1. Politecnico di Milano
Context -ADDICT
Context-Aware Data Design,
Integration, Customization, Tailoring
Context-ADDICT

2. Motivations and scenarios
• Disparate, heterogeneous, independent Data Sources
• Semantic schema integration
• Context-aware information filtering: Data Tailoring
• Common, integrated, semantic access to data
• Issues: mobility, data transiency
• Multiple scenarios: system adaptability
• < add your favourite buzz-word here >
Context-ADDICT

3. Tasks and Challenges
Tasks:
• Data Source Discovery (later)
• Lightweight (Semi)Automatic Data Integration
• (Semi)Automatic Semantic Extraction
• Context-Aware Data Filtering (focus)
• Semantic Distributed Query processing
Challenges:
• Data Sources: heterogeneous, transient, mobile, unknown at design time
• User Mobility
• Multiple scenarios: system flexibility and adaptability
• Need for high automatism
• User Device Constraints (small portable devices)
Context-ADDICT

4. Overall System Architecture
Context-ADDICT

5. Models view
Context-ADDICT

6. Data Tailoring
Data Tailoring, based on the Dimension Tree Instantiation:
• Schema Tailoring
• Instance Tailoring
Context-ADDICT

7. Data Integration
Domain ontology - Data source integration:
Standard Ontology mapping functionalities
Lightweight, automatic processing (mobile user’s device)
Automatic inconsistencies resolution
Context-ADDICT

8. Semantic Extraction
Data Source Ontology:
• Semantic Extraction: data abstract model + storage model
• Supports the query processing
• Models isolation (different models can be used separately)
Context-ADDICT

9. Query Answering
Query Answering:
• Choose an ontology query language (SPARQL, OWL-QL)
• Query decomposition
• Query translation
• Data Fusion
• Query Optimization
Context-ADDICT

10. Context-ADDICT projects/thesis
We will managed area­based meeting/presentation:
­ Ontology Mapping
­ Semantic Extraction
­XML, Relational, Web(crawler)
­ Ontology Tailoring
­ Query Answering
Are you interested?
(Please rise you hand when asked)
We will post the information about the meetings here:
feed://www.elet.polimi.it/upload/curino/NEWS/rss.xml
http://www.elet.polimi.it/upload/curino/NEWS/NEWS.html
Context-ADDICT

11. Context-ADDICT projects
QuickTime and a
TIFF (LZW) decompressor
are needed to see this picture.
­ Dimension Tree + tailoring
­ ER tool integration
­ X­SOM:
­ matching modules (neighborhood, subclass, probabilistic,
H­MATCH integration)
­ Protégé plugin and standalone
­ Relational Integration
­ use CLIO (or similar) + automatic feeding by domain
ontology
­ Query Answering
­ query language selection (expressivity & al)
­ automatic wrapper generation for Relational and XML
­ XML2OWL
­ look at the XSLT based approach and enrich it...
­ Relational2OWL
­ advanced features on ER generalization
­ Plugin GUI
­ Ontology Extraction
­ semantic completeness + labelling vs querying
­ Web 2 OWL
­ ontology extraction from web sources
Context-ADDICT

12. Context-ADDICT team
Prof.ssa Cristiana Bolchini (bolchini@elet.polimi.it)

Prof. Fabio A. Schreiber (schreibe@elet.polimi.it)

Prof.ssa Letizia Tanca (tanca@elet.polimi.it)

Dott.ssa Elisa Quintarelli (quintare@elet.polimi.it)

Dott.ssa Rosalba Rossato (rossato@elet.polimi.it)

Ing. Carlo A. Curino (curino@elet.polimi.it)

Ing. Antonio Penta (a.penta@unina.it)

Ing. Giorgio Orsi (orsi@elet.polimi.it)

Context-ADDICT

13. Conclusions
These projects are part of our research so are:
Limited, Challenging, Unique,
Work-intensive, Team-managed
If you want a project you are welcome on board, please
contact:
curino@elet.polimi.it
orsi@elet.polimi.it
Otherwise I’m sorry you have just lost the most challenging
and exciting chance you have had in your life!
Context-ADDICT