smart farming, smart parking, etc.) demonstrate that simply obtaining raw resources is not optimal. In the case of smart farm applications, such as Figure 15 As shown, a number of moisture sensors 1502 are deployed in a field to monitor the moisture content of the soil. Meanwhile, weather sensors 1504 (eg, thermometers, barometers, hygrometers, etc.) are deployed at weather stations in farmland areas. The amount of data generated by weather sensors 1504 is used by weather stations to predict weather (eg, rainy, windy, or sunny) in an area of ​​farmland. Therefore, the smart irrigation system for farmland will jointly analyze the moisture level of the farmland (produced by moisture sensors) and the w...

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Abstract

A new semantic mashup architecture with modular design can comprise separate Semantic Mashup Profiles (SMPs), Virtual Semantic Mashup Resources (VSMRs), and Semantic Mashup Results (SMRSs). This kindof modular design greatly improves the reusability of SMPs, VSMRs, and SMRSs. In addition, this new mashup architecture leverages semantics during each mashup process, which increases the interoperability. Moreover, this new architecture essentially realizes new Semantic Mashup Service (SMS) at the service layer and consequently improves system efficiency.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of U.S. Provisional Patent Application No. 62 / 401,461, entitled "Methods For Enabling Semantic Mashup In M2M / IOT Service Layer," filed September 29, 2016, the contents of which are hereby incorporated by reference. Background technique [0003] The Semantic Web is an extension of the Web through standards adopted by the World Wide Web Consortium (W3C). The standards promote common data formats and exchange protocols on the Web, most basically the Resource Description Framework (RDF). [0004] The Semantic Web involves publishing in languages ​​specifically designed for data: Resource Description Framework (RDF), Web Ontology Language (OWL), and Extensible Markup Language (XML). These techniques are combined to provide descriptions that supplement or replace the content of Web documents via a web of linked data. Thus, content can present itself as descriptive data stored in Web-access...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/951H04L29/08H04W4/70
CPCH04W4/70H04W4/14G06F16/951H04L67/565H04L67/60G06F40/30
Inventor 孙翔王重钢李旭李庆光D·N·希德李鸿堃
Owner CONVIDA WIRELESS LLC
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