Administrativa
Introduction
Knowledge Management and Organizational Learning are emerging paradigms in industry
Knowledge Management can be supported by exchange of information
Basically, research on Organizational Memory can concentrate on knowledge explication, or on knowledge capitalization
Practical solutions require different degrees of formalization
The KnowMore approach
One solution approach: Knowledge Management oriented on Business Process Management
Knowledge Management adds a new quality to Business Process Management
Business Process Models represent control flow of business activities
An ideal Knowledge Management system would answer manifold questions related to a given knowledge-intensive activity
OM technology has to face a number of demanding challenges
Enabling technologies cover the whole cycle of capturing, storage, and utilization of corporate knowledge
KnowMore supports knowledge-intensive tasks (KITs) by active delivery of context-specific information
Context-specific information supports the user in knowledge-intensive activities
Changes in the process state result in refined support
How to realize such functionalities?
Technical realization (I)
A detailed description of Information Needs extends the process model
Modeling of knowledge-intensive tasks is integrated with business process modeling (BPM)
Preconditions and postprocessing rules of information needs allow to formulate information-seeking strategies
Technical realization (II)
The prototype system illustrates the key players in a workflow scenario (which is an extension to the Workflow Mgt Coalition?s scenario)
The KIT model is processed by the extended worklist handler
Technical realization (III)
The information agent uses formal knowledge to retrieve the information relevant for the task at hand
Post-processing governs the presentation of supporting information
Play-together of formal inferences and background knowledge in the information agent
Purchasing a graphics card example: Find competent employees
Intelligent conceptual information retrieval: search heuristics describe how to navigate in the ontologies
Heuristics specifications are a user-friendly front-end to the KnowMore representation formalism in KIT specifications
Technical realization (IV)
Information retrieval maps information need descriptions to knowledge item descriptions
Ontologies organize information models and background knowledge
Simplified example of the three information modeling ontologies
Knowledge representation requirements in the area of OM conceptual information retrieval
The KnowMore knowledge representation language: OCRA (object-centered relational algebra)
The OCRA is strictly typed
OCRA: Annotations allow complex semantic nets to be modeled
OCRA: Objects have a textual representation
Technical realization (V)
KnowMore fits in the WfMC general workflow system architecture
PPT-Folie
Technical Realization (VI)
KnowMore envisions a comprehensive toolbox to create the Organizational Memory
(a) The knowledge item description relates OM content to concepts from the domain ontology
(b) The TCW Tool for learning text classification has been integrated to automatically create meta information for text documents in the OM
The TCW automatically suggests to the user ontological categories as potential indices for text documents
(c) Ontology development: Our approach for acquisition + maintenance is based on automatic thesaurus generation
Documents are a plentiful source of information available in any application domain
The thesaurus generation tool TRex was extended and enhanced
An integrated Ontology/Thesaurus is constructed or updated semi-automatically from the term associations generated by TRex
A first evaluation shows the utility of automatic thesaurus generation techniques for building and maintaining Organizational Memories
The KnowMore ontology editor supports the cumbersome task of ontology construction & maintenance
The user is responsible for the final decision about concepts and link types
The KnowMore research mainly investigated three research areas
The KnowMore system prototype illustrates key ideas of a three-layered OM approach
KnowMore results spawned several application projects
An OM technology requires further research on all three levels of the KnowMore conceptual architecture
The show goes on ...
E-Mail: aabecker@dfki.uni-kl.de
Homepage: http://www.dfki.uni-kl.de/~aabecker/
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