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George Bradford

Ontology (Computer Science) - definition in Encyclopedia of Database Systems - 0 views

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    Synonyms computational ontology, semantic data model, ontological engineering Definition In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application.
George Bradford

Web Ontology Language OWL / W3C Semantic Web Activity - 0 views

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    OWL Resource: definitions, specifications, etc.
George Bradford

Research Resources - The Semantic Web & Education | Hey Bradfords! - 0 views

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    Research Topic: The Semantic Web - Reference Pages for Higher Education The semantic web is a complex and exciting technology that will change how we work in the information age, and how we interact with the Internet. To support research activity within the field of Education, this site provides dynamic links to resources around the world. Gathered here, you will find: * a vision for educational application of learning made possible with semantic web technologies, * a general reference resource for terms and definitions, * technical resources within the field of the semantic web and semantic networking, * case studies of the semantic web applied in different fields and in education, and * publications and conferences focusing on the semantic web.
George Bradford

Semantic networks - 0 views

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    A semantic network is a directed graph consisting of nodes (also termed points or vertices) which represent concepts and edges (also termed lines or arcs) which represent semantic relations between the concepts. A kind of knowledge representation used, for example, in hypertext systems.
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.
George Bradford

Semantic Networks - 0 views

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    John F. Sowa - This is a revised and extended version of an article that was originally written for the Encyclopedia of Artificial Intelligence, edited by Stuart C. Shapiro, Wiley, 1987, second edition, 1992. A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. What is common to all semantic networks is a declarative graphic representation that can be used either to represent knowledge or to support automated systems for reasoning about knowledge. Some versions are highly informal, but other versions are formally defined systems of logic. Following are six of the most common kinds of semantic networks, each of which is discussed in detail in one section of this article.
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

What is an Ontology? - 0 views

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    Tom Gruber at Stanford University defines and conceptualizes ontologies as they are applied to the semantic web.
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