Semantic Network Index Omission Rules for Scalability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current semantic network-based knowledge representation systems do not scale well to large sizes, requiring efficient inference strategies and memory management as they handle billions of nodes and links, leading to performance issues and memory exhaustion.
Innovation Solution
Implementing unidirectional links in semantic networks using automatic omission rules to reduce index size and complexity, prioritizing inference strategies, and clustering related objects for efficient memory use and garbage collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all links are added to the index of every node they reference, then complete reachability is achieved, but index size and memory consumption grow excessively large
Solution Approach 1:
The patent extracts only the necessary subset of links from the complete set of references. Instead of including all links that reference a node in its index, the system selectively includes only those links that are needed for reaching the node through valid inference paths, removing redundant links that would otherwise bloat the index structure
Solution Approach 2:
The patent segments the index into multiple components: the forward index (complete link list for reachability), the backward index (filtered link list for efficient querying), and the omission rules (criteria for filtering). This segmentation allows the system to maintain complete reachability information while providing an optimized subset for actual query operations
2Adaptability or versatility
If bidirectional links are used in semantic networks, then inference flexibility is maximized, but query complexity and processing time increase
Solution Approach 1:
The patent introduces dynamic directionality to links based on query context. The omission rules dynamically determine which direction of a link should be followed during inference, allowing the system to adapt the effective directionality of links based on the specific query being evaluated rather than maintaining fixed bidirectional connectivity
Solution Approach 2:
The patent performs preliminary filtering of links during the index construction phase using omission rules. By pre-computing and storing only the relevant links in the backward index based on anticipated query patterns and omission criteria, the system prepares the data structure in advance to enable faster query processing without sacrificing inference flexibility
3Quantity of substance
If indexes are kept small through link omission, then memory consumption is reduced, but some links become unreachable through index lookup
Solution Approach 1:
The patent introduces the omission rules as an intermediary mechanism between the forward and backward indexes. These rules act as a filter that selectively determines which links should be included in the backward index, mediating between the need for small memory footprint and the need for link reachability by allowing the system to compute reachability through the filtered subset rather than requiring all links to be explicitly stored
Data Source
AI summary
Some links are omitted from indexes associated with semantic network elements and clustering is influenced by such omissions.