tovek presentation 3 by livio costantini

14
CE v5.8 23/04/22 1 Descriptor “Temelin” and relation with partner words

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Page 1: Tovek Presentation 3 by Livio Costantini

CE v5.8 14/04/23

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Descriptor “Temelin” and relation with partner words

Page 2: Tovek Presentation 3 by Livio Costantini

CE v5.8 14/04/23

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Harvester

Page 3: Tovek Presentation 3 by Livio Costantini

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Visualization of a “Descriptor” - Temelin - and the relation with Partner words

Page 4: Tovek Presentation 3 by Livio Costantini

CE v5.8 14/04/23

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Descriptors can be used as input query in concert with Tovek’s agent

Page 5: Tovek Presentation 3 by Livio Costantini

CE v5.8 14/04/23

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Descriptors can be used as input query in concert with InfoRating

Page 6: Tovek Presentation 3 by Livio Costantini

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a) The Index Manager is designed to be an administrator's tool to create and manipulate the collection as whole

b) Based on Verity’s technology

c) Remote and local collections

d) Different types of documents, E-mail , Microsoft Word, PDF, Etc.

e) Multi-languages collections

f) ODBC connection

Tovek Index Manager – Collection Builder

Page 7: Tovek Presentation 3 by Livio Costantini

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Connection ChartRelationships 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

Page 8: Tovek Presentation 3 by Livio Costantini

CE v5.8 14/04/23

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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

Page 9: Tovek Presentation 3 by Livio Costantini

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Summary Graph Visualisation of the results of the queries in combination with different fields (Source or Date )

(e.g. queries within weeks)

Page 10: Tovek Presentation 3 by Livio Costantini

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Query-By-Example

Page 11: Tovek Presentation 3 by Livio Costantini

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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

Page 12: Tovek Presentation 3 by Livio Costantini

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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

– OperatorsInterprets rules for the search engine

Page 13: Tovek Presentation 3 by Livio Costantini

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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

Page 14: Tovek Presentation 3 by Livio Costantini

CE v5.8 14/04/23

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Tovek Agent

Selecting Collections - Find documents that satisfy specific criteria e.g. Nuclear , test

Selecting collections Search Pane &

Search Elements

Result List Documents found

Total documents

Documents fields or Metadata