User Centric Integration of Activity Data

HypothesisMathieu d’Aquin

KMi, The Open University

Organisation Centric Activity Data

Users

Organisation

Website 1

Website 2

Website 3

Website 4

Logs 1Logs 2

Logs 3

Logs 4

ConsolidationConsolidation Consolidation

Analytics = aggregated stats

User Centric Activity Data

Users

Organisation

Website 1

Website 2

Website 3

Website 4

Logs 1Logs 2

Logs 3

Logs 4

ConsolidationIntegration

Interpretation

Activity analysis and interaction patterns for individual users

What is needed

• Challenges:– Integration of activity data from various logs– Consolidation beyond “number of visits”– Interpretation of activity data in a user centric, activity

oriented

• Ontologies:– Formal, machine processable conceptual models of a

domain– Allow for integration of heterogeneous data– As semantic models of the data, can be used to

reason upon the data

Hypothesis

1. Taking a user centric point of view can allow different types of analysis of logs/activity data, which are valuable to the organisation and the user

2. Ontologies and Ontology-based reasoning can support the integration, consolidation and interpretation of activity data from multiple sources

Overview

Website 1

Website 2

Website 3

Website 4

Logs 1Logs 2

Logs 3

Logs 4

Plugin 1Plugin 2

Plugin 3

Plugin 4

Semantic Store/Engine

RDF Representations of traces

Trace

Website

Actor

Activity

Based on

Inference

Use case: Open University websites and research project websites

Extracting log formats (apache, piwik, etc.) into RDF

Using OWLIM

See next slide. Project to include tools on editing ontologies for AD

Ontologies

Ontologies

More info

UCIAD Blog: http://uciad.info

Code base: http://github.com/uciad

Twitter: #uciad

@mdaquin