=Paper=
{{Paper
|id=Vol-1704/summary
|storemode=property
|title=Workshop Summary
|pdfUrl=https://ceur-ws.org/Vol-1704/summary.pdf
|volume=Vol-1704
|authors=Valentina Ivanova,Patrick Lambrix,Steffen Lohmann,Catia Pesquita
|dblpUrl=https://dblp.org/rec/conf/semweb/IvanovaLLP16
}}
==Workshop Summary==
https://ceur-ws.org/Vol-1704/summary.pdf
Workshop Summary
While reading through the papers this year, one topic appeared more often than others—
navigation. Navigation in the physical world is a complex cognitive process; finding
one’s way in a digital environment can be even more challenging, and has its own pecu-
liarities. Navigating an information space is indispensable for understanding its content
and structure, it is an activity accompanying higher-level tasks. Acquiring informa-
tion about the environment—obtaining an overview, identifying objects and anchors or
landmarks as well as relationships between them—is often the first step in an unfamiliar
setting. This leads to devising an internal structure, storing and integrating our prior and
new knowledge in order to plan and execute a task at hand by interacting with the en-
vironment. To facilitate this pursuit, we employ general-purpose visual representations
and interaction techniques or tailor them to a specific information space or application.
Visualizations are targeted to varying user groups, since individuals possess diverse
backgrounds and differ in navigational strategies and abilities; they seek to fulfill dif-
ferent information needs and tasks. Visualizing semantic data introduces an extra tint
to the picture—it provides advanced means to explore an information space but may
increase visualization and interaction complexity.
The workshop program includes a mixture of general and application-tailored works,
most of them implicitly touching the issue of navigation in an information space. They
target user groups with different expertise—lay users, technically-fluent users and users
possessing domain expertise. The first session—Visualization of Domain Ontologies
and Data—takes us through several examples of how semantic techniques facilitate
the exploration of domain-specific datasets. In the ontology realm, extensive navigation
is often in demand to support high-level tasks—developing, modifying, consistency
checking, etc. These topics together with ontology visualization are part of the second
session—Visualization in Ontology Engineering. The next session—Visualization of
SPARQL Queries and Endpoints—focuses on extracting and visualizing schema infor-
mation using SPARQL, and visually navigating and exploring Linked Data endpoints,
while the last session—Visualization in Semantic Annotation—is composed of two talks
presenting approaches for semantic annotation in order to improve navigation and ex-
ploration.
Session I: Visualization of Domain Ontologies and Data
The first session opens the workshop by presenting several application-tailored visu-
alizations supporting the navigation in domain-specific datasets and ontologies. The
first two talks—VIZ–VIVO: Towards Visualizations-driven Linked Data Navigation and
PrEVIEw: Clustering and Visualizing PubmEd using Visual Interface—take us through
a topic familiar to the research community—exploration of scholarly data—, and both
employ concept maps as a representation of choice. While the latter work centers
around the biomedical domain and addresses PubMed data, the former makes use of
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Workshop Summary and Program
a community-driven ontology and it is not limited to a particular domain. Visually ex-
ploring geographical data from multiple heterogeneous sources is the focus of the third
talk—A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of
Data Across Repositories. Staying in the realm of geo data and making a preamble
to the second session, the last talk—Exploring Visualization of Geospatial Ontologies
using Cesium—uses the globe to visualize instances from geospatial ontologies.
Session II: Visualization in Ontology Engineering
The second session is dedicated to the different stages of an ontology life cycle. The first
talk—Starting Ontology Development by Visually Modeling an Example Situation - A
User Study—compares a common approach for ontology development using the Pro-
tégé editor to an alternative workflow—visually developing an ontological background
model of an example situation. The second work—Advanced UML Style Visualization
of OWL Ontologies—brings us back to the familiar topic of ontology visualization,
while the third—Extending Ontology Visualization with Interactive Contextual Ver-
balization—extends visual notations with on-demand verbal descriptions to facilitate
domain experts’ understanding of selected graphical elements. Developing (large) on-
tologies increasingly involves a number of people with different roles and development
styles. The fourth talk—Visualizing User Editing Behavior in Collaborative Ontology-
Engineering Projects—provides means to facilitate the analysis of users’ editing be-
havior in a collaborative setting. Consequently, ontologies are changing, and tools to
explore the modifications are in demand; the last talk—Visualization for Ontology Evo-
lution—surveys existing ontology evolution tools and catalogues their functionalities.
Session III: Visualization of SPARQL Queries and Endpoints
A common step when navigating an information space is acquiring an overview of its
content. By knowing the schema of an endpoint, the users can pose queries to ful-
fil varying information needs. This topic is tackled during the third session. The first
talk—A Visual Aide for Understanding Endpoint Data—establishes three requirements
necessary for providing a visual overview of an endpoint’s schema. The tool that has
been implemented is suitable for SPARQL-fluent users. The next work—LD-VOWL:
Extracting and Visualizing Schema Information for Linked Data Endpoints—adapts the
VOWL notation, suitable for casual users, to present an endpoint’s schema extracted
through a dynamic stepwise approach. While the aforementioned two works employ
node-link diagrams as a representation of the graph metaphor, the third talk—ViziQuer:
Notation and Tool for Data Analysis SPARQL Queries—adapts UML class diagrams
for defining data aggregation queries. These are general approaches which facilitate the
understanding of an endpoint’s structure. Unlike them, the last talk—SQuaRE: a Visual
Support for OBDA Approach—focuses on a particular scenario and provides visual sup-
port for developing mappings between relational databases and ontologies.
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Workshop Summary and Program
Session IV: Visualization in Semantic Annotation
The last session comprises two works which depict the benefits from semantic annota-
tions to the navigation task. The first work—Semantic Annotation and Information Visu-
alization for Blogposts with refer—helps content authors (lay-users) to annotate textual
content in order to facilitate content consumers in discovering background information
and exploring relationships between entities. The second work—Visual Development
& Analysis of Coreference Resolution Systems with CORVIDAE—employs radial dia-
grams to support NLP developers in discovering errors in coreference annotation during
information extraction.
Conclusion
The workshop program is a mixture of works navigating different domains, targeting
diverse user groups and combining various visual metaphors. Some of the authors have
conducted user evaluations to uncover the strengths and weaknesses of their approaches.
More user evaluations are, however, needed to get a better understanding of which (set
of) visual metaphors and representations meet best the requirements of particular user
groups, domains and goals and are thus essential in this area.
October 2016 Valentina Ivanova,
Patrick Lambrix,
Steffen Lohmann,
Catia Pesquita
3
Workshop Summary and Program
Workshop Program
Session I: Visualization of Domain Ontologies and Data
– VIZ-VIVO: Towards visualizations-driven linked data navigation, Muhammad Javed,
Sandy Payette, Jim Blake and Tim Worrall
– PrEVIEw: Clustering and Visualizing PubmEd using Visual Interface, Syeda Sana
E Zainab, Qaiser Mehmood, Durre Zehra, Dietrich Rebholz-Schuhmann and Ali
Hasnain
– A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of
Data Across Repositories, Gengchen Mai, Krzysztof Janowicz, Yingjie Hu and Grant
McKenzie
– Exploring Visualization of Geospatial Ontologies using Cesium, Abhishek Potnis
and Surya Durbha
Session II: Visualization in Ontology Engineering
– Starting Ontology Development by Visually Modeling an Example Situation - A
User Study, Marek Dudáš, Vojtěch Svátek, Miroslav Vacura and Ondřej Zamazal
– Advanced UML Style Visualization of OWL Ontologies, Jūlija Ovčiņņikova and
Kārlis Čerāns
– Extending Ontology Visualization with Interactive Contextual Verbalization, Uldis
Bojārs, Renārs Liepiņš, Normunds Grūzītis, Kārlis Čerāns and Edgars Celms
– Visualizing User Editing Behavior in Collaborative Ontology-Engineering Projects,
Simon Walk, Tania Tudorache and Mark Musen
– Visualization for Ontology Evolution, Patrick Lambrix, Zlatan Dragisic, Valentina
Ivanova and Craig Anslow
Session III: Visualization of SPARQL Queries and Endpoints
– A Visual Aide for Understanding Endpoint Data, Fernando Florenzano, Denis
Parra, Juan L. Reutter and Freddie Venegas
– LD-VOWL: Extracting and Visualizing Schema Information for Linked Data End-
points, Marc Weise, Steffen Lohmann and Florian Haag
– ViziQuer: Notation and Tool for Data Analysis SPARQL Queries, Kārlis Čerāns
and Jūlija Ovčiņņikova
– SQuaRE: a Visual Support for OBDA Approach, Michał Blinkiewicz and Jarosław
Bak
˛
Session IV: Visualization in Semantic Annotation
– Semantic Annotation and Information Visualization for Blogposts with refer, Tabea
Tietz, Joscha Jäger, Jörg Waitelonis and Harald Sack
– Visual Development & Analysis of Coreference Resolution Systems with CORVI-
DAE, Nico Möller and Gunther Heidemann
4