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 proceedings.
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 interoperability 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 Scienti c 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 di erent interoperability issues in syntatic, schematic and semantic level as well as in terms of multilinguality (language barriers). 2
Sem4Tra: International Workshop on Semantics for Transport This was the rst instalment of the Sem4Tra workshop co-located with SEMANTiCS 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 services, and the interoperability between business applications is currently limited due to the fragmentation and incompatibility of interchange formats and protocols both within and across transport sectors.
The technology known as RDF, Linked Data and the Semantic Web, proposes a framework to discuss the semantics of terms in a decentralized fashion on web-scale. As MaaS is decentralized by de nition, the Sem4Tra workshop targets researchers and practitioners that are contributing to transform the transportation sector by proposing new semantic-based solutions to achieve the MaaS objectives. 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 ve papers: two position papers and three demo papers. The articles tackle open problems and techniques about the management and interoperability of transport 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). Organizing Committee: AMAR { Lucie-Aimee Ka ee, University of Southampton, UK & TIB Leibniz Information Centre for Science and Technology, Germany { Kemele M. Endris, L3S Research Center, Germany & TIB Leibniz Information Centre for Science and Technology, Germany { Maria-Esther Vidal, TIB Leibniz Information Centre for Science and Technology, Germany Organizing Committee: Sem4Tra { Marco Comerio, CEFRIEL { Mersedeh Sadeghi, Politecnico di Milano { David Chaves-Fraga, Ontology Engineering Group, Universidad Politecnica 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 Politecnica de Madrid { Jeremy Debattista, Trinity College Dublin { Alokkumar Jha, Insight centre for data analytics { Diego Collarana, Enterprise Information System (EIS) { Javier D. Fernandez, 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 Politecnica de Madrid { Julia Bosque-Gil, Universidad Politcnica de Madrid { Lydia Pintscher, Wikimedia Deutschland Programme Committee: Sem4Tra { Alessio Carenini, CEFRIEL { Freddy Priyatna, Universidad Politecnica de Madrid { Guido Di Pasquale, International Association of Public Transport (UITP) { Irene Celino, CEFRIEL { Joshua Shinavier, Uber { Julian Rojas, Ghent University - imec { Letizia Tanca, Politecnico di Milano { Luis Criado, Consorcio Regional de Transportes de Madrid { Mario Scrocca, CEFRIEL { Matteo Giovanni Rossi, Politecnico di Milano { Oscar Corcho, Universidad Politecnica de Madrid { Riccardo Santoro, Ferrovie dello Stato Italiane { Ruben Taelman, Ghent University - imec { Ted Guild, W3C