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Designing vectorbased ontologies: Can technology empower open interpretation of cultural heritage

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Everyday information technology: Things come with category tags on them. ... Summa summarum: Essential aspects of the data provide a basis for an ontological ... – PowerPoint PPT presentation

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Title: Designing vectorbased ontologies: Can technology empower open interpretation of cultural heritage


1
Designing vector-based ontologies Can technology
empower open interpretation of cultural heritage?
  • Lily Diaz
  • Mauri Kaipainen
  • Media Laboratory
  • Unversity of Art and Design Hesinki

2
Context
  • Initial stage
  • Collaboration between design and cognitive
    science
  • Collaboration of two research groups
  • Initial exploration and definition of problem area

3
Conventional and native information handling
  • Everyday information technology Things come with
    category tags on them.
  • Native information-handling, neuro-inspired
    information handling
  • There is more to mental maps than metaphor
  • The brain projects rich informations from the
    body onto the cortex

4
Evidence for native information handling
  • Brain imaging techniques EEG, MEG, MRi
  • Distributed, focally local activity patterns
    Tonotopies, somatotopies
  • Artificial neural networks simulate adaptive
    neural mechanisms. Existence proof.
  • Statistical methods multidimensional scaling
  • Everyday experience Class memberships are fuzzy
    (How tall is a tall person?), class judgments
    vary depending on perspective.

5
Interpretation and projection
  • Class membership is perspective-dependent
  • All projections involve a transformation of data.
  • Refers to the process of structuring knowledge
    based on acquired knowledge.
  • Interpretation as projection

6
Projected constructs in archaeology
  • Colin Renfrew (1995 10) argues that the idea of
    the past is related to an individuals
    acquisition of knowledge about the world, and her
    ability to formulate projected constructs or
    models about its nature.

7
Brain-inspired design of information systems
  • Premise Brain and mind are fundamentally same
    (naturalist / physicalist standpoint)
  • Hypothesis Better cognitive ergonomy can be
    achieved using brain-like information-handling.
  • Implication Data is expressed in a form as
    elementary as possible to allow bottom-up,
    data-based emergence of similarity clusters
    (self-organization)

8
Art for the mind and the brain
  • Solso (1994)
  • Image construction operates according to the
    principles of human information processing.
  • The artist finds expressions, patterns, that
    stimulate the human neural system.
  • The artist creates art for the mind.
  • Art is an integration of perceptual skill and
    higher order cognition that engages past
    knowledge and interpretation.

9
Ontological spaces
  • Rethinking ontologies Elementary descriptive
    properties define an ontological space of an
    artefact
  • The artefacts position in the ontological space
    can be projected onto an interpretative layer in
    a number of ways.

10
Numeric vector-based ontologies, numeric
  • Artifact represented by a vector, with each of
    its N components,
  • corresponding to the degree of presence,
    relevance or probability of a specified
    elementary property,
  • expressible in terms of a value between 0 and 1
  • e.g. youngness .75, boldnes 0,
    lot-of-rain-in-winter .1
  • Drawback all N components have tobe fixed

11
Vector-based ontologies, Text-based method
  • Honkela et al. 1996
  • Artifact represented by the sum of vectors, each
    of which stands for an elementary property
  • Each property vector randomly assigned
  • With a frequent property, the correspondent
    vector is multiplied proportionally to frequency
    of occurrence
  • New properties can be introduced if necessary

12
Ethical consequence Open Interpretation approach
  • It need not be the task of the information
    designer to chew the world for the user. The
    designer should respect the freedom of the user
    to interpret the environment in her own way.
  • The designer should provide support for native
    information handling.

13
Design in the Age of Information
  • Report to the National Science Foundation,
    Krippendorf et. al. (1997)
  • Current trends seek to elaborate a discipline of
    design into a second-order science that attempts
    to find out how different groups or cultures
    possess particular ways of conceptualizing their
    practices and the world.

14
Cultural heritage
  • Collaborations between the arts, humanities and
    sciences represent a unique opportunity, not only
    to form new partnerships, but also to develop new
    products and new design approaches.
  • Items of culture heritage are complex objects
    synthesizing diverse conditions of knowledge
  • Conceptual framework
  • Material conditions

15
Objects of culture
  • Whether immaterial or physical, all objects are
    manufactured.
  • Wartofsky 1979, Cole 1986
  • Primary artefacts
  • Secondary artefacts
  • Tertiary artefacts

16
Case Relaciones Geográficas
  • rich record of living conditions in early
    colonial America
  • systematical
  • a fixed number of questions
  • historically simultaneous, mutually comparable
    data
  • good geographical coverage
  • 208 locations, enough data not to offer too
    obvious interpretations
  • primary sources

17
Primary analysis of a sample of questions
  • 15 first questions explored
  • How can data be translated into elementary
    properties (dimensions)?

18
Conclusion of the primary analysis
  • Descriptions of climate (3), landscape (4),
    indigeneous population (6), city location (10),
    and anthropological descriptions (14) can be
    broken into elementary properties general enough.

19
Conclusion of the primary analysis (continued)
  • Distances between cities (7. 8. 11. 12) translate
    into matrices that could be used to reconstruct
    the experienced geography/mental map
  • Questions relating to unique names or narratives
    (1, 9, 11, 13), or histories (2) do not define
    shared ontological space gt have to be described
    by other means.

20
Conclusion of the primary analysis (continued)
  • Ontological space description is only partly
    applicable
  • Summa summarum Essential aspects of the data
    provide a basis for an ontological space
    description and will allow for a rich freedom for
    open interpretation,
  • given a versatile enough toolset for accessing
    the data

21
Tools for Interfacing with ontological spaces
  • Background work (Kerminen et al. 2000, Kaipainen
    et al. 2001)
  • Visualization
  • Viewing options
  • Interpretative lens
  • Naming tools
  • Linking tools

22
Discussion
  • Already existing large base of culture heritage
    objects in electronic digital format.
  • This will be a continuing trend.
  • Need is for new methods that allow us to
    restructure the types, modes and roles of
    information ecology.

23
Discussion (continued)
  • It does not have to be the researchers or
    knowledge designers or engineers task to define
    the categories.
  • Can the vector-based method of defining
    ontological spaces of human artifacts provide an
    alternative to conventional ontologies?
  • Defending the right of the information user for
    her open interpretation.

24
Discussion (continued)
  • Neurophysiology may indicate ways in which
    information technology may be drawn closer to the
    native cognition,
  • relying on the holistic capabilities of the
    cognition to structure things in a spatial manner
  • Initial sample of different knowledge building
    approaches seem to support this proposition.
  • Archaeoloy
  • Art

25
Discussion (continued)
  • Relaciones Geográficas
  • Richness of data is broken into its elementary
    properties.
  • Ontological space allow for a number of different
    projections
  • Open interpretation approach is based on
    subject-given weights of different dimensions on
    the space.

26
Open questions
  • Virtues and problems of open approach are still
    to be explored.
  • Interface solutions are a challenging task that
    we have begun to work on it.
  • Can the user be constituted as an open ended
    category as well?

27
Open questions (continued)
  • Can such system be designed and implemented with
    low overhead costs?
  • Can user ergonomy be enhanced by neuro-inspired
    computation?
  • Is there a need for a soft technology that leaves
    decisions up to the user, or is it that we use
    computers exactly to get away from out own native
    softness?
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