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https://ceur-ws.org/Vol-2038/preface.pdf
Preface
This joint volume contains papers from the 1st International Workshop on Tem-
poral Dynamics in Digital Libraries (TDDL 2017), the (Meta)-Data Quality
Workshop (MDQual 2017), and the Workshop on Modeling Societal Future (FU-
TURITY 2017) held on September 21st and co-located with the 21st Interna-
tional Conference on Theory and Practice of Digital Libraries (TPDL 2017) in
Grand Hotel Palace, Thessaloniki, Greece.
TDDL 2017: Temporal Dynamics in Digital Libraries
In Digital Libraries, which can often span several epochs, time is a critical factor.
It is the means by which understanding, searching, and exploring these collec-
tions of data. Temporal dynamics, i.e. time-based patterns and trends, underpin
language usage, entity references, and cultural and economic trends. Users ac-
cessing the information contained in Digital Libraries have to deal with their
partial knowledge of these phenomena (word meaning variation, entity temporal
ambiguity, specific events and time-related trends), as well as their own tem-
poral evolution, i.e. their change in interests, preferences, and goals over time.
Intercepting, representing, and predicting these dynamics is fundamental to the
intelligent information access in Digital Libraries.
The 1st Workshop on Temporal Dynamics in Digital Libraries aimed at bring-
ing together researchers and practitioners from different backgrounds in order to
identify and discuss research trends, challenges, and new opportunities related
to the time-aware intelligent access to Digital Libraries. TDDL 2017 received a
total of 5 long paper submissions, of which 3 were accepted after being reviewed
by 3 members of the program committee. Among the accepted papers, two were
presented at TDDL 2017 and are included in this volume. The workshop also
featured an invited keynote presentation by Prof. Jaap Kamps entitled “Tak-
ing Time Seriously: Diachronic Collections in Digital Libraries”. An extended
abstract describing this presentation is included in this volume.
MDQual 2017: (Meta)-Data Quality Workshop
It is well known that we are rapidly moving towards a data driven world where
all aspects in our everyday lives are data driven. In all domains from healthcare
to retail and finance, data is collected, analysed and used to make decisions,
usually utilizing machine learning techniques. The quality of this data is critical
and directly affects the outcome of all data science related tasks. Moreover,
metadata is used to annotate data and facilitate data organization and retrieval.
Metadata quality also directly affects retrieval and other operations (such as data
integration) and workflows that are metadata driven. Although various metrics
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have been proposed to measure metadata and data quality, in most cases they
are highly subjective and/or domain specific. Moreover, they are directly related
to the intended use of the data, meaning that a dataset could be of high quality
for one use and of low quality for another. In all cases, (meta)data quality has
a tremendous impact on data science related tasks and ultimately in everyday
life.
The (meta)-data quality workshop aimed at exploring the various quality
issues found in people working with both data and metadata across domains.
Hence its objectives was to (a) share and exchange experiences regarding (meta)data
quality, (b) identify patterns in (meta)data quality, (c) share methodologies and
metrics that will help to measure (meta)data quality and (d) share and propose
tools that can be used effectively in improving automatically (meta)data quality.
The workshop received a total of 5 full paper and 2 poster/demo submis-
sions, of which 4 full papers and 1 demo were presented after being reviewed by
3 members of the program committee. The workshop also featured an invited
keynote presentation by Prof. Peter Doorn and Mrs Eleftheria Tsoupra enti-
tled “A Simple Approach to Assessing the FAIRness of Data in Trusted Digital
Repositories”. An extended abstract describing this presentation is included in
this volume.
Futurity 2017: Workshop on Modeling Societal Future
Artificial Intelligence struggles to enrich machines with human-like features,
therefore accessing meaning and sharing it with computers is one of the main
challenges that the computational linguistics domain faces nowadays. While still
far from completely decoding hidden messages in political speeches, computer
scientists, language engineers and linguists have joined efforts in making the
language more machine-understandable. In order to teach computers to under-
stand and predict human behavior, language models need to be specified and cre-
ated from human knowledge. Building machine-readable knowledge bases takes
a huge amount of time and resources, both financial and human (trained ex-
perts). Since today we found ourselves in an era in which software learns from
its users and all of the users are connected, this workshop intends to discuss
natural language processing applications which explore the web (with a special
emphasis on the social web) in new and innovative ways, in order to extract
the wisdom of crowds captured within. With such knowledge extraction appli-
cations, dynamically created for different user types, contexts or time frames, a
gap will be filled between where we are now and where we could be in artifi-
cial intelligence: an era when computers are engaged in intellectual cooperation
(with humans, or even more futuristic, with each other) in order to foster cre-
ativity, innovation and inventiveness. The specific aim of FUTURITY-2017 is
to establish a consolidated community of internationally appreciated language
technology practitioners from different backgrounds, with interests in real-life
applications, bridging the gap between research and innovation in order to make
sense of crowdsourced knowledge and foreseen future societal challenges. Taking
III
advantage of this huge knowledge repository, and the new search and extraction
methods, the scientific program of FUTURITY-2017 invites papers focusing on
the following (and related) topics:
– Modeling search to extract knowledge from social web;
– Collaborative and interactive search;
– Conversational search interaction;
– Community behavioral analysis;
– Intelligent personal assistants;
– Semantic search;
– Extracting and mining forum data
– Social media and linked data methodologies in real-life scenarios
– Collaborative tools and services for citizens, organizations, communities;
– Diversity and aggregated search
– Creating and using structured social media-based resources through social
web mining;
– Exploring crowdsourcing and user communities;
– Strategic early warning systems and detection of week signals;
– Using the social web to foster innovation;
– Exploring the digital cultural heritage;
– Interaction with the web as a mental, social and physical extension of people.
For the FUTURITY-2017 workshop, we received 8 submissions through the
Easychair submission platform, out of which 5 were accepted for presentation at
the workshop and publication in this proceedings. Each of the submitted papers
was thoroughly reviewed by two Program Committee members, experts in the
topics of the workshop. All papers emphasize innovative approaches addressing
the following topics:
– Reviewers Classification in an Online Community of Romanian Tourists by
Mihaela Colhon, Costin Bădică
– Developing a Technology Allowing (Semi-) automatic Interpretative Tran-
scription by Daniela Gı̂fu, Mihaela Onofrei
– Neutrosophy, Method of Uncertainties Process Analysis by Florentin Smaran-
dache, Mirela Teodorescu
– How can we reconstruct stories based on memories? by Andreea Macovei,
Diana Trandabăţ
– Assistive technology in stock market decision making by Radu A. Ciora,
Carmen M. Simion and Marius Cioca.
Acknowledgements
TDDL workshop was supported by the European Unions Horizon 2020 research
and innovation programme under the Marie Skodowska-Curie grant agreement
No 713567 and by the ADAPT Centre for Digital Content Technology, which
is funded under the Science Foundation Ireland Research Centres Programme
IV
(Grant 13/RC/2106) and is co-funded under the European Regional Develop-
ment Fund. FUTURITY workshop was supported by a grant of the Romanian
National Authority for Scientific Research and Innovation, CNCS/CCCDI UE-
FISCDI, project number PN-III-P2-2.1-BG-2016-0390, contract 126BG/2016,
within PNCDI III funding program.
Many people contributed to the success of this event, and we express our
sincere thanks to all of them. The program committee, made up of international
experts in the area of information retrieval, natural language processing, social
media and linked data, spent time carefully reviewing all the proposals submitted
to TDDL, MDQual, and FUTURITY 2017 to insure a qualitative improvement
of the papers. The members of the Organizing Committee have enthusiastically
assured the settings were appropriate for scientific networking. See you next
edition!
January 2018 Annalina Caputo
Nattiya Kanhabua
Pierpaolo Basile
Séamus Lawless
Dimitris Gavrilis
Christos Papatheodorou
Daniela Gı̂fu
Diana Trandabat
Program Commitees
Workshop on Temporal Dynamics in Digital Libraries
Ingo Frommholz School of Computer Science and Technology, Univer-
sity of Bedfordshire
Ted Underwood University of Illinois, Urbana-Champaign
Michele Filannino SUNY @ Albany and MIT Clinical Decision Making
group
Adam Jatowt Kyoto University
Wolfgang Nejdl L3S Research Center, Hannover
Kjetil Nørvåg Norwegian University of Science and Technology
Thomas Risse L3S Research Center, Hannover
Rachele Sprugnoli Digital Humanities at Fondazione Bruno Kessler
(FBK)
(Meta)-Data Quality Workshop
Trond Aalberg NTNU, Norway
Amir Aryani Australian National Data Service, Australia
Donatella Castelli CNR, Italy
Valentine Charles Europeana Foundation, The Netherlands
Peter Doorn Data Archiving and Networked Services, The Nether-
lands
Pythagoras Karampiperis Agroknow, Greece
Laurent Romary French Institute for Research in Computer Science and
Automation, France
Timos Sellis Swinburne University of Technology, Australia
Giannis Tsakonas University of Patras, Greece
Michalis Sfakakis Ionian University, Greece
VI
Workshop on Modeling Societal Future
Nuria Bel Universitat Pompeu Fabra, Barcelona, Spain
Costin Bădică University of Craiova, Romania
Mihaela Colhon University of Craiova, Romania
Dan Cristea “Alexadru Ioan Cuza” University of Iasi, Romania
Thierry Declerck Universitat des Saarlandes, Saarbrucken, Germany
Daniela Gı̂fu “Alexandru Ioan Cuza” University of Iasi, Romania &
Romanian Academy - Iasi branch
Radu Ion Microsoft Ireland
Gerard de Melo Tsinghua University, Beijing, China
Rada Mihalcea University of Michigan, USA
Vivi Nastase Fondazione Bruno Kessler, Trento, Italy
Octavian Popescu IBM Research, USA
Dan Stefanescu Vantage Labs, USA
Diana Trandabat “Alexandru Ioan Cuza” University of Iasi, Romania
Dan Tufis Romanian Academy, Research Institute for Artificial
Intelligence Mihai Draganescu, Romania
Michael Zock Aix-Marseille Universié, France