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Hartwig Hochmair 1 Hartwig Hochmair Institute for Geoinformation TU Vienna Revigis meeting Carnuntum 2001 Data Sources Used for the Navigation Process in the web

Hartwig Hochmair1 Institute for Geoinformation TU Vienna Revigis meeting Carnuntum 2001 Data Sources Used for the Navigation Process in the web

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Hartwig Hochmair 1

Hartwig Hochmair

Institute for Geoinformation

TU Vienna

Revigis meeting Carnuntum 2001

Data Sources Used for the Navigation Process in the web

Hartwig Hochmair 2

Outline

• Idea of my model for WWW navigation• Two data sources for WWW navigation• In which realms of WWW navigation plays

semantic matching a role

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Model: 2 data sourceswww

use similarities of concepts for web navigation

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Structure of web domain• Vertical categories with subcategories• Crosslinks (dashed)• one single graph

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User’s View: Aristotle’s Ontology

object

things bodies qualities events processes

substance accident

affordance

[Gibson, 1977]

attributes action affordancesphysical objecthierarchy

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Structure of the Semantic Map

Hartwig Hochmair 7structure: list of graphs

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Three Levels of Matching

1. web browser interface (interface level): • advertised and afforded actions • meaning of symbols• meaning of technical terms

2. synonymy of perceived terms (context-level)

3. view of the world of web designer and web user (ontology level)

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1. Interface Level

• B.Smith (1999): “In the world of information systems,…ontology is constituted by a specific vocabulary and programming environment”

• ontological engineers philosopher-ontologists

• languages• descriptions• software representations• representation in people’s mind

• objects• properties• states• events• processes

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1. Technical Terms

• B.Smith (1999): “In the world of information systems,…ontology is constituted by a specific vocabulary and programming environment”

• ontological engineers philosopher-ontologists

• independent of language• software artifact• for specific use• computational environment

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1. specific vocabulary for scientific domain

• Refresh• Home• Favorites• Discuss• Sychronize…

• Symbols:

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1. specific vocabulary for scientific domain

• Refresh• Home• Favorites• Discuss• Sychronize…

• Symbols:

Assumed as Common knowledge –not to be expclicitely modeled

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2. Context Level

• One term has several meanings (polysemous terms)

• User-defined template: filled by information [Guarino 97]

• Template provides context

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2. Example for Semantic Matching

Red(X)

this shirt is red (colour)a politician is a red (political direction)

an Indian is a red (human race)

in WWW navigation: clear through context

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3. Ontology and Epistemology

• …the science of what is, of the kinds and structures of the objects, properties and relations in every area of reality [Smith 99]

• WWW: 2 different ‘ontologies’– existing web structure (fact): ontology– user’s mental map (belief): epistemology

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3. Overlap of Ontology and Epistemology

All

User

DesignerUD

disjoint Area

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3. Example for Successful Data Matching

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3. Potential Problems (www)

Error in web design: not designed for various user groups

No absolutely ‘correct ontology’ => differences between web ontology (web designer) and web user.

For example: caused by inconsistent subset relations in the web structure

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missing inconsistency:

clothing

shoe

where is link ‘shoe’ ??user gets lost!

clothing shoe

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Conclusions

• Different levels of semantic matching applied in WWW navigation

• Problem: different ontology/epistemology• 2 main data sources

– different structure– represent same content

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Kinds of Ontologies

[Guarino 1997]

top-level ontology

domain ontology task-ontology

application ontology

(sem. matching,Smith 1999)

(symbols, similar voca-bulary, functions)