WebDB 2018: International Workshop on the Web and Databases 2018 |
Website | http://webdb2018.eurecom.fr |
Submission link | https://easychair.org/conferences/?conf=webdb2018 |
Abstract registration deadline | February 25, 2018 |
Submission deadline | February 25, 2018 |
The Web is an ever-evolving source of information, with data and knowledge derived from the Web powering a great range of modern applications. Accompanying the huge wealth of information, Web data also introduces numerous challenges due to its size, diversity, volatility, inaccuracy, and contradictions. WebDB, first held in 1998, provides a forum for researchers, theoreticians, and practitioners to share and promote insights, ideas, and novel research directions for the management of Web data. It covers a broad range of topics, including the extraction of knowledge from the Web, the transformation, generation, dissemination, and exchange of Web data, functionality pertaining to interfaces and applications, and many others.
We aim to bring together the research efforts from both the academia and industry, and we solicit papers on a broad range of research topics, types and methodologies in computer science, such as on applications and tools, systems, user experience and interface, and theoretical foundations and/or analysis.
WebDB has taken place twenty times already, has had a high impact, and has published and provided the forum for a substantial amount of seminal research.
Submission Guidelines
Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Papers must follow the ACM Proceedings Format, using one of the templates provided from the ACM Web site for Word and LaTeX2e. The font size, margins, inter-column spacing, and line spacing in the templates must be kept unchanged. Submissions are handled through EasyChair.
Papers submitted cannot exceed six pages in length, including reference and appendix.
List of Topics
This year's theme, Web data for ML - ML for Web data, emphasizes the cross-disciplinary challenges and opportunities that arise with Web data. On one hand, a large portion of Web data fuels ML, with novel applications such as predictive analytics, Q\A chat bots, and content generation. On the other hand, the new wave of ML technology found its way into traditional Web data challenges, with contributions such as web data extraction with deep learning, data cleaning, and even using ML to optimize data processing pipelines. Submissions relevant to the theme are particularly encouraged, but WebDB will also publish works more generally pertaining to Web data management.
Examples of topics relevant to the workshop include the following:
- Machine Learning and Web Data: Predictive Analytics, Optimizing Performance of WebDB systemswith ML, Integrating Web Data into ML platforms, Novel ML-fueled Applications such as Q/A Chat Bots, ML for Data Cleaning, Content Generation and Fact Checking, Deep Learning for Data Extraction.
- Crowdsourcing: Human Computation, Human-in-the-Loop systems, Mining Crowd-generated Data
- Search: Data, Query and IR models; Interactive Querying; Searching Semi-structured, Text, Semantic Databases, Social Networks and Tags, Geo-temporal data, Multimedia and Multimodal Data.
- Economics: Economics of Cloud-computing Systems and Data Markets, Smart Contracts for Online Transactions.
- Mining and Content Analysis: Information Extraction, Data Cleaning and Integration, Knowledge Base Construction, Provenance and Corroboration.
- Society, Privacy, Security: Ephemeral Data Systems, Web Data Fairness, Diversity and Trans-parency, Fact Checking and Source Filtering.
- Applications: Data-centric Applications, DB Support for Social Network and Web 2.0 Applications, Services-based Applications, Event Detection and Monitoring, Recommendation Systems, and othernovel applications.
- Systems and Infrastructure: Cloud Computing, Distributed Computing and Web Data Management.
Committees
Program Committee
- Matthias Boehm (IBM, USA)
- Angela Bonifati (Lyon 1 University, France)
- Fei Chiang (McMaster University, Canada)
- Xu Chu (GeorgiaTech, USA)
- Valter Crescenzi (Università degli Studi Roma Tre, Italy)
- Marina Danilevsky (IBM, USA)
- Luis Galárraga (Inria, France)
- Wolfgang Gatterbauer (Carnegie Mellon University, USA)
- Wendy H. Wang (Stevens Institute of Technology, USA)
- Yaron Kanza (Technion, Israel & Jacobs Technion-Cornell Institute, USA)
- Guoliang Li (Tsinghua University, China)
- Jignesh M. Patel (University of Wisconsin, USA)
- Ioana Manolescu (INRIA Saclay, France)
- Amelie Marian (Rutgers University, USA)
- Felix Naumann (HPI, Germany)
- Kun Qian (IBM, USA)
- Theo Rekatsinas (University of Wisconsin, USA)
- Sudip Roy (Google, USA)
- Semih Salihoglu (University of Waterloo, Canada)
- Vasilis Vassalos (Athens University of Economics and Business, Greece)
- Yannis Velegrakis (University of Trento, Italy)
- Jiannan Wang (Simon Fraser University, Canada)
- Jun Yang (Duke University, USA)
Organizing committee
- Azza Abouzied (NYU Abu Dhabi, UAE)
- Paolo Papotti (Eurecom, France)
Contact
All questions about submissions should be emailed to the workshop chairs (azza@nyu.edu or papotti@eurecom.fr)