Knowledge Processing Task

A Knowledge Processing Task is a human-level intelligence task whose task input is knowledge.

• AKA: Knowledge Work, Knowledge-Intensive Task
• Context:
  • It can that involves significant application of Process Rules.
  • It can be performed by a Knowledge Processing System (such as a knowledge worker or an automated knowledge processing system).
  • It can (typically) involve a Complex Reading Task.
  • It can (typically) involve a Writing Task.
  • ...
• Example(s):
  • Software Programming.
  • Medical Diagnosis.
  • Legal Contract Analysis.
  • Deductive Inferencing;
  • Knowledge Management (e.g. Fensel 2001, Mullholland et al. 2000; Staab & Schnurr, 2000; Sure et al., 2000, Abecker et al. 1997);
  • Electronic Commerce (e.g. RosettaNet and Ontology.org)
  • NLP Tasks (Nirenburg et al., 2004, Maedche et al., 2001, Agirre et al., 1996, Beale et al., 1995);
  • simplify understanding and change, because the Domain Assumptions are explicitly stated.
  • enable Reuse, because the Domain Knowledge is separated from the Operational Knowledge.
  • to support Existential Queries, such as: "What concepts, relationships, and constraints exist?"
  • …
• Counter-Example(s):
  • an Unskilled Task.
• See: Knowledge, Skilled Task.

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References

2011

• http://en.wikipedia.org/wiki/Knowledge_worker#Knowledge_worker_roles
  • Knowledge workers bring benefits to organizations in a variety of important ways. These include:
    • analyzing data to establish relationships
    • assessing input in order to evaluate complex or conflicting priorities
    • identifying and understanding trends
    • making connections
    • understanding cause and effect.
    • ability to brainstorm, thinking broadly (divergent thinking)
    • ability to drill down, creating more focus (convergent thinking)
    • producing a new capability
    • creating or modifying a strategy
  • These knowledge worker contributions are in contrast with activities that they would typically not be asked to perform, including:
    • transaction processing
    • routine tasks
    • simple prioritization of work

2003

• (Maedche et al., 2003a) ⇒ Alexander Maedche, Boris Motik, Ljiljana Stojanovic, Rudi Studer, and Raphael Volz. (2003). “Ontologies for Enterprise Knowledge Management.” In: IEEE Intelligent Systems, 18(2). doi:10.1109/MIS.2003.1193654
  • QUOTE: Ontologies are a key technology for enabling semantics-driven knowledge processing, and it is widely accepted that the next generation of knowledge management system will rely on conceptual models in the form of ontologies.

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