Kerstin Diwisch | Towards a holistic visualization management for knowledge graphs

Towards a holistic visualization management for knowledge graphs

Towards a holistic visualizationmanagement for knowledge graphs

Kerstin Diwischintelligent views gmbhSemantics 2016, Leipzig


Agenda

2

Company overview

Motivation

Approach

Showcases

Lessons learned

Outlook


The Company

3

intelligent views gmbh is a leading vendor of semantic technology

and develops k-infinity, the database that works the way people

think. We offer development and knowledge engineering services

based around k-infinity in order to assist our customer in getting

the most out of their data…

…working with networked information

…connecting structured and unstructured information

…putting business users in charge of data modelling and analysis

…integrating and hamonising data – structured and unstructured

…visualising information

intelligent views was spun off 1997 from Fraunhofer Research


Motivation

4

State of visualizations for knowledge graphs:

Linked Data visualizations mostly graph visualizations (Dadzie & Rowe 2011)

Multi-faceted graph visualization (Hadlak et al. 2015)

Evaluating to the visual information seeking mantra (Shneiderman 1996):

Generating an overview of the underlying data

Support for filtering out less important data in order to focus on selected ROIs

Support for visualizing the details in ROIs

Other tasks for knowledge graph visualization:

Handling multi-dimensional data, hierarchical data, network data

Identifying relationships within data


Approach

5

Possibility for knowledge engineers to create and align views while modeling

Mapping these views to frontend templates created by designers

Benefits

Create visualizations according to the visual information seeking mantra

Keep separations of concerns (knowledge engineer/designer)

Quick changes to views possible


Frontend application

Approach

6

View configuration

JSON

Frontend templates

{{mustache}}

LESS

vcm

Ractive

JS components vcmplugins

RDFS


Approach

7

Possibility for knowledge engineers to create and align views while modeling

Use the modeling tool and environment

Use semantic technologies

Mapping these views to frontend templates created by designers

Use the techniques designers are used to


View configuration example

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View configuration - Link to the actual semantic model

10

Class context

Application context



11

View classes


View configuration classes

12


View configuration instances

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View adaption

14

Template mappings

Layout hints

Alternative cio


Show Case: kscrum

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Show Case: kscrum

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Show Case: kscrum

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Show Case: kscrum

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Calendarplugin

+


Show Case: Staffing Project

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Show Case: Staffing Project

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Lessons learned

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Important, but difficult to maintain separation of concerns

Importance of preview functionality

Lifecycle overlapping between creating frontend templates and configuring views

Maintaining a simple, clean view configuration model is challenging


Questions?

Kerstin Diwisch

intelligent views gmbh

Julius-Reiber-Str. 17

64293 Darmstadt

Tel. + 49 (0) 61 51-50 06-261

Fax + 49 (0) 61 51-50 06-138

[email protected]

www.i-views.de


References

23

Aba-Sah Dadzie and Matthew Rowe: Approaches to Visualising Linked Data: A Survey. In: Semantic Web Journal, 2011.

Steffen Hadlak, Heidrun Schumann, and Hans-Jörg Schulz: A Survey of Multi-faceted Graph Visualization. In Proc. Eurographic Conference on Visualization, 2015.

Ben Shneiderman: Visual Information Seeking Mantra. In: Proc. IEEE Symposium Visual Languages, 1996.

Kerstin Diwisch | Towards a holistic visualization management for knowledge graphs

Technology

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