Ontology-based Process Support
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Summary
This paper describes a principled approach towards creating an IT-support environment for knowledge workers that is centred around the interdependencies between documents providing the background knowledge and business processes.
- Type
- article
- Published
- 1999-01-01
- Cited by
- 8
- References
- 14
- OpenAlex
- https://openalex.org/W47799626
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12008456
Keywords
Computer science, Ontology, Interdependence, Process (computing), Business process
References
- EULE2: a knowledge-based system for supporting office work
- Combining Structured Documents with High-Level Petri-Nets for Workflow Modeling in Internet-Based Commerce
- Memory in the Small: Combining Collective Memory and Task Support for a Scientific Community
- Logical foundations of object-oriented and frame-based languages
- Toward a Technology for Organizational Memories
- The Application of Petri Nets to Workflow Management
- A translation approach to portable ontology specifications
- Task Modeling with Reusable Problem-Solving Methods
- Ontologies as Conceptual Models for XML Documents
- Knowledge Management through Ontologies
- Ontobroker: Ontology Based Access to Distributed and Semi-Structured Information
- Extensible Markup Language (XML)
Cited by
- The AAAI-99 KM/CBR Workshop: Summary of Contributions
- Searching for experts on the Web: A review of contemporary expertise locator systems
- The role of artificial intelligence technologies in the implementation of People-Finder knowledge management systems
- An incremental approach to task-specific information delivery in SE processes
- A methodological framework for business-IT alignment
- A Lightweight Approach for Proactive, Task-Specific Information Delivery
- Knowledge Management Support for Distributed Agile Software Processes
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- Research On A Knowledge Management Paradigm Of Tightly Coupling The Business Process And Knowledge Management Process
- Contextual Retrieval in Knowledge Intensive Business Environments
- A Framework for Managing Enterprise Knowledge for Collaborative Decision Support