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Tovek Presentation 3 by Livio Costantini
 

Tovek Presentation 3 by Livio Costantini

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    Tovek Presentation 3 by Livio Costantini Tovek Presentation 3 by Livio Costantini Presentation Transcript

    • Descriptor “Temelin” and relation with partner words
    • Harvester
    • Visualization of a “Descriptor” - Temelin - and the relation with Partner words
    • Descriptors can be used as input query in concert with Tovek’s agent
    • Descriptors can be used as input query in concert with InfoRating
    • Tovek Index Manager – Collection Builder
      • The Index Manager is designed to be an administrator's tool to create and manipulate the collection as whole
      • Based on Verity’s technology
      • Remote and local collections
      • Different types of documents, E-mail , Microsoft Word, PDF, Etc.
      • Multi-languages collections
      • ODBC connection
    • Connection Chart Relationships between queries and documents, together with their scores Possibility to add comments to the queries and/or documents Switches for the main pane Query pane Main pane Documents pane
    • Cross Matrix Upper panel - Number of documents matching all the possible permutations of two queries Lower panel – Documents matching the selected element of the Cross Matrix
    • Summary Graph Visualisation of the results of the queries in combination with different fields (Source or Date ) (e.g. queries within weeks)
    • Query-By-Example
    • Extracting knowledge from subject area experts Subject Area Expert Knowledge Engineer The Knowledge Engineer extracts and organizes the knowledge of the Subject-Area Expert and expresses it in a hierarchic format which can be used in a “Topic Tree” environment. Design a Topic Tree - Knowledge Elicitation Process
    • Topic Tree – An Introduction
      • Topic trees mitigate the semantic ambiguity
          • Topic trees are predefined query in tree-like form that can be utilized for Searching, Data Mining and Taxonomy Classification
          • Topic Tree includes a definition of the relationship between keywords and provides rules for evaluating and scoring documents
          • Topic Trees Proprieties
            • Structure Establish the relationships between nodes
            • Weights Define the relative importance of words and nodes
            • Operators Interprets rules for the search engine
    • Topic Trees – A knowledge representation of “ Ferrari Concept ” Topic trees are predefined query in tree-like form that can be utilized for Searching, Mining and Taxonomy Classification
    • Tovek Agent Selecting Collections - Find documents that satisfy specific criteria e.g. Nuclear , test Documents fields or Metadata Selecting collections Documents found Total documents Result List Search Pane & Search Elements