Taxonomies Presentation

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    Taxonomies & Classification

    Shannon LucasInformation Architecture

    INF 389F

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    Taxonomies & Classification

    Classification

    Classification theory refers to a cognitive process, not aphysical one (i.e., arranging books).

    Is basically categorization and aims at making informationmore accessible.

    Humans tend to classify almost universally at the genuslevel.

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    Taxonomies & Classification

    Genus-Level Classification

    Animal

    Vertebrate

    Reptile

    Lizard

    Bearded Dragon

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    Taxonomies & Classification

    Exact Schemes

    Divide along sections that are well defined or mutuallyexclusive.

    Usually involve known-item searching. Common exact schemes:

    Alphabetical - White Page residential listings,employee directories.

    Chronological - Time lines, news coverage, web logs. Geographical - Travel planners, bus routes, travel

    directions.

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    Taxonomies & Classification

    Ambiguous Schemes

    Organization based on subjective areas that people maybe more familiar with.

    Common ambiguous schemes: Subject Task Audience

    Metaphor

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    Taxonomies & Classification

    Subject Classification

    Also called topical classification. Rooted in Aristotles idea of perfect categories. Categories based on external characteristics or

    subjectively determined aboutness.

    Allows users to find by browsing. Made more powerful through cross-referencing.

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    Yahoo Social Science Directory

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    Yahoo LIS Directory 01

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    Yahoo LIS Directory 02

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    Taxonomies & Classification

    Problems With Subject Classification

    Some categories group items with few (or no) similarfeatures.

    Wittgenstein noticed this with the category games. J. L. Austins word study also exposed further problems

    caused by property names.

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    Taxonomies & Classification

    Task-Based

    Focuses on activities users are expected to perform. Task-based schemes are familiar from desktop

    applications.

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    Task-Based Classification

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    Taxonomies & Classification

    Audience-Based

    Organizes content based on expected user type. Often placed on top of another classification system.

    Can also offer per user customization.

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    Epson Main Site

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    Epson North America

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    Epson Ireland

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    Epson Japan

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    Taxonomies & Classification

    Metaphors

    Use concepts which users may already be familiar with. Desktop metaphor use in most operating systems. Spatial metaphors very common.

    Often focus more on perception thanconceptualization.

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    Oscar Mayer

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    Apple eWorld

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    Lipton Favorites

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    Taxonomies & Classification

    Taxonomies

    No agreed upon definition, but is manifestation of aclassification system.

    Most people familiar with hierarchies and parent-childrelationships.

    Two main types of web taxonomies: Descriptive Navigational

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    Taxonomies & Classification

    Descriptive Taxonomies

    Use a controlled vocabulary to allow retrieval bysearching.

    Can be made more user-friendly by indexing synonymsand common misspellings.

    Are easily grown by adding by adding parent-child orthesaurus relationships.

    Data management vocabularies allow a bottom-upapproach.

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    Mayo Clinic

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    Taxonomies & Classification

    Navigational Taxonomies

    Focus is user and not content. Generally a top-down approach using ambiguous

    classification system.

    Language used for links different from descriptivetaxonomy.

    Architect must decide on breadth and depth. Broad and shallow generally considered better.

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    Taxonomies & Classification

    Deep Hierarchy

    Transport

    Air Sea

    Planes Balloons Submarines Boats

    Powered Unpowered

    Human

    Powered

    Fueled

    Powered Unpowered

    Human

    Powered

    Fueled

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    Taxonomies & Classification

    Wider Hierarchy

    Transport

    Air Sea

    Planes Balloons Submarines Boats

    UnpoweredHuman

    PoweredFueled

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    ThylacineTaxonomies & Classification

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    Taxonomies & Classification

    References

    Benyon, D. R., (1998). Beyond Navigation as Metaphor. Retrieved October 25, 2003 fromhttp://www.dcs.napier.ac.uk/~dbenyon/EuroDL.html

    Conway, S., & Sligar, C., (2002). Unlocking Knowledge Assets. Redmond, Washington. MicrosoftPress.

    Cooperating Systems, Inc. (2003). HelloWorld Overview. Retrieved October 26, 2003 fromhttp://www.cooperatingsystems.com/helloworld/overview/index.html

    Neural Networks Research Center (NNRC) at Helsinki University of Technology (HUT). (1999).WEBSOM - A novem SOM-based approach to free-text mining. Retrieved October 25, 2003 fromhttp://websom.hut.fi/

    Norman, D.A., (1990). Why Interfaces Dont Work. In B. Laurel (Ed.), The Art of Human-ComputerInterface Design (pp. 209-219). Reading, Massachusetts. Addison-Wesley

    Raskin, J., (2002). The Humane Interface.. Boston. Addison-Wesley.

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    Taxonomies & Classification

    References (continued)

    Rosenfeld, L., & Morville, P. (2002). Information Architecture for the World Wide Web. Cambridge:OReilly.

    Taylor, Arlene G. (1999). The Organization of Information. Westport, Connecticut: LibrariesUnlimited.

    Van Duyne, D., Landay, J.A., & Hong, J.I. (2003). The Design of Sites. Boston: Addison-Wesley.