20240046119. VALUE CHAIN KNOWLEDGE DISCOVERY METHOD UNDER PERSONALIZED CUSTOMIZATION simplified abstract (GUANGZHOU UNIVERSITY)
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VALUE CHAIN KNOWLEDGE DISCOVERY METHOD UNDER PERSONALIZED CUSTOMIZATION
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VALUE CHAIN KNOWLEDGE DISCOVERY METHOD UNDER PERSONALIZED CUSTOMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240046119 titled 'VALUE CHAIN KNOWLEDGE DISCOVERY METHOD UNDER PERSONALIZED CUSTOMIZATION
Simplified Explanation
The patent application describes a method for discovering knowledge in a value chain under personalized customization. Here is a simplified explanation of the abstract:
- Defining a value topic and extracting a seed word that represents the value in a given domain text.
- Constructing a semantic topological space based on the seed word to represent the value.
- Expanding the seed word to create an initial set of words that anchor the topic.
- Updating the initial set of words to optimize the anchoring of the topic.
- Representing the value semantic text as a multi-cluster net structure using the optimized anchoring words as a constraint.
- Anchoring and constraining multiple cross-domain texts to construct a knowledge graph of the value chain.
Potential applications of this technology:
- Knowledge discovery and analysis in various industries and domains.
- Personalized customization of value chains in e-commerce or service industries.
- Semantic analysis and understanding of value-related texts for market research or competitive analysis.
Problems solved by this technology:
- Efficiently identifying and extracting valuable information from large amounts of text data.
- Personalizing and customizing value chains to meet individual needs and preferences.
- Creating a structured representation of value-related knowledge for analysis and decision-making.
Benefits of this technology:
- Improved efficiency in knowledge discovery and analysis.
- Enhanced personalization and customization of value chains.
- Better understanding of value-related information for informed decision-making.
- Facilitation of market research and competitive analysis.
Original Abstract Submitted
a value chain knowledge discovery method under personalized customization is provided. the method comprises the following steps: defining a value topic for a given domain text, and extracting a value anchoring seed word; constructing a value semantic topological space according to the value anchoring seed word; expanding the value anchoring seed word to obtain an initial topic anchoring word set; updating the initial topic anchoring word to obtain an optimized topic anchoring word set; obtaining a multi-cluster net structure representation of a value semantic text by taking the optimized topic anchoring word as a constraint; and anchoring and constraining a plurality of cross-domain texts to construct a value chain knowledge graph.
