Dynamic Datatype Access Control for Distributed Knowledge Sharing
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Solution Overview
Problem
The computer-based services industry faces challenges in sharing and managing knowledge due to geographical distribution of experts, with existing knowledge management technologies struggling to efficiently capture, share, and maintain both structured and unstructured knowledge across diverse information systems.
Innovation Solution
A distributed data-centric system that utilizes a publish and subscribe pattern to capture, share, and manage intellectual capital, allowing structured and unstructured knowledge to be shared asynchronously over the Internet, with an evolving ontology and implicit storage based on relevance, enabling seamless access and evolution of knowledge types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If knowledge is maintained by individual experts distributed globally, then expertise and knowledge quality are preserved, but knowledge sharing and access become difficult
Solution Approach 1:
The system segments knowledge into structured components (datatypes with schemas, metadata, relationships) that can be independently captured, validated, and shared. Experts contribute knowledge that is broken down into reusable datatypes rather than maintaining monolithic knowledge bases, enabling both quality preservation through expert input and easy sharing through standardized components.
Solution Approach 2:
The patent creates universal datatypes that serve multiple functions and can be shared across different experts and applications. A single datatype definition can be subscribed to by multiple users, allowing one expert's knowledge structure to serve universal purposes across the distributed team, improving both sharing ease and knowledge reuse.
2Adaptability or versatility
If multiple information systems and analysis tools are used by geographically diverse experts, then specialized capabilities are maintained, but knowledge sharing becomes very difficult
Solution Approach 1:
The system introduces an intermediary layer of standardized datatypes and schemas that mediate between diverse information systems and analysis tools. Experts can use their preferred tools to create and consume datatypes, while the standardized interface handles the integration complexity, allowing specialized capabilities to coexist without direct system-to-system complexity.
Solution Approach 2:
The patent allows datatype parameters and schemas to be customized and evolved over time to accommodate different specialized needs. The datatype structure can be modified, extended, and adapted to fit various analysis tools and expert requirements while maintaining the core sharing mechanism, thus preserving versatility without increasing integration complexity.
3Productivity
If services organizations increase the number of people to service technology, then customer coverage and support capacity improve, but labor intensity and process complexity increase
Solution Approach 1:
The system enables knowledge and datatypes to be copied and reused across multiple support personnel and locations. Instead of each expert independently managing their own knowledge, a single datatype can be replicated and subscribed to by numerous support staff, increasing support capacity while reducing the complexity of managing individual knowledge bases for each person.
4Productivity
If knowledge is captured in structured formats, then knowledge can be processed and shared efficiently, but flexibility and adaptability of knowledge representation decrease
Solution Approach 1:
The datatype schemas in the system are designed to be dynamic and evolvable. While datatypes provide structured formats for efficient processing, the schemas can be modified, extended, and adapted over time to accommodate new knowledge representations and requirements. This dynamic nature allows the system to maintain processing efficiency through structure while adapting flexibility when needed.
Data Source
AI summary
Methods, systems, and articles of manufacture consistent with the present invention provide for access control over dynamic intellectual capital content. A subscriber subscribes to a datatype, the datatype having a predetermined runtime property that restricts use of the datatype. The datatype is associated with a data referenced in the datatype and maintained separate from the datatype. The datatype is received responsive to the subscription. A determination is made whether the runtime properties are valid. If the runtime properties are valid, a determination is made whether a user of the subscriber has permission to access the data referenced in the datatype. If the user has permission to access the data, the user is provided access to the data.