A Visual Workflow to Explore the Web of Data for Scholars

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description

As the Web evolves in an integrated and interlinked knowledge space thanks to the growing amount of published Linked Open Data, the need to nd solutions that enable the scholars to discover, explore and analyse the underlying research data emerges. Scholars, typically non-expert technology users, lack of in-depth understanding of the underlying semantic technology which limits their ability to interpret and query the data. We present a visual work how to connect scholars and scientific c resources on the Web of Data. We allow scholars to move from exploratory analysis in academic social networks to exposing relations between these resources. We allow them to reveal experts in a particular fi eld and discover relations in and beyond their research communities. This paper aims to evaluate the potential of such a visual work ow to be used by non-expert users to interact with the semantically enriched data and familiarize with the underlying dataset.

Transcript of A Visual Workflow to Explore the Web of Data for Scholars

A Visual Workflow to Explore the Web of Data for Scholars

Anastasia Dimou, Laurens De Vocht, Mathias Van Compernolle, Erik Mannens, Peter Mechant and Rik Van de Walle

Ghent University – iMinds – Multimedia

Big Scholar 2014, WWW14

Seoul, Korea, 8th April 2014

ResXplorer.org ewi.mmlab.be/academic

Exploring the Web of Scholars with Linked Data

Demanddiscover, explore and analyze the research data reuse and exchange resources

Exploring the Web of Scholars with Linked Data

Demanddiscover, explore and analyze the research data reuse and exchange resources

Linked Open Data

Exploring the Web of Scholars with Linked Data

Advantagea substantial role in the context of digital libraries and archivesideal to reveal links between resources

Exploring the Web of Scholars with Linked Data

Disadvantagelack of understanding of the semantic technologylimits scholars to optimally interpret and query the Web of Scholars

Visual representations for Linked Open Data

to observe multiple aspectsof the data while controlling

and coordinating its views

to additionally reveal the links between the data

Visual workflow for Linked Open Data

Visual workflow dynamic

Visual representation static

A visual workflow for resources represented

as Linked Open Datafor exploitation, discovery and analysis

of the Web of Data for scholarsusing information exploration techniques

Visual Workflow

Visual Workflow

Information Exploration:

Exploratory Data Analysis

The scholar gets familiar with the dataset

no explicit assumption regarding the dataset

the dataset itself reveals its underlying model and the relationships between its resources

ewi.mmlab.be/academic

Visual Workflow

Coordinated view

Most detailed resourcescannot be further decomposed

a certain resource or the links between two resources

Coordinates the narrowing and the broadening view

ResXplorer.org ewi.mmlab.be/academic

Visual Workflow

Information Exploration:

Exploratory Search

The scholar is familiar with the dataset

Scholars 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

ResXplorer.org

Evaluation of the Visual Workflow

Evaluation

Demo of the workflow for the evaluation

LOD Visualization Suite (LOD/VizSuite) implements the narrowing view

ResXplorerimplements the broadening view

ResXplorer.org ewi.mmlab.be/academic

Survey Results: Explorability

Survey Results: Complexity

User test results: Narrowing View

User test results: Broadening View

Conclusions

Novel visual workflow for exploring resources in the Web of Data

User interfaces based on graph visualizations offer unique, multifaceted experience

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

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

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

A Visual Workflow to Explore the Web of Data for Scholars

ResXplorer.org: http://resxplorer.org

LOD/VizSuite: http://ewi.mmlab.be/academic

Contact us

Anastasia Dimou anastasia.dimou@ugent.be @natadimou

Laurens de Vocht laurens.devocht@ugent.be @laurens_d_v