Visual Browsing and Editing of TM-based Learning Repositories - PowerPoint PPT Presentation

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Visual Browsing and Editing of TM-based Learning Repositories

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Title: Visual Browsing and Editing of TM-based Learning Repositories


1
Visual Browsing and Editing of TM-based Learning
Repositories
  • 1Boriana Ditcheva 2Darina Dicheva
  • 1Columbia University, NY
  • 2Winston-Salem State University, WS
  • USA

2
OR
  • The Long Way to a Usable TM Editing
    Interface Are we halfway through?
  • The Case of TM4L

3
Introduction
  • TMs provide a bridge between the domains of
    knowledge representation and information
    management and serve as the skeleton of
    ontology-aware applications, including digital
    learning repositories
  • The lack of convenient tools that allow authors
    to directly enter, modify, index, and query
    resources in ontology-aware digital repositories
    is the major obstacle to their deployment

4
TM4L
  • An environment for building, maintaining, and
    using ontology-aware e-learning repositories
  • a free tool http//compsci.wssu.edu/iis/nsdl/
  • interface in 8 languages
  • Users
  • authors, with limited/no background of ontologies
  • learners, seeking information support in their
    learning
  • Functionality
  • supports 3 interaction tasks editing, browsing
    and querying

5
The Problem
  • Ontology-aware collections are typically large
    and complex networks
  • ontology engineers lack domain expertise
  • domain expert (resource authors) lack ontology
    engineering skills to build them
  • Most of existing tools assume users experience
    in structuring and classifying resources (based
    on specific representation models)

6
Scenario 1 Boriana wants to create a Java TM
  • Boriana develops ontology-driven portals
  • ------------------------
  • Relationship
  • Supeclass-Subclass
  • Java Ontology
  • Expressions
  • Arithmetic Expressions
  • Logical Expressions
  • Relational Expressions
  • Java Data Types
  • Primitive Type
  • Reference Type
  • Class Type
  • Array Type

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8
TM4L Interface V. 1
  • TM4L Editor interface is a typical tree
    rendering, with the left pane showing the tree
    and the right pane showing the properties
    (facets) of each selected node. The nodes of the
    tree are topics and the edges denote the default
    binary superclass-subclass association
  • Topic attributes, resources, topic parents and
    relations are displayed in separate panels
  • Four additional relationship types are
    predefined part-whole, class-instance,
    similar-to and related-to
  • By offering this minimal set of five predefined
    relation types we support TM4L authors that
    experience difficulties in articulating and
    naming relationships

9
Scenario 2 Christo wants to create a Prolog TM
  • Prolog
  • 1 Presentation of Prolog
  • 1.1 What is a Prolog program
  • 1.1.1 The Program
  • 1.1.2 The Query
  • 2 Facts
  • 3 Variables and Unification
  • 4 Rules
  • 5 Backtracking
  • 6 Recursion
  • Christo teaches an AI course
  • ------------------------
  • Relationships
  • Whole-Part
  • Related

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11
Partonomy
  • Whole-Part relationship
  • Has an important explanatory role in e-learning
    context
  • Explaining what a learning unit is about often
    involves describing its parts and how are they
    composed
  • For example, in structuring learning material on
    Programming Languages in terms of its components,
    the learning units describing the syntax,
    semantics and pragmatics are part of the
    Programming Languages unit and not subclasses of
    it
  • By emphasizing the compositional structure, the
    partonomy is closer to the approach normally used
    by instructors/authors for representing learning
    content

12
TM4L Interface V. 2
  • The same five predefined relationship types
    superclass-subclass, part-whole, class-instance,
    similar-to and related-to.
  • However, three different views on the topic map
    are supported Taxonomy (superclass-subclass),
    Partonomy (part-whole) and Topic Typing
    (class-instance).
  • The user chooses which view to work in and can
    change it at any time
  • partonomy is the default
  • The nodes of the tree are topics and the edges
    denote the default binary part-of or the
    relation chosen by the user (superclass-subclass
    or class-instance)

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15
Scenario 3 Darina wants to create a Photos TM
  • Photos
  • Where
  • What kind of trip
  • When
  • Who on the photo
  • What on the photo
  • Additional info
  • Darina travels (a lot) and makes a lot of photos
  • ------------------------
  • Relationships
  • Trip-Photo
  • Whole-Part

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32
Ontology visualization
  • Visualization in the form of graphs helps a user
    comprehend and analyze information better
  • A number of graphical interfaces available
  • Protégé TGVizTab, Jamballaya, and OntoViz
  • In the area of Topic Maps Ontopias Vizigator,
    TMNav, ThinkGraph, the LIP6 visualization tool
  • Most of the GUIs offer only visualization,
    browsing, and search capabilities
  • Some interfaces also provide editing
    functionality, e.g. IsaViz , OntoViz, ThinkGraph
  • Usually no support for synchronized textual
    editing

33
TM4L Visual Editing Summary
  • Functionality
  • Create a new topic
  • Rename topic
  • Delete topic along with its occurrences and
    associations
  • Connect topics with an existing association
  • Connect topics with a new association (incl. asso
    type defining)
  • Delete association
  • Synchronized with the textual editing pane

34
Conclusion
  • Automatic topic map construction is not yet an
    alternative to the manual educational TM design
  • Automatic TM acquisition an expensive operation
    with limited reliability
  • Even if initially accurate and complete, TMs need
    modifications / adaptations reflecting their
    evolution
  • To foster the development of Topic Maps-based
    e-learning applications, authors need adequate
    authoring/editing environments
  • Use of a balanced cooperative modeling
    construction approach
  • TM4L proposes browsing and editing in one view
    authoring environment

35
Conclusion (contd)
  • TM4L supports three interaction tasks editing,
    browsing and querying
  • Undergoing work on querying
  • Tolog queries
  • Template-based queries
  • Relations queries
  • Resource queries
  • Context queries
  • Paper at the Semantic Web User Interaction
    workshop at ISWC 2006, Athens, USA, November 6th,
    2006
  • Much more research needed for designing elegant
    and efficient interfaces that provide multiple
    views on a collection and offer users different
    perspectives on a selected entity
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