TWIRLTwinning virtual World (on-

line) Information with Real world (off-Line) data sources

Kick-Off Meeting

Cassidian

08 & 09 October 2012, Paris - France

High Level Architecture

TWIRL - 2

• • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • Text mining (named entity recognition & disambiguation, relation extraction, opinion mining) Image/video recognition & interpretation Semantic models Social network analysis Inferences/Reasoning Recommendations Data integration Internet mash-up Indexing & searchData quality & trust

Information capture

Fuse

Interlink Process

Mine

KB Index

Reality augmentation

Augmentation

Data collection

Virtual World data sources

Real World applications

General Websites: Wikipedia, Yahoo, Google, etc.Specialized Websites: administrative, monuments, museums, etc.Travel/tourism yellow pages and free Geo-localization databasesWeb mapping services: Google maps, Maporama, etc.B2B forumsSocial networks : Twitter, Facebook, Ipernity, etc.User (generated) data (data collected by the user itself, stored locally)

Server side connectors used for connecting new data sources to TWIRL

perform search requests. Results are transferred to the TWIRL format based on the TWIRL semantic data model

Device specific connectors running on client side

deliver access to one specific data entry from a local source such as a GPS sensor

The TWIRL repository : a system wide function to allow the transitory store of data and also to support TWIRL wide permanent data such as presence information

Camera Sensors (accelerator, heartbeat, compass…) Gps Traffic monitoring, weather forecast, etc Professional applications and databases (SAP, CRMs …)Etc.

Mobile devices

Efficient techniques for visualizing the data obtained through the different sources and for interacting with it.

• Information visualisation: renders the different data sources coherently including accounting for different environments. (space-efficient visualization techniques…)

• Information augmentation: Morphs the data sources into a coherent and user friendly view .•Smartphone,

•Tablet,•Desktop,•WebTV, •etc.

Data

Processing

Visualisation

Visualisation

Technical view

TWIRL - 3

• • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • •

DATA PROCESSING VISUALISATION

REAL WORLD (OFFLINE) INFORMATION

Software Applications (CRM, Medical, Traffic Data…)

Sensors, Camera…

User Related

Context Related

VIRTUAL WORLD (ONLINE) INFORMATION

Social Networks, Websites, Feeds, News sites, Maps...

Services

User feedback DashboardMenus, GUI etc

T4.3

Information Visualisation &

Information Augmentation

T4.2

ConnectorsT3.1

External existing libraries

Information Processing

T3.2

Discovering

Data filtering

Data integration & linking

Data model

Data Quality assessment

T?

T3.4 Knowledge Management

Social Network Analysis (Structure & Contents)

T3.3

User & Crowd Interaction

Ideas, Experiment, Evaluate

Rating & Feedback

Social Interaction

Publishing

T4.1

User Profile & context Provision

T4.3

Recommendation & Inference Engines

Content & contact based recommendations

Opinion based recommendations

T3.3

Reasoning rules

Index

Permanent Temporary

T3.1

KB

Permanent Temporary

T3.1

Processed Data

High Level Architecture