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Preface
Lucie-Aimee Kaffee1,2 , Kemele M. Endris2,3 , Maria-Esther Vidal2 ,
Marco Comerio4 , Mersedeh Sadeghi5 , David Chaves-Fraga6 , and Pieter
Colpaert7
1
University of Southampton, UK
2
TIB Leibniz Information Centre for Science and Technology, Germany
3
L3S Research Center, Germany
4
Cefriel - Politecnico di Milano
5
Politecnico di Milano
6
Ontology Engineering Group, Universidad Politécnica de Madrid, Spain
7
IDLab, Dept of Electronics and Information Systems, Ghent University – imec
This volumne presents the proceedings of the 1st International Workshop
on Approaches for Making Data Interoperable (AMAR 2019) and 1st
International Workshop on Semantics for Transport (Sem4Tra) held in
Karlsruhe, Germany, September 9, 2019, co-located with SEMANTiCS 2019.
Interoperability of data is an important factor to make transportation data
accessible, therefore we present the topics alongside each other in this proceed-
ings.
1 AMAR: International Workshop on Approaches for
Making Data Interoperable
This was the first instalment of the AMAR workshop co-located with SEMAN-
TiCS 2019. AMAR focuses on interoperability of data and its multilinguality.
Recently, there has been a rapid growth in the amount of data available on the
Web. Data is produced by different communities working in a wide range of
domains, using several techniques. This way a large volume of data in different
formats and languages is generated. Accessibility of such heterogeneous and mul-
tilingual data becomes an obstacle for reuse due to the incompatibility of data
formats and the language gap. This incompatibility of data formats impedes the
accessibility of data sources to the right community. For instance, most of open
domain question answering systems are developed to be effective when data is
represented in RDF. They can not operate with data in the very common CSV
files or presented in unstructured formats. Usually, the data they draw from is
in English rendering them unable to answer questions e.g. in Spanish. On the
other hand, NLP applications in Spanish cannot make use of a knowledge graph
in English. Different communities have different requirements in terms of data
representation and modeling. It is crucial to make the data interoperable to make
it accessible for a variety of applications.
Copyright c 2019 for this paper by its authors. Use permitted under Creative Com-
mons License Attribution 4.0 International (CC BY 4.0).
2 AMAR2019 & Sem4Tra2019
The articles included in this volume went through a peer-review process
where each submission was reviewed by at least three reviewers. We accepted
three research papers. The articles tackle open problems and techniques for inter-
operability issues in data such as in research data management, quality issues in
mapping rules, and access methods. The workshop program included a keynote
talk by Prof. Dr. Maria-Esther Vidal, head of Scientific Data Management lab at
the Leibniz Information Centre For Science and Technology University Library
(TIB), Germany, and a full professor (on-leave) at Universidad Simn Bolvar
(USB), Venezuela. Additionally, a panel discussion on different interoperability
issues in syntatic, schematic and semantic level as well as in terms of multilin-
guality (language barriers).
2 Sem4Tra: International Workshop on Semantics for
Transport
This was the first instalment of the Sem4Tra workshop co-located with SE-
MANTiCS 2019. It is focused on the application of semantic technologies over
the transport domain and its heterogeneous data, with a particular focus on how
these technologies could facilitate the Mobility-as-a-Service (MaaS) paradigm.
The MaaS paradigm consists in the integration of various forms of transport
services into a single mobility service. The goal is to provide a traveler with the
service needed for a door-to-door travel under a single payment whilst integrating
disparate modes of mobility (public transport, car- or bike-sharing, taxi/car
rental, or a combination thereof) under one travel experience.
After years of conceptualization and strategizing, MaaS is becoming a present
reality rather than a future goal. However, many challenges remain unanswered.
The development of multimodal travel information, planning and booking ser-
vices, and the interoperability between business applications is currently limited
due to the fragmentation and incompatibility of interchange formats and proto-
cols both within and across transport sectors.
The technology known as RDF, Linked Data and the Semantic Web, pro-
poses a framework to discuss the semantics of terms in a decentralized fashion on
web-scale. As MaaS is decentralized by definition, the Sem4Tra workshop targets
researchers and practitioners that are contributing to transform the transporta-
tion sector by proposing new semantic-based solutions to achieve the MaaS ob-
jectives. Moreover, Sem4Tra is an opportunity for disseminating and discussing
use cases and studies showing the application of semantic technologies in the
Transport domain to tackle the above-mentioned challenges.
The articles included in this volume went through a peer-review process
where each submission was reviewed by at least two reviewers. We accepted five
papers: two position papers and three demo papers. The articles tackle open
problems and techniques about the management and interoperability of trans-
port data using semantic web technologies. The workshop program included a
keynote from Riccardo Santoro, the Head of Innovation Programmes at Ferrovie
dello Stato Italiane (Trenitalia).
Preface 3
Organizing Committee: AMAR
– Lucie-Aimée Kaffee, University of Southampton, UK & TIB Leibniz Infor-
mation Centre for Science and Technology, Germany
– Kemele M. Endris, L3S Research Center, Germany & TIB Leibniz Informa-
tion Centre for Science and Technology, Germany
– Maria-Esther Vidal, TIB Leibniz Information Centre for Science and Tech-
nology, Germany
Organizing Committee: Sem4Tra
– Marco Comerio, CEFRIEL
– Mersedeh Sadeghi, Politecnico di Milano
– David Chaves-Fraga, Ontology Engineering Group, Universidad Politécnica
de Madrid
– Pieter Colpaert, IDLab, Dept of Electronics and Information Systems, Ghent
University
Programme Committee: AMAR
– Maribel Acosta, Karlsruhe Institute of Technology
– David Chaves-Fraga, Universidad Politécnica de Madrid
– Jeremy Debattista, Trinity College Dublin
– Alokkumar Jha, Insight centre for data analytics
– Diego Collarana, Enterprise Information System (EIS)
– Javier D. Fernández, Vienna University of Economics and Business
– Jose M. Gimenez-Garcia, Universite Jean-Monnet
– Amrapali Zaveri, Maastricht University
– Irlan Grangel, Bosch Corporate Research
– Elena Demidova, L3S Research Center
– Manolis Koubarakis, National and Kapodistrian University of Athens
– Elena Montiel-Ponsoda, Universidad Politécnica de Madrid
– Julia Bosque-Gil, Universidad Politcnica de Madrid
– Lydia Pintscher, Wikimedia Deutschland
Programme Committee: Sem4Tra
– Alessio Carenini, CEFRIEL
– Freddy Priyatna, Universidad Politécnica de Madrid
– Guido Di Pasquale, International Association of Public Transport (UITP)
– Irene Celino, CEFRIEL
– Joshua Shinavier, Uber
– Julián Rojas, Ghent University - imec
– Letizia Tanca, Politecnico di Milano
4 AMAR2019 & Sem4Tra2019
– Luis Criado, Consorcio Regional de Transportes de Madrid
– Mario Scrocca, CEFRIEL
– Matteo Giovanni Rossi, Politecnico di Milano
– Oscar Corcho, Universidad Politécnica de Madrid
– Riccardo Santoro, Ferrovie dello Stato Italiane
– Ruben Taelman, Ghent University - imec
– Ted Guild, W3C