Slide 1

Knowledge management on the desktop

Laura Drgan, Stefan Decker

Hello, My name is Laura and I'm here to tell you about linking semantic desktop data to the web of data

I'll start by describing a bit the reasons behind it, and a bit of background

[Old] Challenges & Motivations

Information overload

Nelson (70s) Data silos / application formats

Trusted information

Nelson (70s) Associative trails

Bush (40s) Engelbart (60s)

memex

Vannevar Bush - As we may think - 1945!

... a device in which an individual stores all his books, records and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility

NLS and Xanadu

Doug Engelbart & Ted Nelson

1960s and 1970s

better concept structures can be developed structures that when mapped into a humans mental structure will significantly improve his capability to comprehend and to find solutions within his complex problem situations.

Modern Semantic Desktops

Modern Semantic Desktops

Differences and Similarities

Architecture

Data representation

Evaluation

Architecture

Layered modular service oriented

Layers (fuzzy)Data layer

Service layer

Presentation / Application layer

Data layer

Data-centric

FunctionsUnlock desktop data from application repositories

Transform data from application specific formats

Data representation

All systems define a data model

comprehensive small/generic

modular monolithic

Services

Storage

Extraction

Integration

Annotation

Query

Inference

...

Services

Storage

Extraction

Integration

Annotation

Query

Inference

...

Services

Storage

Extraction

Integration

Annotation

Query

Inference

...

Services

Storage

Extraction

Integration

Annotation

Query

Inference

...

Services

Storage

Extraction

Integration

Annotation

Query

Inference

...

Services

Storage

Extraction

Integration

Annotation

Query

Inference

...

Blackboard pattern

Desktop services

Storage service

Data storage

Applications

Categories of systemsEnhance existing applications with semantic features

Replace existing applications with new semantic ones

Flexible visualizations

Resource browser

Evaluations

Evaluation of PIM tools is difficult

Kelly 2006

Simple ontologies prefered

Customisation rare

Sauermann 2009

Semantic applications are better

Franz 2008, 2009

Conclusion

SimilarMotivations

Goals

Architectures

Outcomes

Adoption

Future of the systems

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