Leb08talksept17
Upcoming SlideShare
Loading in...5
×
 

Leb08talksept17

on

  • 550 views

Ontology-Dialogue Mashup for MATURE

Ontology-Dialogue Mashup for MATURE

Statistics

Views

Total Views
550
Views on SlideShare
550
Embed Views
0

Actions

Likes
1
Downloads
2
Comments
0

0 Embeds 0

No embeds

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Leb08talksept17 Leb08talksept17 Presentation Transcript

  • Ontologies, dialogue and knowledge maturing: Towards a mashup and design study A. Ravenscroft1, S. Braun2, J. Cook1, A. Schmidt2, J.Bimrose3, A. Brown3 & C. Bradley1 1. Learning Technology Research Institute, London Metropolitan University, UK 2 FZI Research Center for Information Technologies, Germany 3 The Institute for Employment Research, University of Warwick, UK http://mature-ip.eu
  • Overview of talk
    • Learning as knowledge maturing
    • Why this design study?
    • SOBOLEO and ontology maturing
    • Ontology maturing and dialogue
    • Dialogue games and InterLoc
    • Dialogue games for knowledge maturing (KM-DG)
    • A proof of concept scenario: Careers guidance
    • Discussion/key issues/way forward
  • Learning as knowledge maturing
    • MATURE: Large-scale European research project (FP 7, started April 2008)
    • “ Continuous social learning in knowledge networks”
    • Aim: Investigate and realise learning as knowledge maturing in the workplace
  • Learning as knowledge maturing
    • Key aims:
      • Develop:
        • Personal Learning and Maturing Environment (PLME)
        • Organisational Learning and Maturing Environment (OLME)
      • Investigate and develop:
        • The knowledge maturing model
        • Technological approaches to the continuous development of social software and knowledge networks.
  • Why this design study?
    • federated set of studies that are examining different aspects of the (large-scale) knowledge maturing enterprise
    • This Ontology-Dialogue Design Study aims to:
    • Explore and develop the relationship between knowledge maturing (SOBOLEO) and social learning (Dialogue Games/InterLoc)
      • … esp. Ontology maturing and collaborative learning dialogue
      • … both approaches established through papers etc.
    • Test technical integration issues related to the creation of suitable mashups (also ‘conceptual mashup’)
    • Explore the role of collaborative dialogue (generally) in the continuous development of knowledge networks
    • Validate against a concrete scenario demonstrating knowledge maturing
    • … so very much wip!
    • Also try out some evaluation methods
    • - Scenario based evaluation
    • - Other empirical methods (modelling, comparative studies etc.)
  • Ontology maturing and SOBOLEO
    • <add Simone’s / Andreas’s slides here>
  • Annotation and ontology editing
  • Ontology development and dialogue
    • Can the introduction of a specially designed dialogue:
      • Improve the way Ontologies are developed, refined, used and generally understood?
      • Support the phases of knowledge maturing?
      • Support collaborative and social learning around Ontology development and use?
      • … With this in mind we considered incorporating work into digital dialogue games and the InterLoc tool that realises them
  • Dialogue games (DGs) and InterLoc
    • Address pressing need to reconcile learners developing digital literacies and practices with the well-established requirements for reasoned and purposeful learning dialogues (critical and creative thinking)
    • InterLoc is an attractive, inclusive and pedagogically derived web-technology that is easily deployed and used to address relatively generic learning problems and opportunities.
    • DGs are serious social games:
      • realise engaging and structured rule-based interactions that are performed using pre-defined dialogue features (such as dialogue moves and a model of turn-taking)
      • specifically designed to foster thinking and learning in ways that are popular with users
  • Key features of Dialogue games (DGs)c
    • Structured and engaging rule-based interaction to scaffold thinking
    • and collaborative argumentation
    • (Currently) synchronous multimodal dialogues (4-6 players)
    • Roles: player, facilitator, learning manager
    • Pre-defined dialogue features that promote thinking
      • Moves: Inform, Question, Challenge , etc.
      • Sets of Openers to perform each move: “I think…”, “I disagree because…”, “My evidence is…” etc.
    • Content generated as an Active Document (or knowledge asset)
    • Dialogue Games can be edited – so can produce a Knowledge Maturing Dialogue Game (KM-DG)
  • Playing a dialogue game
  • Towards a mashup for knowledge maturing, SOBOLEO-InterLoc
      • Why?...means to populate, clarify and refine the Ontologies that are produced.
        • E.g. dimensions such as Appropriateness, Social Agreement and Formality could be negotiated, and therefore better understood through suitably designed dialogue games.
      • How? be achieved through replacing or supplementing the Chat component of SOBOLEO with a specially designed dialogue game, or number of games, for Ontology maturing
        • To stimulate users to have a dialogue with and about the developing Ontologies to specify, clarify and refine the semantic features or degrees of certainty about their classification.
          • Achieved through specifying the pre-defined Moves and Openers of the dialogue game in terms of the semantic relations and classifications that are implicit in SOBOLEO or provided through the dialogue of a user community.
  • Towards a mashup for knowledge maturing, SOBOLEO-InterLoc
    • Why? …essentially – both individual users and the community could have a dialogue with and about the ontology, to construct more understandable and meaningful representations.
      • Should catalyse knowledge maturing and social learning in relation to the domain and the users who are continuously developing their understanding of it.
    • Or, having a structured dialogue about the development and use of the ontology should actually help to ‘bring it to life’ and make it more useful
  • A proof of concept scenario: Careers guidance
    • How such a mashup would work in a hypothetical yet authentic user scenario
    • A Personal Advisor (P.A) working with a young female interested in becoming a plumber
      • In this situation the P.A. would need to perform a number of knowledge maturing processes to research and mediate Labour Market Information (LMI) in a meaningful way
    • How could they use this ‘engine’ of a (continuously developing) knowledge representation plus various dialogue facilities to support a range of activities associated with the development and application of knowledge for advising and problem solving in this situation?
  • A proof of concept scenario: Careers guidance
    • To summarise, through combining a flexible ontology development and learning dialogue technology, a range of knowledge maturing services could be provided that include:
      • 1. knowledge acquisition
      • 2. personal knowledge refinement
      • 3. collaborative knowledge refinement and negotiation of meaning
      • 4. informal learning
      • 5. collaborative learning
      • 6. support for advising and problem solving;
      • 7. reflection and meta-cognition about the domain and its application;
      • 8. re-representing domain knowledge for different audiences and purposes.
      • Or summarising all this, arguably, as hypothesise: having the potential continuously to develop a personal and community Ontology about LMI combined with the means to have a specialised and scaffolded dialogue about it, will potentially make the domain more understandable and the application of the ontology more powerful.
  • Discussion/key issues/way forward
    • … a prototype validation and evaluation of the knowledge maturing model, an orchestration of tools that realise it and how this might work in practice
    • Conceptual validation, of ‘conceptual mashup’ (this article)
    • Test the current mashup against other user scenarios and findings from the ethnographic studies
      • … Exemplary (what we can do) and Critical (what we can’t do)
    • Conduct technical integration (+ semantic wiki wrapper?)
    • Involve users
    • Harmonise with other design studies of knowledge maturing
      • … evaluation matrix
      • e.g. harmonise conceptual and technical emphasis from Ontology-Dialogue study with usability and acceptability emphasis in other design studies (e.g. semantic wiki)
      • … Front end mock-ups and back-end mashups: towards integrated methodologies for MATURE
  • Why would anyone use this mashup?
    • Why take time and commit to collective improvement in knowledge and understanding 
      • Participate in organisational understanding
      • Re-use developed knowledge structures
      • Better personal understanding through active participation and dialogue, and participate in and understand process of abstraction (cornerstone of much understanding and learning)
    • What if we don’t do this sort of thing?
      • Less empowered workers
      • Constant misunderstandings and miscommunications because no shared understanding of basic concepts
      • Would the credit crunch have happened if more key members of financial institutions had a better shared and negotiated understanding of core economic principles and the relations between them!?
  • Ethnographic reality!?
    • Innsbruck's work:
      • How accommodate different worker/user styles? (Sally, Igor and Aisha) - Optional participation vs. instructed
      • … being instructed to do something valuable to the organisation or community?
      • Do we accommodate different learning styles or aim to transform them into ‘better’ ones?
      • Accommodation more doable so more personalised tools or personalised interfaces to organisational tools
      • Individuation
      • Interaction
      • In-form-ation