Document Summary Indexing with Collation Orders and Marker Values
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Solution Overview
Problem
Current solutions for managing document summary information, especially for large content sources like the World Wide Web, are inefficient in organizing and navigating vast amounts of documents, requiring users to manually scroll through numerous pages and lacking effective organizational options.
Innovation Solution
The solution involves obtaining attributes to define collation orders for document summary information, storing this information in a relational database with generated indexes for quick query access, and enabling hierarchical structure display and re-categorization, allowing for efficient navigation and display of large document sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search engines sort document summary information by presumed relevance, then the most relevant documents are displayed first, but users must manually scroll through many display pages to locate documents with lower relevance
Solution Approach 1:
The patent segments the large set of documents into multiple collations based on different attributes (e.g., date, author, subject). Each collation represents a distinct organizational view, allowing users to quickly navigate to specific segments of interest without scrolling through all documents sequentially.
Solution Approach 2:
The patent introduces multiple dimensional views of document organization beyond simple relevance sorting. By creating collations along different attribute dimensions (date, author, subject), the system transforms the single-dimensional relevance排序 into multi-dimensional navigation, enabling users to access documents from various organizational perspectives.
2Productivity
If search engines limit the number of documents displayed at a particular location, then fewer documents need to be processed per page, but additional information is lost and users must navigate more pages
Solution Approach 1:
The patent creates multiple collation views that serve different information needs simultaneously. Each collation maintains the full set of documents organized by different attributes, so users can access complete information through any view without losing data, while processing remains efficient due to indexed access.
Solution Approach 2:
The system creates multiple copies of the document set organized differently for each collation. Rather than limiting display to one view, the patent generates parallel organizational structures (collations) that can be independently accessed, preserving all information while maintaining efficient processing through selective querying.
3Ease of operation
If taxonomic division and clustering are used to organize documents, then navigation is improved, but the system becomes too inefficient to manage extremely large numbers of diverse documents
Solution Approach 1:
The patent pre-computes and stores collation structures for multiple attributes before user queries. By organizing documents into pre-defined collations based on common attributes (date, author, subject), the system eliminates the need for real-time computation during user interaction, maintaining both navigation efficiency and system performance.
Solution Approach 2:
The patent changes the organizational parameters from complex taxonomic hierarchies to simpler attribute-based collations. By using straightforward attributes like date, author, and subject as organization keys, the system achieves effective navigation without the computational overhead of complex taxonomic processing, thereby maintaining system performance.
Data Source
AI summary
Summary information for documents are stored as entries in a table in a relational database. Each entry includes a unique identifier, value(s) for a set of attributes and rendering information for the corresponding document. A collation order is obtained that defines a sort order for the documents based on the set of attributes. An index is generated based on the collation order and includes the rendering information for each document. In response to a rendering request or other query, a query that uses index-only access for the summary table can be used to obtain the rendering information. Further, a set of marker values can be included to provide efficient navigation of the index. Still further, additional functionality can be included to display the documents in a hierarchical structure. To this extent, the invention can automatically re-categorize data when the child locations of a hierarchical location exceed a specified number and/or link other relational data to a hierarchical location.