Narrative Path Generation for Target Concept Extraction
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Solution Overview
Problem
Readers of literary works face challenges in navigating narrative universes as they often need to read sections that do not directly involve their target concept of interest, which can include irrelevant information that affects the target concept's storyline, making it difficult to follow the narrative efficiently.
Innovation Solution
A computer system generates a narrative path by creating a knowledge graph from the work of authorship, identifying target and related background narrative blocks, and ordering them in a sequence consistent with the original work, allowing readers to focus on the target concept while still accessing necessary background information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If readers read all narrative blocks in the work of authorship to ensure complete understanding of the target concept's storyline, then the completeness of narrative understanding is improved, but the reading time and efficiency deteriorate
Solution Approach 1:
The narrative blocks are segmented into target narrative blocks (containing the target concept) and non-target narrative blocks (not containing the target concept). This segmentation allows readers to selectively read only the target narrative blocks, reducing reading time while maintaining understanding of the target concept's storyline.
Solution Approach 2:
The system extracts and identifies target narrative blocks that contain the target concept from the complete work of authorship. By taking out only the relevant portions (target narrative blocks) and organizing them in sequence, the system enables readers to skip irrelevant sections while preserving narrative coherence.
2Productivity
If readers skip non-target narrative blocks to reduce reading time, then reading efficiency is improved, but the understanding of context influencing the target concept deteriorates
Solution Approach 1:
The system performs preliminary analysis to identify and extract target narrative blocks before the reader begins reading. By pre-processing the work of authorship to determine which blocks contain the target concept and arranging them in sequential order, the system ensures that readers receive contextually relevant information without having to read irrelevant sections.
3Loss of information
If the system provides a complete work of authorship to ensure all context is available, then the completeness of information is improved, but the complexity of navigation and identification of relevant content deteriorates
Solution Approach 1:
The system extracts target narrative blocks containing the target concept from the complete work of authorship and presents them in a simplified sequential format. This extraction eliminates the need for readers to navigate through irrelevant non-target narrative blocks, reducing navigation complexity while preserving all necessary contextual information about the target concept.
Data Source
AI summary
A computer system may obtain a first knowledge graph that was generated based on a work of authorship having a plurality of narrative blocks. The computer system may identify target narrative blocks, which are narrative blocks that include a target concept. The computer system may also identify related background narrative blocks. The computer system may receive a narrative path for the target concept. The narrative path may include the target narrative blocks and the related background narrative blocks ordered in a sequence that is consistent with their order in the work of authorship. The computer system may output the narrative path to an output device coupled with the computer system.