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Internet of things (IoT) describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communication networks. The field of IoT encompasses electronics, communication, and computer science engineering. "Internet of…
The analysis highlights Characters, History, Politics and Applications as prominent areas in the source structure around Internet of things.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Internet of things shows recurring relationship patterns in the source. For example, Internet of things → Acharjya, Alena, Charlier, Consumer Internet, David, Designing Connected Products, Envisioned Applications, Geetha, Goodman, HarperCollins Leadership, Industrial Internet Application Development, Internet, ISBN, Jayant, Li, Native Cloud Services, Novel Advances, O'Reilly Media, Packt Publishing, Public Cloud Another extracted example is Internet of things → According, AmI, As, CPS, Industrial Internet Consortium, Industrial Internet Consortium's Vocabulary, Information Age, Internet, IoE, IoT, IoT One, IoT Terms Database, IoT-related, IT, Kevin Lonergan, Lonergan, M2M, March, New Term Alert, Operational. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
iot devices data internet systems things technology security smart also applications control connected network used sensors management communication privacy application
TTTA extracted 244 structured relationships around Internet of things. Examples in this analysis include UbiComp → instance of → as well as academic venues and the iPhone → instance of → manufacturers can have their home products and accessories controlled by an application in iOS devices. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| UbiComp | instance of | as well as academic venues | 0.80 | text |
| PerCom | instance of | as well as academic venues | 0.80 | text |
| produced the contemporary vision of the IoT | instance of | as well as academic venues | 0.80 | text |
| the iPhone | instance of | manufacturers can have their home products and accessories controlled by an application in iOS devices | 0.80 | text |
| the Apple Watch | instance of | manufacturers can have their home products and accessories controlled by an application in iOS devices | 0.80 | text |
| Siri | instance of | This could be a dedicated app or iOS native applications | 0.80 | text |
| falls or seizures | instance of | including sensors that monitor for medical emergencies | 0.80 | text |
| biosensors | instance of | This includes sensor-based solutions | 0.80 | text |
| wearables | instance of | This includes sensor-based solutions | 0.80 | text |
| connected health devices | instance of | This includes sensor-based solutions | 0.80 | text |
| and mobile apps to track customer behavior | instance of | This includes sensor-based solutions | 0.80 | text |
| LTE-M to transmit location data to owners via smartphone applications when unauthorized movement is detected.V2X communicationsIn vehicular communication systems | instance of | using low-power wide-area network protocols | 0.80 | text |
The concept neighborhoods around Internet of things bring nearby vocabulary together. In this analysis, examples include Things, Iot and Devices. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Internet of things, one of the stronger structural bridges in this analysis connects Internet of things with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Internet of things to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, History, Politics & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Internet of things · EN edition · Analysis: TopicsToTalkAbout