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{{Paper
|id=Vol-2512/xpreface
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|pdfUrl=https://ceur-ws.org/Vol-2512/xpreface.pdf
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<pdf width="1500px">https://ceur-ws.org/Vol-2512/xpreface.pdf</pdf>
<pre>
          Preface of the Workshop Organizers
    The First International Workshop on “Challenges and Experiences from Data
Integration to Knowledge Graphs” (DI2KG 2019) hosted cross-disciplinary con-
tributions on data integration and knowledge graph construction. Such complex
processes have been studied by different communities, including data manage-
ment, machine learning, statistics, data science, natural language processing and
information retrieval, typically in isolation. As holistic solutions are emerging,
we claim the need for a more cross-disciplinary community that pushes research
toward the creation of the next generation of methods. In order to stimulate
advances in this direction we have also hosted the DI2KG challenge, a set of fun-
damental integration tasks leading to the construction of a knowledge graph of
product specifications extracted from the Web with their own manually-checked
ground truth. The workshop encouraged multi-disciplinary submissions on a
broad spectrum of topics: source selection and discovery, data and information
extraction, data cleaning and fusion, schema extraction and alignment, algorith-
mic and statistical techniques for entity resolution, machine learning methods
for data integration, benchmarking and performance measurement, knowledge
graph augmentation and embedding. The submitted papers underwent a zero-
blind review process and were evaluated on the basis of originality, relevance,
quality, and technical contribution. Authors of accepted papers took into ac-
count the feedback received at the workshop for preparing their camera ready.
The workshop attendance included more than 60 registered delegates, both from
industry and academia, with geographical, gender and seniority diversity. The
workshop program featured 2 invited talks (AnHai Doan and Andrew McCal-
lum), a panel with 4 speakers (AnHai Doan, Renée Miller, Luna Dong, and
Andrew McCallum) moderated by Paolo Merialdo and presentation of 7 papers,
including the benchmark challenge winner. The detailed workshop program is
available on-line at http://di2kg.dia.uniroma3.it. We believe that future
editions of DI2KG will foster new research on holistic data integration methods
leading to the construction of knowledge graphs, while building a community
that can contribute to the evolution of the benchmark for the DI2KG challenge.
    We are indebted to the members of the program committee for their metic-
ulous work in the selection process: Denilson Barbosa, Valter Crescenzi, Xin
Luna Dong, Laura Haas, Colin Lockard, Paolo Merialdo, Renée Miller, Mourad
Ouzzani, and Themis Palpanas. Finally, we would like to thank the authors
who submitted their work to this workshop and all the challenge and workshop
participants who contributed to the success of the event.
November 2019                                                 Donatella Firmani
                                                                Valter Crescenzi
                                                              Andrea De Angelis
                                                                Xin Luna Dong
                                                                Maurizio Mazzei
                                                                 Paolo Merialdo
                                                               Divesh Srivastava

</pre>