MICHAL TVAROŽEK, MICHAL BARLA,
GYÖRGY FRIVOLT, MAREK TOMŠA,
MÁRIA BIELIKOVÁ
Improving Semantic Search via Integrated Personalized
Faceted and Visual Graph Navigation
{TVAROZEK,BARLA,FRIVOLT,TOMSA,BIELIK} [AT] FIIT.STUBA.SK
INSTITUTE OF INFORMATICS AND SOFTWARE ENGINEERINGFACULTY OF INFORMATICS AND INFORMATION TECHNOLOGIES
SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVA
Motivation
Semantic Web applications
Search and navigation related issues Difficult construction of queries and ambiguity
Open ended and exploratory tasks
Complex and hard to use search interfaces
Insufficiency of classical faceted browsers
Suitability of visual approachesJanuary 21, 2008SOFSEM 2008, High Tatras, Slovakia
Personalized faceted and visual browsing
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Adaptive semantic browser
Ontologies &semantic search
Faceted browsingAdaptive
navigation
Semantic WebView-based
searchAdaptive Web
Graph visualization
Vertical &horizontal navigation
Example: Faceted browser
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Faceted browsing challenges
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Managing information overload
Too many facets (complex information spaces)
Too many restrictions (large information
spaces)
Still too many search results
Hard to understand instance details
Advanced exploratory tasks
Faceted browser enhancements
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Refresh facet state
Log user action with semantics
Generate output
Annotate search results
Create and executedatabase query
Retrieve search resultsfrom the database
Generate the resultingbrowsing state
[update facets andrestrictions]
[update search results]
Adapt search results
Adapt facets and restrictions
Recommend facets and restrictions
Generate dynamic facets
[insufficient facets]
[facets are suitable]
Annotate facets and restrictions
Facet adaptation, annotation, recommendation
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Faceted browser enhancements
December 18, 2007SMAP 2007
Refresh facet state
Log user action with semantics
Generate output
Annotate search results
Create and executedatabase query
Retrieve search resultsfrom the database
Generate the resultingbrowsing state
[update facets andrestrictions]
[update search results]
Adapt search results
Adapt facets and restrictions
Recommend facets and restrictions
Generate dynamic facets
[insufficient facets]
[facets are suitable]
Annotate facets and restrictions
Example: Visual navigation
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Navigating search results
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Hierarchical clusters Cluster size annotation Similarity annotation
Annotations Property
summarization Most frequent
propertiesFIIT SUTAdaptive Hypermedia
Michal TvarožekDaniel Schwabe
Paul de Bra
Petr ŠalounPeter Brusilovsky
...
......
......
Mária BielikováICWE 2007AH 2006
SOFSEM 2007
ISIE 2006
Michal Tvarožek
Michal Barla Michal BarlaFIIT SUT
Faceted navigation
Adaptive Faceted Browser for Navigation...,Personalized Navigation in the Semantic Web,Personalized Faceted Navigation for Multime...
Mária Bieliková
Adaptive hypermediaPeter Brusilovsky,Paul de Bra,Lora Aroyo,Helen Ashman,Wolfgang Nejdl,...
Navigating instance neighborhoods
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
samePlace
sameTopic
sameAuthor
Navigating instance properties
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Poster: Personalized Faceted Browsing for Digital Libraries
author
venue
Paper: Improving Semantic Search Via Integrated Personalized Faceted and Visual Graph Navigation- Pages: 12- Year: 2008
Author: Michal Tvarožek- Affiliation: FIIT SUT- Email: [email protected]
Venue: SOFSEM- Year: 2008
Venue: ICWE- Year: 2007
Venue: ECDL- Year: 2007
Venue: WWW- Year: 2007
Author: Michal Barla
Author: Mária Bieliková
Author: György Frivolt
Author: Marek Tomša
authorauthorauthor
author
similar
venue
authorOf
Demo: Personalized Faceted Navigation in the Semantic Webvenue
authorOf
Poster: Adaptive Faceted Browser for Navigation in Open Information Spaces
venue
authorOf
paper+
+
+
authorOf
authorOf
Relevance and user models
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Automatic acquisition from user behavior
User characteristics (long-term and short-
term)
In-session behavior
Global trends and popularity
Similar users and social relations
Conclusions (1)
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
Evaluation with multiple domain ontologies
Scientific publications (mapekus.fiit.stuba.sk)
Digital photographs
Prototype implementation
Factic + ClusterNavigator/Clusterer
Java, Sesame, OWL + Prefuse, MySQL
Conclusions (2)
Integrated faceted and visual navigation
Personalization improves user experience
Future work
Handling multiple/multi-domain ontologies
Leveraging social networks for clustering,
navigation and visualization
January 21, 2008SOFSEM 2008, High Tatras, Slovakia
mapekus.fiit.stuba.sk
January 21, 2008SOFSEM 2008, High Tatras, Slovakia