Event Evolutionary Graphs for Time-Aware News Filtering
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Solution Overview
Problem
The process of seeking and filtering event-related information is cumbersome due to the exponential increase in news and lack of consideration for time factors in current searching and visualization methods, leading to incorrect information and inefficient user experience.
Innovation Solution
A method and device for presenting an event evolutionary graph that includes nodes representing events and directed edges showing relationships, with time information displayed for each node, allowing for the construction and updating of a reference event evolutionary graph using media content and similarity thresholds to ensure accurate and chronological event chains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If current searching and visualization methods are used, then the system can handle large amounts of news data, but the user experience deteriorates due to lack of time factor consideration and cumbersome information filtering
Solution Approach 1:
The patent segments the large amount of news data into discrete events with specific time attributes. Each event is represented as a node in an event evolutionary graph, allowing users to view and filter information in manageable chronological units rather than overwhelming continuous data streams.
Solution Approach 2:
The patent adds a time dimension to traditional event visualization by creating event evolutionary graphs that display events chronologically. This temporal dimension allows users to understand event sequences and relationships over time, transforming static information display into dynamic temporal visualization that improves comprehensibility.
2Device complexity
If time information is not considered in event visualization, then the system can simplify data processing, but the accuracy of event relationships deteriorates leading to incorrect information
Solution Approach 1:
The patent performs preliminary extraction and organization of time information from news data during the data processing stage. By pre-processing and structuring temporal attributes before visualization, the system maintains processing efficiency while ensuring accurate chronological representation in the event evolutionary graphs.
3Measurement precision
If manual filtering of event-related information is performed, then the user can obtain precise information, but the time consumption increases significantly
Solution Approach 1:
The patent implements automated event extraction and graph generation systems that perform information filtering and organization without manual user intervention. The system automatically processes news data, extracts relevant events with time attributes, and generates event evolutionary graphs, allowing users to obtain precise information instantly without manual filtering efforts.
Data Source
AI summary
According to embodiments of the present disclosure, a method and device for information presenting are provided. The method includes receiving a query for an event evolutionary graph, the query indicating at least a target event to be searched. The method further includes presenting, as a result of the query, a target event evolutionary graph comprising a plurality of nodes and at least one directed edge connecting the plurality of nodes, the plurality of nodes representing the target event and one or more events associated with the target event respectively, and the at least one directed edge representing an event relationship between events represented by connected nodes respectively. The method further includes presenting, for at least one node in the plurality of nodes, time information of at least one event represented by the at least one node, respectively.