SWAHA08 - Personalizing Human Interaction through Hybrid Ontological Profiling: Cultural Heritage Case Study

PERSONALIZING HUMAN INTERACTION THROUGH HYBRID ONTOLOGICAL PROFILING: CULTURAL HERITAGE CASE STUDY Nima Dokoohaki , Mihhail Matskin Bangkok, Thailand, February 2nd 2009 First workshop on Semantic Web Applications and Human Aspects (SWAHA) Royal Institute of technology (KTH), Stockholm, Sweden

Content
Motivation
Problem Description/Formulation
Contribution
User Profile
Profile Structure
Records (segments)
Semantic network of user profile
Extending CH ontologies with User keywords
User Model ontology
CH Metadata + Human User Metadata
Conclusion/Future Work
Questions

General Problem
Scenario:
Constructing a Semantics-aided Museum (Cultural Heritage) knowledge Platform
Clients are mobile devices which guide users through exhibit
Goals:
Improving structured, user behaviour and preference dependent access to cultural heritage repositories
Approach taken: User modelling and profiling
Bringing personalised cultural experience closer to non-expert communities
Approach taken: Personalization techniques; Collaborative Filtering Recommender Systems

Contribution
Need for a hybrid approach
Allows description of the user attributes
Recording history of user access for personalized, adaptive and interactive experience
Need for a generic structure
Structure that allows incorporation of all kinds of usage attributes [Domain independence]
Weight(s) can be assigned to recorded materials [Weighted profiles]
Structure that can be presented in [Interoperable]
high level formats (OWL/RDF)
low level formats (XML/Database)

Profile Structure
A Generic Structure
Used for saving and retrieving different types of information that document both behavior and knowledge aspects of the user.
Documents
Personal information about the user
History and evidence of the Usage experience
Weight of the information recorded
Structural descriptions
Depth (hierarchy)
Length (flat structure)

Profile Records Example: Records of visit of user to museum: < Reference to Context, visited, “artifact name”, atTime{Date time/date value}, Rank, Privacy, Trust> <http://smartmuseum.eu/ns/context/weather#, visited, Venere, atDate 20081210 , 0.8, 0.5, 0.6> User Profile

Italian Renaissance Sandro Botticelli Michelangelo Buonarroti Primavera David Venere Holy Family Early Renaissance Late Renaissance Semantic Profile Network hasPainted hasArtist hasArtist hasCreated hasPainted hasPainted

Semantic Profile Network Visualized by RDF Gravity , http://semweb.salzburgresearch.at/apps/rdf-gravity/download.html

Improving personalization through cultural heritage extension with user model
We can extend existing [legacy] cultural heritage keyword-set to contain Human attributes [extended]
Construct a user model ontology to describe attributes of our user
The user model ontology concepts are used to expand legacy concepts for cultural heritage
Aim : Improving recommendations (information retrieved on user’s behalf)
Through query expansion
Expanded query contains user attributes (profiles)
Efficient individual/group matchmaking
Similar instances are on both sides
item instances and user profiles

Extending Metadata with Human Attributes (User Model Ontology) Perspectives Categories

Schema Instances VRA:technique VRA:Material VRA: Creator VRA:location.CreationSite SM: SuitesAgeGroup SM:SuitesKnowledgeGroup SM: IncludedinTour SM: SuitesVisitorType SM:Companion IncludedinTour SuitesVisitorType SuitesVisitorType CreationSite Creator Material SuitesKnowledgeGroup Companion SuitesAgeGroup SuitesAgeGroup Extended CH keywords with Human All SUM: Age Group SUM: Knowledge Group TGN: Place ULAN: Person AAT: Concept VRA: Work SUM: Tour. TourName SUM: Visitor Typology SUM: visit. Companion Greedy Virtual Uffizi Florence Adult Sandro Botticelli Venere Tempera on Canvas Teenager Selective Parent

Conclusion / Future work
Conclusions
User Behavior models ( Profiling / Modeling) seem to become dominant approaches in
addressing problems of altering structure of human-system interactions, specifying and presenting of preferences of human users
Personalization techniques seem to become dominant approaches in
information dissemination
Future work
Focused study of personalization effect based on profile/model
Implementing personalization services based on user profile/model
Recommendation [ongoing]
Improving existing recommendation based on weight values [ongoing]

Questions ?

Thank you !
Nima Dokoohaki
School of Information and Communications Technology (ICT ),
Royal Institute of Technology ( KTH ),
Stockholm,
Sweden
Office: +46 (0) 8 790 4149
Cell : +46 (0) 76 269 76 30
Fax: +46 (0) 8 751 1793
[email_address]
http://web.it.kth.se/~nimad/

SWAHA08 - Personalizing Human Interaction through Hybrid Ontological Profiling: Cultural Heritage Case Study

by Nima Dokoohaki on Feb 08, 2009

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SWAHA08 - Personalizing Human Interaction through Hybrid Ontological Profiling: Cultural Heritage Case Study — Presentation Transcript

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