Conference Information

WebDB 2018: International Workshop on the Web and Databases

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Submission Date:
2018-02-09
Notification Date:
2018-03-14
Conference Date:
2018-06-10
Location:
Houston, Texas, USA
Years:
21
CCF: C   QUALIS: B1   Viewed: 59369   Tracked: 41   Attend: 4

Conference Partner Index (CP-I)

62.8 / 100
Ranked #489 of 5,650 conferences · Top 9%

#25 of 337 in Data Mining & Databases

Academic recognition (35%)
78
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
83
Community attention (10%)
51
Public record completeness (15%)
25

Inputs used: Listed as CCF C, QUALIS B1 · Editions on record: 21 · Researchers following it here: 41 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

WebDB 2018 (International Workshop on the Web and Databases) is a CCF C / QUALIS B1 conference held in Houston, Texas, USA on 2018-06-10. The paper submission deadline is 2018-02-09. Acceptance notifications are sent on 2018-03-14.

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. The theme of this year's workshop is Web data for ML - ML for Web data. This theme 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.
Last updated by Shuang Li on

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