[CfP] Deadline extension: AMAR 2019 1st International Workshop on Approaches for Making Data Interoperable

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Call For Research Papers
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1st International Workshop on Approaches for Making Data Interoperable
(AMAR 2019)
https://events.tib.eu/amar2019/
co-located with SEMANTiCS 2019
September 09 – 12, 2019 Karlsruhe, Germany


Extended Submission deadline: July 16, 2019
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Overview
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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 multilingual 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 cannot 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.


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Topics of Interest
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We invite paper submissions from two communities: (i) data consumers and
(ii) data providers. This includes practitioners, such as
data scientists, that have experience in fitting the data available to
their use case; Semantic Web researchers, that have been
investigating data reuse from heterogeneous data in tools; researchers in
the field of data linking and translation; and other
researchers working on the general field of data integration.
We invite submissions from the following communities:
* Data Integration
* Multilingual Data
* Data Linking
* Ontology and Knowledge Engineering
We welcome original contributions about all topics related to data
interoperability, including but not limited to:
* Approaches to convert data between formats, languages, and schema
* Best practices for processing heterogeneous data
* Translation of different language data
* Cross-lingual applications
* Recommendations for language modeling in linked data
* Labeling of data with natural language information
* Datasets for different communities’ data needs
* Tools reusing different data formats
* Converting datasets between different formats
* Applications in different domains, e.g., Life Sciences, Scholarly,
Industry 4.0, Humanities
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Author Instructions
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Paper submission this workshop will be via EasyChair (
https://easychair.org/conferences/?conf=amar2019). The papers should follow
the Springer LNCS format, and be submitted in PDF on or before July 9, 2019
(midnight Hawaii time).
We accept papers of the following formats:
* Full research papers (8 - 12 pages)
* Short research papers (3 - 5 pages)
* Position papers (6 - 8 pages)
* Resource papers (8 - 12 pages, including the publication of the dataset)
* In-Use papers (6 - 8 pages)
Accepted papers will be published as CEUR workshop proceedings. We target
the creation of a special issue including the best
papers of the workshop.
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Important Dates
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Extended Submission: July 16, 2019
Notification: July 30, 2019
Workshop: September 9, 2019
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Workshop Organizers
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Lucie-Aimée Kaffee, University of Southampton, UK & TIB Leibniz Information
Centre for Science and Technology, Hannover, Germany
Kemele M. Endris, TIB Leibniz Information Centre for Science and
Technology, L3S Research Centre University of Hannover, Germany
Maria-Esther Vidal, TIB Leibniz Information Centre for Science and
Technology, L3S Research Centre University of Hannover, Germany

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Program Committe
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Jeremy Debattista, Trinity College Dublin
Irlan Grangel, Bosch Corporate Research
Lydia Pintscher, Wikimedia Deutschland (Wikidata)
Alokkumar Jha, Insight Centre for Data Analytics
Amrapali Zaveri, Maastricht University
Maribel Acosta, Karlsruhe Institute of Technology
Manolis Koubarakis, National and Kapodistrian University of Athens
Elena Montiel Ponsoda, Universidad Politécnica de Madrid
Javier D. Fernández, Vienna University of Economics and Business
Diego Collarana, Enterprise Information System (EIS)
Elena Demidova, L3S Research Center
David Chaves Fraga, Universidad Politécnica de Madrid
Jose M. Gimenez Garcia, Universite Jean-Monnet
Julia Bosque Gil, Universidad Politécnica de Madrid

Please contact us, if you have any questions