Table Of ContentMarco X. Bornschlegl
Felix C. Engel
Raymond Bond
Matthias L. Hemmje (Eds.)
Advanced Visual
4
8
0 Interfaces
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1
S
C
N Supporting Big Data Applications
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AVI 2016 Workshop, AVI-BDA 2016
Bari, Italy, June 7–10, 2016
Revised Selected Papers
123
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Marco X. Bornschlegl Felix C. Engel
(cid:129)
Raymond Bond Matthias L. Hemmje (Eds.)
(cid:129)
Advanced Visual Interfaces
Supporting Big Data Applications
AVI 2016 Workshop, AVI-BDA 2016
–
Bari, Italy, June 7 10, 2016
Revised Selected Papers
123
Editors
MarcoX.Bornschlegl RaymondBond
Faculty of Mathematics andComputer Schoolof Computing andMathematics
Science Ulster University
University of Hagen Newtownabbey, Antrim
Hagen UK
Germany
Matthias L.Hemmje
Felix C. Engel Faculty of Mathematics andComputer
Faculty of Mathematics andComputer Science
Science University of Hagen
University of Hagen Hagen
Hagen Germany
Germany
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
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Preface
Thisvolumecontainsthefullpaperspresented,discussed,extended,andrevisedinthe
context of the 13th Conference on Advanced Visual Interfaces (AVI) 2016 during the
Workshop on Road Mapping Infrastructures for Advanced Visual Interfaces Sup-
porting Big Data Applications in Virtual Research Environments held on June 7 in
Bari, Italy.
The workshop initializing the work was organized by a collaboration of my fellow
colleagues,MarcoXaverBornschlegl,UniversityofHagen,Germany,TizianaCatarci,
La Sapienza – Università di Roma, Italy, Andrea Manieri, Engineering Ingegneria
InformaticaSPA,Italy,PaulWalsh,CorkInstituteofTechnology,Ireland,andmyself
in my capacity as Chair of Multimedia and Internet Applications at the Faculty of
Mathematics and Computer Science at the University of Hagen. The workshop was
produced in the context of the EDISON project that has received funding from the
European Union’s Horizon 2020 research and innovation program under grant
agreementNo.675419.However,thisworkshopreflectsonlytheauthor’sviewandthe
European Commission is not responsible for any use that may be made of the infor-
mation it contains.
Handlingthecomplexityofrelevantdatarequiresnewtechniquesaboutdataaccess,
visualization, perception, and interaction for supporting innovative and successful
information strategies. In order to address human–computer interaction, cognitive
efficiency, and interoperability problems, a generic information visualization, user
empowerment, as well as service integration and mediation approach based on the
existingstateoftheartintherelevantareasofcomputerscienceaswellasestablished
open ICT industry standards has to be achieved.
Therefore, this workshop has addressed these issues with a special focus on sup-
porting distributed big data analysis in virtual research environments (VREs). In this
way, the purpose of this research road-mapping workshop was threefold. Firstly, it
aimed at consolidating information, technical details, and research directions from the
diverse range of academic and industrial R&D projects currently available. Secondly,
based on visions offuture infrastructures, gaps in the current state-of-the-art reference
modelsweredeterminedandthirdly,anewreferencemodelwasderivedandvalidated.
Toachievetheseaimstheworkshopbroughttogetherresearchersandpractitionerswho
are able to contribute to and aid in the research road-mapping, in the deriving and
validatingofacorrespondingreferencemodel,andinsupportingacorrespondingsetof
publicationsbasedontheirworkaswellasonareflectionoftheirownworkalongthe
road-mapping results represented by means of the derived reference model for the
target infrastructure. The results of this road-mapping activity and the corresponding
reference model can be used to inform, influence, and disseminate ideas to the wider
research community.
In consequence, the Call for Papers of the workshop invited contributions from
academic and industrial researchers and practitioners working in the area of big data
VI Preface
visualization. The ten initial submissions of position papers from five different coun-
tries were carefully reviewed by at least three Program Committee members.
Basedonsubmittedpositionpapersandexistingresearch,theworkshopoutlinedthe
current baseline of infrastructures for advanced visual user interfaces supporting big
dataapplicationsinVREs.Furthermore,itoutlinedresearchgapsthatneedtobefilled
for achieving the targeted research and development ambitions. Achievement of the
goal of the workshop was supported by the presentation and discussion of research
aiming at delivering advanced visual user interfaces for VREs, e.g., supporting
researchers and organizations in applying and maintaining distributed (spatially,
physically, as well as potentially cross-organizational and cross-domain) research
resourcesforbigdataanalysis.Theseadvancedvisualuserinterfacescan,e.g.,provide
a basis for managing access to VRE features and services through open standards and
they can be materialized through an open architecture and components derived from
state-of-the-art research results being able to deal with big data resources and services
at scale. In this way, the resulting research road-mapping and the corresponding
derivedreferencemodelcanpavethewaytowardcollaboratingonthedevelopmentof
a visual user interface tool suite supporting VRE platforms that can host big data
analysisandcorrespondingresearchactivitiessharingdistributedresearchresourcesby
adopting common existing open standards for access, analysis, and visualization.
Thereby, this research road-mapping and corresponding validated reference model
helps realizing a ubiquitous collaborative workspace for researchers, which is able to
facilitate the research process and its big data analysis applications.
The workshopwas performed during a full day and was structured infour sessions
to provide maximum time for group discussion and brainstorming. In the first session
the participants briefly introduced themselves with short five-minute talks. Following
this, the workshop presented a series of invited industry and eScience-infrastructure
research community perspectives. In the third session, a gap analysis and validation
werecompletedonthebasisofeachresearchdomainperspectivepresentedandonthe
basis of the derived reference model. In the fourth session the group summarized the
gaps and set forth the timeline and areas for completing their corresponding full
publicationsinordertoreflectthegapsandfullyvalidatethederivedreferencemodel.
The workshop ended with a detailed discussion to define immediate next steps for
completingthecorrespondingvalidationofthereferencemodelbasedontransforming
the initial position papers into full publications capturing the results of the
road-mapping discussions in the workshop. In addition, comments of several external
reviewers for these full publications of the workshop outcome were also sought.
I would like to thank all the authors for contributing high-quality research position
papers totheworkshopandfullpapers aswellasfortherevisionsofthesefullpapers
after an additional review to establish the content for these proceedings. I would also
like to express my sincere thanks to the Organizing and Program Committee, to the
membersofmyEditorialBoard,aswellasthealltheadditionalexternalreviewersfor
reviewing the papers within a very short period of time. We also thank Springer for
publishing the proceedings in the Lecture Notes in Computer Science series.
September 2016 Matthias L. Hemmje
Organization
Organization Committee
Marco Xaver Bornschlegl University of Hagen, Germany
Tiziana Catarci La Sapienza – Università di Roma, Italy
Matthias L. Hemmje University of Hagen, Germany
Andrea Manieri Engineering Ingegneria Informatica SPA, Italy
Paul Walsh Cork Institute of Technology, Ireland
Program Committee
Themis Athanassiadou EGI.eu, The Netherlands
Adam Belloum University of Amsterdam, The Netherlands
Marco Xaver Bornschlegl University of Hagen, Germany
Paolo Buono Università degli Studi di Bari, Italy
Tiziana Catarci Università di Roma, Italy
Maria Francesca Costabile Università degli Studi di Bari, Italy
Matthias L. Hemmje University of Hagen, Germany
Boro Jakimovski Ss. Cyril and Methodius University in Skopje,
R. Macedonia
Michael Kaufmann Lucerne University of Applied Sciences and Arts,
Switzerland
Andrea Manieri Engineering Ingegneria Informatica SPA, Italy
Massimo Mecella Università di Roma, Italy
Ruben Riestra Groupo INMARK, Spain
Paul Walsh Cork Institute of Technology, Ireland
Tomasz Wiktorski University of Stavanger, Norway
Huiru Zheng University of Ulster, UK
Additional Reviewers
Andrew Cairns Ulster University, UK
Brian Davis NUI Galway, Ireland
Julie Doyle Dundalk Institute of Technology, Ireland
Stephen Gallagher Ulster University, UK
Alfie Keary Cork Institute of Technology, Ireland
Jun Liu Ulster University, UK
Paul McCullagh Ulster University, UK
Maurice Mulvenna Ulster University, UK
VIII Organization
Chris Porter University of Malta, Malta
Gavin Robert Sim University of Central Lancashire, UK
Haiying Wang Ulster University, UK
Mathieu Zen Université Catholique de Louvain, France
Contents
IVIS4BigData: A Reference Model for Advanced Visual Interfaces
Supporting Big Data Analysis in Virtual Research Environments . . . . . . . . . 1
Marco X. Bornschlegl, Kevin Berwind, Michael Kaufmann,
Felix C. Engel, Paul Walsh, Matthias L. Hemmje, and Ruben Riestra
Engineering Study of Tidal Stream Renewable Energy Generation
and Visualization: Issues of Process Modelling and Implementation . . . . . . . 19
John Harrison and James Uhomobhi
Cost Effective Visualization of Research Data for Cognitive Development
Using Mobile Augmented Reality. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Clement Onime and James Uhomobhi
Visualizing Next-Generation Sequencing Cancer Data Sets
with Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
Paul Walsh, Brendan Lawlor, Brian Kelly, Timmy Manning,
Timm Heuss, and Markus Leopold
SenseCare: Towards an Experimental Platform for Home-Based,
Visualisation of Emotional States of People with Dementia . . . . . . . . . . . . . 63
Felix Engel, Raymond Bond, Alfie Keary, Maurice Mulvenna,
Paul Walsh, Huiru Zheng, Haiying Wang, Ulrich Kowohl,
and Matthias Hemmje
Toward Interactive Visualization of Results from Domain-Specific
Text Analytics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
Tobias Swoboda, Christian Nawroth, Michael Kaufmann,
and Matthias L. Hemmje
Towards Synchronizing Data Sources and Information Visualization
in Virtual Research Environments. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88
Christian Danowski-Buhren, Marco X. Bornschlegl, Benno Schmidt,
and Matthias L. Hemmje
Visual Analytics and Mining over Big Data. Discussing Some Issues
and Challenges, and Presenting a Few Experiences. . . . . . . . . . . . . . . . . . . 104
Marco Angelini, Tiziana Catarci, Massimo Mecella,
and Giuseppe Santucci
