personalized navigation in the semantic web: an enhanced faceted browser michal tvarožek...

Personalized Navigation in the Semantic Web: An Enhanced Faceted

Browser Michal Tvarožek

[email protected], FIIT STU BA

mailto:[email protected]

30. 3. 2006 Personalized Navigation in the Semantic Web: An Enhanced Faceted Browser

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Presentation outline

• Motivation

• Proposed solution

• Progress to date

• Work to do next

• Summary


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Motivation

• The navigation problem – “Lost in hyperspace”

• Simplify navigation

• Large open information spaces

• User-friendly semantic query construction

• User data acquisition & logging


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Proposed solution – FacticFaceted Semantic Browser

• Ontologies and semantic markup

– Domain ontology [NAZOU]

– User ontology [NAZOU]

• Enhanced Faceted Browser

– Faceted classification

– Multi-level facets

– Equally-weighted facets

– Adaptivity


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Implementation environment

• Java 1.5 (v Eclipse )

• Apache Cocoon framework

• Works as a java servlet in a servlet container (Jetty, Apache Tomcat)

• Apache AXIS as a web service “container”

• Sesame for ontological storage

• Subversion for source code versioning


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Faceted Semantic Browser – Factic

• Construction and execution of semantic queries

• Browsing and simple processing of search results

• Input

– Domain ontology (data and faceted classification)

– User ontology (in the future)

– Configuration files

• Output

– Interface description (XML data file)


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Semantic Logging – SemanticLog

• Logs events with known semantics

• Requires an ontology of events

– Ontology in very early design stage

• Input: event descriptions (+event ontology)

• Output: log file in XML format

• Web service interface


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Cooperating user modeling tools

• Factic needs a “full” user model

• User modeling tools are needed

– SemanticLog supplies server-side log data

– Click [Michal Barla] supplies client-side log data

– Log Analyzer [Michal Barla] processes acquired data

• User model stored in ontological repository


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Progress to date

• Basic implementation of a faceted browser

– 3 defined facets

– Simple semantic queries

– Browsing of search results

– Simple sorting of search results

• Basic implementation of a logging tool

– Present implementation must be used directly as a java class

– Output is not a full XML file, but an XML fragment

• Basic design of a user interface


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How does/will it all work?

Factic

Generator

Factic Core

RepositoryProxy

Log(XML)

Sesame

Cocoon processing (+Prescott)

Controller

XML XHTML

XSLT

Log Analyzer

Domain modelUser model

SemanticLogLog Event

Client

Click

WebBrowser

Log Event


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Example of a user interface


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Work to do next

• Generalize hard-coded functionality

• Generalize facet definitions

• Define more static facets, facet types

– Enumerations, numeric intervals, dates

• Modify SemanticLog to work as a web service

• Adaptation

• Identify / define evaluation methods / metrics


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Sources of adaptation

• User’s knowledge (what I know)

• User’s goals (what I want to do)

• User’s background (what I am)

• User’s experience (my knowledge of hyperspace)

• User’s preferences (what I like)

Goals, background and knowledge are most suitable

Preferences and experience are harder to use


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Adaptation options

• Adaptation of predefined facets

– Reordering, hiding, annotation of facets and values

– Direct or local guidance

• Dynamic facet generation

– Generation of facets from the domain & user ontology

• Adaptation of search results

– Annotation, sorting, hiding

– Need for external evaluation tools (ConceptComparer)


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Adaptation of predefined facets

• Reordering of facets

– Based on attribute relevance

• Hiding of facets, facet values

– Based on attribute relevance and number/relevance of values

• Annotation of facets and facet values

– Based on user goals

• Recommending restrictions

– Based on the greatest reduction of the information space


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Summary

• Basic implementation exists

• Near-term goals are defined and work is in progress

• Adaptation methods must be explored in more detail

• Future work

– Advanced query mode

– History tracking / evaluation

– Integration with Prescott [NAZOU]

– Integration with searching tools [NAZOU]

personalized navigation in the semantic web: an enhanced faceted browser michal tvarožek...

Documents

semantic web

personalized navigation

semantic browser ontologies

user interface slide

web service adaptation

summary slide

execution of semantic

user goals