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Content archived on 2024-05-27

Active Knowledge Manager Using Dynamic Self-Modifying Knowledge Models

Objective

This project is a feasibility study for the original AcKnowNet proposal which proposes to develop and validate an innovative Active Knowledge Networks solution for the capture, integration, management and deployment of knowledge. The solution will use a consistent active mechanism for all phases and for all types of knowledge. The solution will support co-operation, workflow management and co-ordinated planning across extended/virtual organisations and associated value networks enabling pieces of knowledge arriving form different domains and expressed in different forms to interact with and enrich each other. The unique advantages of Active Knowledge Networks paradigm are inherent to its conceptual design. The topology of knowledge networks is explicit and self-contained, and yet extensible by aggregation with other networks. The Active Knowledge paradigm is a dynamic by nature with a fully realised and self-modifiable knowledge representation. As the knowledge evolves new connections are constructed on he fly just as old unused connection can die away.

OBJECTIVES
This project is a feasibility study for the AcKnowNet project. It's main goal is to reduce AcKnowNet's perceived risk level. The project objectives are o Demonstrate the feasibility of the technology by implementing a basic Active Knowledge Network model in a specific area and showing how it can be enriched by new knowledge retrieved from free-text documents by Semantic Networks technology. Evaluate the suitability, benefits and applicability of the technologies with regard to AcKnowNet.

DESCRIPTION OF WORK
The partners are considering earthquakes as the specific area for the test case:- DFKI familiarises itself with Active Knowledge Networks.- Tupai and CognIT examine alternatives for linking Active Knowledge models with CognIT's semantic networks.- Tupai gathers knowledge and documents and prepares the test case.- DFKI evaluates the suitability and readiness of the technology for supporting AcKnowNet, as well as AcKnowNet's applicability.- Tupai, with CognIT's support, implements network operaors for the preferred linking alternative. - Tupai implements a basic earthquakes Active Knowledge model. When the model and the linking operators are ready, Tupai and CognIT perform the full process: - The Active Knowledge model produces concepts or a semantic network. - The semantic net scans the documents and returns the findings to the model. - The model embeds the findings and produces a more complex semantic net to search the documents anew. And so on. The process will be validated by DFKI with Tupai's and CognIT's support. All three partners prepare the feasibility study final report and presentation.

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Coordinator

DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
EU contribution
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Address
ERWIN-SCHROEDINGER-STRASSE 57
67663 KAISERSLAUTERN
Germany

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Total cost

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Participants (2)

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