DI2KG: International Workshop on Challenges and Experiences From Data Integration to Knowledge Graphs Anchorage, AK, United States, August 5, 2019 |
Conference website | http://di2kg.inf.uniroma3.it/ |
Submission link | https://easychair.org/conferences/?conf=di2kg |
Abstract registration deadline | May 5, 2019 |
Submission deadline | May 5, 2019 |
DI2KG 2019
First International Workshop On
Challenges and Experiences From Data Integration To Knowledge Graphs
http://di2kg.inf.uniroma3.it/
Held in conjunction with KDD 2019
Anchorage, Alaska
August 5, 2019
Data integration and knowledge graph construction are complex processes that have been studied by different communities, typically in isolation. As more 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 data integration and knowledge graph construction methods.
We aim for DI2KG to be a long-term venue that fosters new research based on the availability of the DI2KG benchmark, an end-to-end benchmark designed up-front for dealing with the complexity of every integration task, while building a community that can contribute to the evolution of the benchmark.
In order to stimulate advances in this direction we organize also the DI2KG CHALLENGE: a set of fundamental integration tasks leading to the construction of a knowledge graph from a collection of product specifications extracted from the Web with their own manually-checked ground truth. We invite researchers and practitioners to participate in our benchmark-supported DI2KG challenge and submit a paper describing their experience on the activities on the benchmark and new insights into the strengths and weaknesses of existing integration systems. The challenge comprises three main tasks:
- Schema alignment
- Record linkage
- Knowledge graph construction
Paper Submission
We strongly encourage thought-provoking papers that fall under the following categories:
- Challenge papers, which provide new insights into the strengths and weaknesses of existing integration systems, inspired by experimental activities on the DI2KG benchmark.
- Position papers, which discuss requirements for a benchmark platform and the role of benchmarks in driving integration research.
- Vision papers, which anticipate new challenges in integration and future research direction.
- Application papers, which describe challenging use cases of modern data integration and knowledge graphs, with a strong economical and social impact component.
- Technical papers, which present advances in topics related to integration.
Topics of interest include but are not limited to the following:
- Source selection and discovery
- Data and information extraction
- Data cleaning and fusion
- Schema extraction and alignment
- Algorithmic and statistical techniques for entity resolution
- Machine learning methods for data integration
- Benchmarking and performance measurement
- Knowledge graph augmentation
- Knowledge graph embedding techniques
Submission Guidelines
Authors can submit papers up to 4 pages of content plus unlimited pages for bibliography, written in English, and in PDF according to the ACM Proceedings Format. Submissions will go through a single-blind review process, and evaluated on the basis of relevance and potential to raise discussion.
Important Dates:
Research Track:
- Paper submissions: May 5, 2019
- Paper notifications: June 1, 2019
Challenge Track:
- DI2KG benchmark publication: April 15, 2019
- Preliminary challenge paper submissions: May 5, 2019
- Paper notifications: June 1, 2019
- Final benchmark results submission: July 10, 2019
Keynote Speakers:
- AnHai Doan, University of Wisconsin
- Andrew McCallum, University of Massachusetts Amherst
Program Chairs:
- Donatella Firmani, Roma Tre University
- Divesh Srivastava, AT&T Labs-Research
Workshop Organizers:
- Valter Crescenzi, Roma Tre University
- Andrea De Angelis, Roma Tre University
- Xin Luna Dong, Amazon
- Donatella Firmani, Roma Tre University
- Maurizio Mazzei, Roma Tre University
- Paolo Merialdo, Roma Tre University
- Divesh Srivastava, AT&T Labs-Research