Template-Based Index Synchronization for Diverse Document Structures
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Solution Overview
Problem
Conventional online search systems face challenges in efficiently searching across documents with different structures, requiring extensive user effort to synchronize data and propagate structural changes.
Innovation Solution
An online system maintains templates for each document type, updates them to match document structures, generates indices with a uniform structure, and synchronizes previously stored indices with the updated templates to ensure efficient searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional online systems store documents with different structures, then the system can accommodate diverse document types, but searching across different structures becomes difficult and requires extensive user effort to synchronize data
Solution Approach 1:
The patent introduces templates as an intermediary layer between diverse document structures and the search system. Templates define standardized field structures that act as mediators, allowing documents with different native structures to be uniformly indexed and searched without requiring manual synchronization of the underlying data structures.
Solution Approach 2:
The system dynamically changes the structural parameters of document representations by mapping them to template-defined fields. When a document is indexed, its structure is transformed to match the template parameters, enabling uniform search operations across documents that originally had different structures without requiring manual intervention.
2Ease of operation
If conventional systems synchronize data in similar structures, then searching becomes easier, but extensive user effort is required to propagate structural changes
Solution Approach 1:
The system performs self-service by automatically propagating template changes to all associated indices without requiring user intervention. When a template is updated, the system automatically reindexes affected documents according to the new template structure, eliminating the need for users to manually propagate structural changes across the system.
Solution Approach 2:
The system establishes templates in advance that define the desired structure for indexing. By pre-defining the target structure through templates before actual indexing occurs, the system eliminates the need for subsequent manual synchronization efforts, as all documents are mapped to the predetermined template structure from the outset.
3Manufacturing precision
If templates are updated to match new document structures, then indexing accuracy improves, but previously stored indices become outdated and require synchronization
Solution Approach 1:
The system implements feedback mechanisms that track template versions and automatically detect when indices are outdated. This feedback loop enables the system to identify synchronization needs and trigger automatic reindexing operations, reducing the complexity of managing updated templates versus existing indices by providing automated detection and response.
Solution Approach 2:
The template system is designed to be dynamic, allowing templates to evolve and adapt to new document structures over time. This dynamic nature enables seamless updates to templates without requiring complete system reconfiguration, as the system can progressively update indices to match new template versions while maintaining operational continuity.
Data Source
AI summary
A method and system generates an index for efficient processing of search queries. The system receives documents. Each document is of a document type. The system identifies a template configured for the document type. The template comprises fields arranged in a template structure. The system determines whether the template structure matches the document structure. If the template structure does not match the document structure, the system updates the template by matching the template structure to the document structure. The system generates an index from the updated template with the document data. The system stores the index in an index database. The system uses the index for efficient execution of search queries.