updatesKnowledge Management Platforms
updatesKnowledge Management Platforms
Elevate Your Library and Government
With Our Customizable
- Large Knowledge Models -
The
9 complementary modules are designed to help manage your library and
government’s knowledge to solve problems and predict outcomes.
Start the processof creating your customized Large Knowledge Model - Knowledge
Management Platform.
“The
world henceforth will be run by synthsizers,
people able to put together the right information at the right time,
think critically about it and make important choices wisely.” E.O. Wilson
Nine sequential modules build your custom Large Knowledge
Model –
Knowledge Management Platform to help manage and solve your problems.
The Meta Data/Knowledge Controller Module contains bibliographic data (meta data) and is preloaded with 250,000 Best
Books in the Library of Congress bibliographic records in MARC format
This module serves as the database and foundation of the entire knowledge
model. It manages the flow of data, coordinates interactions between different
modules, and plays a crucial role in maintaining a high-level understanding of
the system's knowledge structure.
The Knowledge Abstracts Data Module is preloaded with
25 million abstracts, 2.5 million-chapter summaries, and 250,000 book summaries from the Best Books in the Library of Congress database
and has over 100 million bibliographic citations to books, journals, and other
resources. This module aids in decision-making processes by providing concise
representations of complex data, fostering efficient knowledge consumption
without losing critical details.
The
Local Knowledge Module is designed to incorporate region-specific
information, catering to localized needs and contexts. It integrates data
relevant to specific geographical areas, cultural nuances, and regional
distinctions. This module ensures that the knowledge model can adapt and
respond effectively to diverse user requirements, considering the
importance of local knowledge in various scenarios.
The Web Access Module serves as a crucial component within a platform, enabling users to interact
with and access the functionalities and resources provided by the whole
platform. This module is responsible for facilitating user engagement, data
exchange, and task execution via web browsers or web-enabled devices, while
ensuring security, usability, and accessibility standards are met.
The
Image & Video Module specializes in processing and understanding
visual content. Utilizing image recognition and video analysis
techniques, this module extracts meaningful information from images and
videos, expanding the model's ability to comprehend multimedia data. It
plays a vital role in scenarios where visual content is a significant
source of knowledge or when users need information from non-textual
sources.
The
Maps and GPS
Module provides spatial context to the knowledge model. It
integrates geographical data, mapping technologies, and GPS information,
enabling the system to understand and respond to queries related to locations,
routes, and spatial relationships. This module is essential for applications
requiring geospatial awareness, such as navigation systems and location-based
services.
The Advanced Learning Module focuses on enhancing the knowledge model's
learning capabilities over time. Using machine learning algorithms, this
module continuously improves its understanding of user interactions,
refines information retrieval, and adapts to changing patterns in data.
It enables the knowledge model to evolve and provide increasingly
accurate and relevant responses as it learns from user feedback and new
information.
The
Knowledge Management Platform Module serves as the overarching system for
organizing, storing, and retrieving information within the knowledge
model. It provides a structured environment for data storage, indexing,
and efficient retrieval. This platform ensures that the information from
diverse sources and modules is well-managed, facilitating seamless
integration and accessibility across the entire knowledge model.
Predictive Analytics Platform Module within the knowledge model employ advanced statistical and machine learning techniques to analyze historical data, identify patterns, and make predictions about future events or trends. These platforms leverage data from various modules to provide insights into potential outcomes, enabling proactive decision-making. They play a crucial role in anticipating user needs, trends, and optimizing system performance.
1. Scalability, 2. Fidelity, 3. Adaptability, 4. Richness, 5. Explainabilty