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TOPIC MAPS * Structure and relationships of information

An introduction to Topic maps: Structure and relationships of information

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Two user experience professionals, based at LBi London, present their current understanding of topic maps. Many thanks to Kal Ahmed and Graham Moore for pointing us in the right direction

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Page 1: An introduction to Topic maps: Structure and relationships of information

TOPIC MAPS *

Structure and relationships of information

Page 2: An introduction to Topic maps: Structure and relationships of information

* DISCLAIMER

We are new to topic maps, we're just finding our way

Page 3: An introduction to Topic maps: Structure and relationships of information

Where do ourinformation-structuring metaphors come from?

Page 4: An introduction to Topic maps: Structure and relationships of information

Taxonomies

A hierarchical system of classification developed by Carl von Linné (Linnaeus) for biological classification.

Originally set forth in hisSystema Naturae , 1735.

http://en.wikipedia.org/wiki/Carl_Linnaeus

Page 5: An introduction to Topic maps: Structure and relationships of information

Taxonomies

Each term in a taxonomy has one or more parent-child relationship often expressed in a tree structure or dendogram

Advantages:Excellent for one-to-one classification and filing of items into a system. Hierarchy of information and relationship is implicit. Disadvantages: Items can only be filed in one location. Therefore, whoever does the classification decides where something 'lives'

Page 6: An introduction to Topic maps: Structure and relationships of information

Folksonomies

Not a traditional data structuring method. First coined by Thomas Vander Wal (on the 24th of July 2004 to be precise). A folksonomy is a classification system based on collaborative user tagging. Advantages:Extensible and flexible. Allows multiple users to define their own relationship to things.

Disadvantages: No way of being clear what someone else's definition means. Needs a critical mass of interaction to be useful.

Page 7: An introduction to Topic maps: Structure and relationships of information

An example

Show me a picture of the Paris Hilton

Page 8: An introduction to Topic maps: Structure and relationships of information

A picture of Paris Hilton

Page 9: An introduction to Topic maps: Structure and relationships of information

Hmm, not what I was looking for

OK, I meant: show me a picture of the Paris Hilton Hotel

Page 10: An introduction to Topic maps: Structure and relationships of information

Finally! A picture of Paris Hilton(the hotel)

http://images.google.co.uk/images?q=paris%20hilton%20hotel&um=1&ie=UTF-8&sa=N&hl=en&tab=wi

Page 11: An introduction to Topic maps: Structure and relationships of information

Taxonomies and folksonomies are bad at describing the type of 'thing'

Why? Because they cannot capture the relationships between 'things'

Page 12: An introduction to Topic maps: Structure and relationships of information

Faceted classification

Originally conceived by Shiyali Ramamrita Ranganathan in the 1930s. Facets can be thought of as multiple axes along which documents or information can be classified. Advantages:Flexible, allows information to be found through multiple routes.

Disadvantages: Can add extra complexity and visual noise, and still doesn't describe the relationship between 'things'.

Page 13: An introduction to Topic maps: Structure and relationships of information

Ranganthan's faceted classification model:

Personality – the primary subject of the document (the key facet)

Matter – the material or substance the document deals with

Energy – the processes or activities the document describes

Space – the locations described by the document

Time – the time period described by the document

http://www.boxesandarrows.com/view/ranganathan_for_ias

Page 14: An introduction to Topic maps: Structure and relationships of information

The classification of a book on Norwegian rural architecture in the 17th century might look like this:

Personality – architecture

Matter – wood

Energy – design

Space – Norway

Time – 17th century

http://www.boxesandarrows.com/view/ranganathan_for_ias

Page 15: An introduction to Topic maps: Structure and relationships of information

So where do Topic maps come in?

Time for a slightly confusing diagram

Page 16: An introduction to Topic maps: Structure and relationships of information

Topic maps

Topic maps are an ISO standard notation, created around 2000.

They are used to richly describe relationships between 'things' rather then between documents or pages.

http://www.ontopia.net/topicmaps/materials/tm-vs-thesauri.html

Page 17: An introduction to Topic maps: Structure and relationships of information

http://www.slideshare.net/hendrikthomas/hendrik-thomas-semantic-web-topic-maps-2009

Page 18: An introduction to Topic maps: Structure and relationships of information

http://www.slideshare.net/hendrikthomas/hendrik-thomas-semantic-web-topic-maps-2009

Page 19: An introduction to Topic maps: Structure and relationships of information

Topic maps

Advantages:Improve the findability of information, since they consistently describe the relationships between things, as well as the things themselves.

Disadvantages: Not widely used or understood. Large scale documentation is problematic

Page 20: An introduction to Topic maps: Structure and relationships of information

Topic maps support natural search queriese.g. "show me all articles about Paris Hilton, the celebrity, staying at Paris Hilton, the hotel"

Page 21: An introduction to Topic maps: Structure and relationships of information

Unfortunately, our document-centric structure doesn't support that query...

Google news search results:Paris Hilton staying at the Paris Hilton

Page 22: An introduction to Topic maps: Structure and relationships of information

Topic maps in use

The Norwegian Government website:http://www.regjeringen.no/en.html

Visit Norway:http://www.visitnorway.com/

Q: Why are Topic maps so popular in Norway?A: Graham Moore's (topic map guru) wife is Norwegian

Page 23: An introduction to Topic maps: Structure and relationships of information

References and further reading:

Introduction to Topic Maps– Hendrik Thomas, 2009http://www.slideshare.net/hendrikthomas/hendrik-thomas-semantic-web-topic-maps-2009

The TAO of Topic Maps - Finding the Way in the Age of Infoglut– Steve Pepper, 2002http://www.ontopia.net/topicmaps/materials/tao.html

Metadata? Thesauri? Taxonomies? Topic Maps!: Making sense of it all– Lars Marius Garshol, 2004http://www.ontopia.net/topicmaps/materials/tm-vs-thesauri.html

Ranganathan for IAs– Mike Steckel, 2002http://www.boxesandarrows.com/view/ranganathan_for_ias

Page 24: An introduction to Topic maps: Structure and relationships of information

Thanks

[email protected]@LBi.com