IoT Data Tagging via Web Message Relativity Detection
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Solution Overview
Problem
The Internet of Things (IoT) faces challenges in searching for sensors that recorded specific events due to the vast number of objects (50 to 100 trillion) and the lack of metadata for original data such as images, videos, and audio, making it difficult for computers to understand and for humans to search or mine related information effectively.
Innovation Solution
A method and system that perform relativity detection on Web messages to identify related events, acquire address information, determine adjacent IoT devices, and tag original data with partial content of Web messages as metadata to facilitate semantic descriptions and improve search functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If deep processing techniques such as computing vision technologies are used to extract semantic annotations from original data, then the semantic understanding of data is improved, but the computational cost becomes unaffordable due to the large volume of things in the IoT
Solution Approach 1:
The patent introduces Web messages as an intermediary resource to bridge the gap between original IoT data and semantic meaning. Instead of directly processing original data to extract semantics, the system uses Web messages (which already contain human-generated semantic information) as a mediator to annotate and describe the original data, thereby avoiding the high computational cost of deep processing while still achieving semantic understanding.
2Ease of operation
If metadata is added to describe the semantics of original data, then the searchability and understanding of data is improved, but the complexity of data processing and storage increases
Solution Approach 1:
The patent leverages the self-service capability of Web messages, which are already structured and contain inherent semantic information generated by users. By directly utilizing these pre-processed Web messages as metadata for original IoT data, the system avoids the complexity of creating and maintaining metadata through automated processing, while still achieving improved searchability and data understanding.
3Adaptability or versatility
If models are built to handle various applications for querying and processing original data, then the adaptability to different applications is improved, but the system complexity and implementation difficulty increase
Solution Approach 1:
The patent creates a universal tagging system that uses Web messages to annotate original IoT data in a unified manner. This universal approach allows the same tagging mechanism to serve multiple applications (search, mining, association, etc.) without requiring separate models for each application, thereby achieving high adaptability while keeping the system simple and implementable.
Data Source
AI summary
A method and system for tagging original data generated by things in the Internet of Things (IoT). The method includes: performing relativity detection on acquired Web messages to obtain Web messages related to various events; acquiring address information contained in the related Web messages; determining adjacent things for various events based on the acquired address information; and tagging original data generated by the adjacent things determined using at least partial content of the related Web messages as metadata. The system includes modules for carrying out the above method.