A Visual Exploration Workflow as Enablerfor the Exploitation of Linked Open Data

Laurens De VochtA.Dimou, J. Breuer, M. Van Compernolle, R. Verborgh,

E. Mannens, P. Mechant, R. Van de Walle

Investigate demandHow todiscover, explore and analyze available published datareuse and exchange of resources

Linked Open Data

Advantagea substantial role in contexts like e.g.digital libraries and archivesideal to reveal links between resources

Disadvantagelack of understanding of the semantic technology limits non-semantic Web expertsto optimally interpret and query Linked Data

1. Defining the Workflow2. Visualization3. Evaluation4. Discussion and Conclusions

Agenda

1. Defining the Workflow

A visual workflow for resources represented

as Linked Open Datafor exploitation, discovery and analysis

of the Web of Data using information exploration techniques

Narrowing

The user gets familiar with the dataset

no explicit assumption regarding the dataset

the dataset itself reveals its underlying model

and the relationships between its resources

Narrowing

Initial overview the broader concepts are demonstrated

Narrowing views narrow the broader concepts.each narrowing view relies on grouping and aggregating resources based on their types and properties

Coordinated View

Most detailed resources cannot be further decomposed

a certain resource or the links between two resources

Coordinates transition between narrowing and broadening views

Broadening

The user is familiar with the dataset

Users explore the dataset on their ownfind novel relations between resources

Views are not limited to the data of the dataset but relevant links to resources of other datasets are also revealed and visualized

2. Visualization

3. Evaluation

Results

Case study: Academic Library Metadata

User perceived goals

Explorability and Usefulness

Complexity and Learnability

Overall results

User perceived goals

Explorability and Usefulness

Complexity and Learnability

Overall Results

4. Discussion and Conclusions

Discussion

ConclusionsUser interfaces based on graph visualizations offer unique, multifaceted experience

when combined with techniques for information explorationand enhanced with optimized search in Linked Data.

enables users to view and navigate through combined aspects of research data

to come up spontaneously with observations whose reasoning can be directly investigated

It contributes to having more users familiar with Linked data and thus an increased demand.

Contact

http://www.resxplorer.orghttp://ewi.mmlab.be/academic

@laurens_d_v #mmlablaurens.devocht@ugent.behttp://slideshare.net/laurensdvhttp://semweb.mmlab.be/