OLAP Multiplicity Representation via Segmented Extraction
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Solution Overview
Problem
OLAP systems face limitations in accurately representing and analyzing data with multiplicities, such as multiple predecessor documents for a single successor document, due to their requirement for single-valued attributes, which can lead to inaccurate analytics reporting.
Innovation Solution
A method and system for representing multiplicities in an OLAP system by configuring an extraction system to extract specific information indicating sub-object and predecessor relations between objects, allowing for the accurate representation and analysis of multiplicities through an extraction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If OLAP systems store data in a format requiring single-valued attributes, then storage efficiency and analytical processing are improved, but the ability to represent multiplicities (multiple predecessor documents for a single successor document) deteriorates
Solution Approach 1:
The patent segments the single successor document record into multiple records, each associated with one predecessor document. Instead of storing multiple predecessors in a single record (which would violate single-valued attribute constraints), the system creates separate records for each predecessor-successor relationship, allowing the OLAP system to maintain its single-valued attribute requirement while preserving multiplicity information.
Solution Approach 2:
The patent introduces an additional dimensional structure to represent multiplicities. By creating a many-to-many relationship structure through intermediate dimensions (predecessor document dimension and successor document dimension), the system能够在保持单值属性约束的同时表达多重性关系。
2Reliability
If OLAP systems enforce single-valued fields, then data integrity and query performance are improved, but accurate representation of document flow multiplicities deteriorates
Solution Approach 1:
The patent introduces intermediary dimension structures that mediate between predecessor documents and successor documents. These intermediary dimensions act as bridges, allowing the system to enforce single-valued attributes in each individual record while collectively representing many-to-many relationships across the dataset, thus maintaining both data integrity and multiplicity representation accuracy.
3Ease of operation
If traditional extraction processes are used without specific configuration for multiplicities, then extraction simplicity is maintained, but accuracy of predecessor relationship representation deteriorates
Solution Approach 1:
The patent applies preliminary action by configuring the extraction process beforehand to specifically identify and separate predecessor document relationships. The extraction system is pre-configured with rules to recognize document flow multiplicities and structure the extracted data accordingly, ensuring accurate representation from the outset while maintaining a relatively simple extraction process through automated rule-based configuration.
Data Source
AI summary
A method and system for representing and deducing a multiplicity of predecessor relationships between a plurality of first objects and a second object in an OLAP system comprises configuring an extraction system to extract information for a plurality of sub-objects of the first and second objects and using the extracted information to deduce predecessor relationships between the first objects and the second object.