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A Data Modeling Technique Used to Model Data Used in Task Analysis

IP.com Disclosure Number: IPCOM000122990D
Original Publication Date: 1998-Mar-01
Included in the Prior Art Database: 2005-Apr-04
Document File: 2 page(s) / 96K

Publishing Venue

IBM

Related People

Sluiman, H: AUTHOR

Abstract

A design of an extensible data model that supports the collection and analysis of tasks and task/work flow. The data model contains both forms of information and relates them in an extensible way. By closely associating these two sets of data, we can provide more optimal analysis and derive greater amounts of insight from what, to date, tend to be two distinct disciplines.

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This is the abbreviated version, containing approximately 52% of the total text.

A Data Modeling Technique Used to Model Data Used in Task Analysis

      A design of an extensible data model that supports the
collection and analysis of tasks and task/work flow.  The data model
contains both forms of information and relates them in an extensible
way.  By closely associating these two sets of data, we can provide
more optimal analysis and derive greater amounts of insight from
what, to date, tend to be two distinct disciplines.

      When information is collected for task analysis, it is at best
collected using two methodologies.  The first is task description,
where a task is described and analyzed on that information.  The
second is through work flow, where the flow and context of tasks are
collected and analyzed.  A separate set of disclosures describes how
to solve the data collection problem.

      However once the data is collected from the various paradigms,
it needs to be analyzed.  This introduces a new problem.  That is
that the information must be readable in multiple contexts, just as
it was collected.  This is a multi-dimensional space since multiple
contexts must be accessible at the same time.

      I have derived an abstract model of the data.  This model can
be used as an interface for collecting the data, as well as for
analyzing or retrieving the data.

      The basic concept is give each unit of information an identity
of it's own.  This is not just the basic task information such as
names etc. but the objects that are being viewed in context, and the
associations between the objects themselves.  In addition the context
itself is given an identity.  These concepts together can then be
used to filter the data from any object perspective.

      The objects that comprise the model are described in more
detail in other disclosures.  However the concept put forward in this
disclosure can be applied even if that list of objects in incomplete.

      In this case the base data objects are as follows:
  o  task
  o  tool
  o  unit of information
  Association objects that are identified are as follows:
  o  following task. a link between two tasks
  o  parallel task. a link between two tasks
  o  input information. a link between a task
      and a unit of information
  o  output information.  a link between a task
      and a unit of information
  o  uses tool.  a link between a tool and a task

This gives you task, tool and unit of information data an...