Enterprise Information Artifact Generation for Searchable Metadata
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Solution Overview
Problem
Existing enterprise networks face challenges in efficiently locating and managing enterprise information items across multiple IT components, including identifying relevant items, determining authenticity, ownership, and sharing information items without overwhelming users with messages, and existing catalog applications are inflexible and require configuration.
Innovation Solution
An enterprise information item location and management system generates searchable artifacts from enterprise information items, using metadata rules to extract, convert, and summarize data into a unified format, enabling efficient access and sharing across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing catalog applications are used to manage enterprise information items, then information items can be organized and accessed, but the system becomes inflexible and requires complex configuration
Solution Approach 1:
The system automatically discovers, registers, and manages enterprise information items across multiple IT components without requiring manual configuration. The artifact generator autonomously extracts metadata, determines relationships, and maintains the catalog dynamically, eliminating the need for complex user configuration while adapting to various data formats and sources.
2Ease of operation
If enterprise information items are shared across multiple IT components, then information accessibility improves, but users become overwhelmed with messages
Solution Approach 1:
The system extracts only the essential metadata and relationships from enterprise information items to create simplified artifacts. By taking out only the necessary information (title, description, relationships, ownership) and presenting it through a unified search interface, the system maintains accessibility while filtering out redundant details that would overwhelm users with messages.
3Adaptability or versatility
If the system searches for enterprise information items with various data formats, then search capability improves, but processing time increases
Solution Approach 1:
The system performs preliminary extraction and normalization of metadata from various data formats during the artifact generation process. By pre-processing and standardizing the data structure before search operations, the system maintains versatility in handling different formats while reducing search processing time through optimized, pre-organized data structures.
4Reliability
If the system manages authenticity and ownership of information items, then information reliability improves, but system complexity increases
Solution Approach 1:
The system automatically determines and tracks ownership relationships by analyzing metadata and relationships within the enterprise information items. By continuously monitoring and updating ownership information through feedback loops, the system maintains reliability without requiring complex manual management, as the artifact generator autonomously tracks and enforces authenticity attributes.
Data Source
AI summary
A method includes receiving, by a processing device, a metadata rule template for extracting an enterprise information item generated by an enterprise application, causing, by the processing device, the enterprise information item to be extracted in accordance with the metadata rule template, generating, by the processing device, a searchable artifact representing the enterprise information item, wherein the searchable artifact comprises metadata representing a set of keywords, and storing, by the processing device, the searchable artifact within an artifact store.