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03.12.2008 18:47
Knowledge and ontologies
IFI7101 Introduction and theoretical foundations of new media 30.09.2008
Wiki!?

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Shared tags on self-organizing anf network theories. Is this useful? How can you use this?

KNOWLEGDE

• Identify aspects of cognition and perception that are particularly relevant to knowledge environments

From Information to Knowledge

Information is given, but knowledge is constructed!
Sequence: Data-Information-Knowledge-Wisdom...?
• IMKE is not only about information, but knowledge (unlike ICT)
Different knowledge can be constructed of same information!
Cognition
Cognitive science is a cross disciplinary science bridging several disciplines
Information-Knowledge involves transformation:
• confusion - understanding
• neutral - interpreted
• common - private
• bottom - up

Consciousness

What's consciousness?
Are animals conscious?
Are machines conscious?
• Is there such thing as consiousness? Dennett
Homunculus
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Homunculus, the little man within you http://faculty.etsu.edu
(Scaruffi 2001, A simple theory of consciousness)
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Can consciousness be explained in terms of computational states? http://www.orianit.edu-negev.gov.il
(Searle 1992)

Memory

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Extension of memory? http://www.bath.ac.uk
Memory has a central role in making sense of the world.
• Sensory memory
Short time memory: E.g., Miller's Magical Number of Seven (1956)
Long time memory: Memories of childhood

Long time memory

• Memories are constructed from earlier memories
• Memory as a process, long-term changes
Context dependence of memory
Seven Sins of Memory (preview)

Emotions and consciousness

Damasio's theory of consciousness (excerpts)
• Feeling, emotion, affect are part of cognition (Damasio)

Holism

Mind, body and environment are linked together in many ways and cannot be separated.
Feeling and emotion tend to blend with rationality and logic!
Holism
Embodied mind
Situated mind

Mind as motion

Mind as self-organization:
Mind as emergent patterns
Mind as motion

Gibson's affordance theory

• Gibson's affordance theory
Article: Gibson's Ecological approach applied to gaming

Neisser's perceptual cycle

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Neisser's perceptual cycle: Exploration samples available information in the Object, and the resulting perception modifies the schena, which directs exploration ... iteratively
Mauri: Offers an interpretative framework for online communities
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Community members share an ontology, which each of them keeps exploring from their own perspectives in the manner of Neisser's perceptual cycle.
Mauri's slides in Virtual '07, Haninge, Sweden, Sept 21 2007

METADATA, FOLKSONOMIES AND ONTOLOGIES

Why? Because ontologies have to do with:
• Ontology is a core issue in media design
Major global project in the Internet: the Semantic Web initiative
• Multi-perspective media as a potential for CCM
• Is a kind of self-organization

Metadata

• A hidden layer of information associated with content, allowing 'intelligent' linking, filtering and other operations (=data about data)
• Puts data into its larger context

Header information

Example: Metadata in HTML, e.g. formats, technologies and standards according to which the data is to be interrpeted
• Date
• Creator

Ontology

Introduced earlier.
Mauri: The set of defining properties of a content domain.
Gruber: Ontology is the specification of conceptualization
Ontologies are always there, even when they are implicit (usually).

Ontology as means of power

Underlying ontologies reflect their:
• priorities, preferences
values of the author or owner of the medium.
• rules
• priorities
• the sequence or access path to content
=> No such things as neutral messages, or neutral media!
Who defines the ontology?
Media design:
• Content that is conceived as important made accessible on a hierarchically high level, while
secondary content is buried in the hierarchy.
=> Ontology is a core issue in media design!

Hard ontologies

Monoperspectival (allow only one way of viewing it).
• Fixed perspective
Implicit:
• Embedded in the structure, presentation order or hierarchy
• Assume a priori language, vocabularies, terminology, concepts, e.g. in literature
• Examples
US Congress Library
Carl Linnaeus (Linne')
• Carl Linnaeus' built an extensive taxnomical system of botanics
Linneaeus botanical taxonomy
• Library classification systems, e.g. US Congress Library classification system
Databases, operating systems etc.
Search engines, e.g. Yahoo, Google
Website architectures, e.g. web pages, sites, http://www.tlu.ee

Semantic web

Semantic Web
The web before semantic web
The web after the semantic web

Spatial ontologies

Defined spatially by means of ontological dimensions (ontodimensions).
Describe domains of information without a fixed perspective.
Each ontodimension represents a property individual items may or may not have.
Apply to different degrees to each individual item of the domain.
Application areas:
• unbiased knowledge building
• pedagogical purposes
• equality
• ethical content

Implementation of soft ontologies

http://www.tlu.ee/imke/intronm/images/SO_matrix.jpg


A soft ontology can be expressed as a matrix, in which columns correspond to items of the domain, and row for the ontological dimensions.


Numeric matrix: Each item taking a value between 0 and 1 on a dimension
Number of dimension open: New features can be added and existing ones may be ignored at will

Collarobative tagging

• Users tag content with their own descriptors = 'folksonomy' = soft ontology
• (Content sharing discussed earlier)
• Filckr
YouTube
Del.icio.us
CiteULike
Shelfari
Etc.
=> Tag space:
• Each tag constitutes an ontological dimension (coordinate)
• How often the tag has been used for each item consitutes the item's position along the particular dimension (coordinate)

Multi-perspective media

• Public contribution to ontologies (e.g. tagging, folksonomies)
• Media particularly designed to support multiple equally right/true perspectives to the same domain
• Interactive exploration of multiple perspectives defined by the user

Assignment

• Multi-perspective media experiment with "likings" of community members
As a collaborative community, contribute to the spatial Likings data, using Google Spreadsheet:
1) Insert (Insert/Column left) a few descriptive columns (="tag dimension"), referring to likings of a community member.
2) Add a line describing yourself, adding a decimal value between 1 and 0 to each column, corresponding to your liking. NOTE: Keep doing this every time someone adds a column.
3) Download this file http://www.tlu.ee/imke/intronm/data/Likings.txt and upload here.
4) Explore the Likings metaspace by setting your PERSPECTIVE, that is, the priority of dimensions you want to consider, using the sliders:
• 0 = ignore dimension
• 0.5 = kind of important dimension
• 1= fully take into account
NOTE: Mauri needs to update this manually (=> not intermediate response)
4) Take snapshots of visualized clusterings from your chosen perspective and NAME them:
• Potential sub-communities (e.g. Carrot-Brahms party)
• Opposing groups
5) Upload the screenshots with your observations to wiki!
Ideas for applications?
Usability problems?

Next time

• Conclusion of the course
• Practicalities for the exam
• Street excursion