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George Bradford

DSpace at Open Universiteit Nederland: Use of the Semantic Web to solve some basic prob... - 0 views

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    The use of the semantic web in education is explored. Two application areas for use are discussed: a) software agents that support teachers in performing their tasks in flexible online educational settings, and b) software agents that interpret the structure of distributed, self-organized, self-directed learning networks for lifelong learning. The resulting information is used by learners to help persons them perform their tasks in this context more effectively and efficiently.
George Bradford

What Is Service-Oriented Architecture - 0 views

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    Now we are able to define a Service Oriented Architecture (SOA). SOA is an architectural style whose goal is to achieve loose coupling among interacting software agents. A service is a unit of work done by a service provider to achieve desired end results for a service consumer. Both provider and consumer are roles played by software agents on behalf of their owners.
George Bradford

SemanticWeb - Semantics for Spies, Spooks and Secret Agents - 0 views

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    "The company is Israel-based MindCite, and its semantic-based software lets homeland security agencies and intelligence agencies collect, integrate, research, and analyze diverse types of information, from structured formats like databases and unstructured formats such as text, to solve crimes, crack cases and get alerts. The company's systems are installed in over a dozen countries, though not stateside yet. "
George Bradford

Semantic Networks - 0 views

    • George Bradford
       
      The reductionist approach: applied in this way it's to facilitate "findability" where otherwise information discovery and retrieval might be 'too' long. The dilemma is that once the machine finds potential useful material, we are left to decide on its pertinence or relevance.
  • The goal of the system is to make all marketing information and insights generated by the man/machine interaction available to the user, so that there is a convergence towards a "conservation of information".
    • George Bradford
       
      The reductionist approach: applied in this way it's to facilitate "findability" where otherwise information discovery and retrieval might be 'too' long. The dilemma is that once the machine finds potential useful material, we are left to decide on its pertinence or relevance.
  • The network in Figure 7 becomes very complex with a 100-fold increase in the amount of information.
    • George Bradford
       
      It's easy to extrapolate how 'real' materials will carry such levels of complexity that the semantic processing of it will quickly become impossible: the embedded structure is too great for current processing strategies, so work arounds are what everyone is doing. But we need now strategies and tools that improve upon the Google search model: we don't have the time to properly mine the material to ensure the quality of our work. We don't have the time to wait until computer technologies are 100's of times more powerful than at present.
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    This document concerns the management of the output of insight generators, the software agents utilized in the insight generation systems. The solution to managing these reports involves the automatic creation of a repository for all materials generated by various insight generators; this repository allows the user to navigate through this continually growing space of marketing reports, gaining new insights about the relationships between items of interest and adding new insights in the process. The goal of the system is to make all marketing information and insights generated by the man/machine interaction available to the user, so that there is a convergence towards a "conservation of information". To use a geometric metaphor, the goal is to make the user equidistant from all information at all times, as illustrated below.
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