Context Data Acquisition for Short Message Enrichment
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Solution Overview
Problem
Short message communication systems, such as SMS, EMS, and MMS, face limitations in conveying context data, leading to ambiguities and the need for additional queries to clarify message meaning due to payload constraints and lack of environmental context information.
Innovation Solution
A system and method for context-data acquisition and ranking, where context data is determined from queries, sourced from various providers, ranked based on specified parameters, and appended to short messages to enrich their meaning, utilizing sensors and network services to provide relevant context information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If short message payload is limited to 140 bytes, then message transmission efficiency is improved, but context information completeness deteriorates
Solution Approach 1:
The patent segments context information into multiple categories (location, time, device state, environmental data) that can be selectively included or excluded based on message requirements. This allows the system to transmit only relevant context data within payload limits while maintaining transmission efficiency.
Solution Approach 2:
The patent extracts only the most relevant context data elements needed to resolve ambiguities in short messages. By selectively extracting and including only essential context information, the system enriches message meaning without exceeding payload constraints.
2Reliability
If additional context data is included in short messages, then message clarity is improved, but payload capacity is exceeded
Solution Approach 1:
The patent applies local quality by including context data only where needed - specifically adding context information to messages that contain ambiguous references (e.g., location data when message says 'here', time data when message says 'now'). This selective enrichment maintains payload capacity while improving clarity where necessary.
Solution Approach 2:
The patent implements partial action by including only the minimum necessary context data to resolve message ambiguities, rather than including all available context information. This partial inclusion approach improves message clarity while staying within payload limits.
3Measurement precision
If context data is acquired from multiple sources, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces a context data acquisition system that acts as an intermediary between multiple data sources and the messaging system. This intermediary layer manages the complexity of acquiring and processing context data from sensors, network services, and device state, while presenting a simplified interface to the messaging application.
Solution Approach 2:
The patent implements a universal context data acquisition system that can gather multiple types of context information (location, time, device state, environmental data) through a single integrated mechanism. This multi-functional approach improves data accuracy without proportionally increasing system complexity.
Data Source
AI summary
Disclosed are a system, method, and article of manufacture of a context-data acquisition and ranking. A context-data type is determined from a query. At least one context-data source that provides the context-data type is identified. A request for a context data of the context-data type is generated from the at least one context data source. A received context data from the at least one context data source according a specified parameter may be ranked. The received context data may be provided to the device that generated a short message. The received context data may be provided to a recipient mobile device. The received context data may be associated with a component of a short message generated by a device that generated the query. The received context data may be appended to the short message.