It is our pleasure to share with you the proceedings of SIGMOD 2018, the 44th ACM SIGMOD International Conference on Management of Data, in Houston, Texas. For many people, the words 'Houston, Texas' conjure up images of cowboy hats and oil rigs. This is not without reason. More than 20 Fortune 500 oil and gas companies are headquartered in Houston, and Texas beef is legendary. But less appreciated is that Houston is a vibrant and diverse city. By the usual metrics it is the most racially and ethnically diverse city in the United States. That diversity helps to make Houston a foodie's paradise, with wonderful Mexican, Tex-Mex, Vietnamese, and Chinese restaurants, and great Southern options, such as soul food and Cajun. Not to mention the best Texas-style barbecue!
The SIGMOD conference is being held at the Marriott Marquis Houston, overlooking downtown Houston's Discovery Green park. Adjacent to Discovery Green are Minute Maid Park and the Toyota Center, home of baseball's Houston Astros and basketball's Houston Rockets, respectively. The conference banquet is at Minute Maid Park. Downtown Houston is a short car or train ride from great Houston museum district attractions such as the Menil Collection and the world-class shopping of the Houston Galleria area. And to repeat, everywhere you go in Houston, you'll find great food!
This year's technical program features 90 research papers selected from 461 submissions, 15 industrial papers selected from 40 submissions, two invited industrial papers, 35 demonstration papers selected from 108 submissions, and 5 tutorials selected from 14 submissions (two of which were merged into a 2-session tutorial). There are 15 research sessions, 4 industry sessions, an invited special session, and two demonstration sessions. The two invited keynotes were chosen to broaden the SIGMOD community's understanding of areas having a major effect on data management: Eric Brewer, VP of Infrastructure at Google and faculty member at UC Berkeley, talking about the effect of container technology on cloud computing; and Pedro Domingos, Professor at University of Washington, talking about machine learning-what works, what doesn't, and where the field is headed. Like last year, the keynotes are followed by a plenary session of teaser talks, where each presenter gives a one-minute summary of their paper, to give attendees a high-level view of the conference and help them decide which sessions to attend.
There are two changes in the session organization from recent years, whose goal is to make the program more compact and interesting for attendees. First, tutorials are presented during the main conference on Tuesday through Thursday, rather than on Friday after the main conference is over. Second, to ensure there are at most four parallel sessions in each time slot, each research paper presentation is allocated either 20 minutes or 10 minutes. The decision of long vs. short presentations had several phases. During the reviewing process, PC members were asked to recommend whether each paper, if accepted, should be a long or short presentation. Then research PC group leaders made a recommendation for each of the accepted papers they supervised -- definitely 20 minutes, 20 minutes if there's time available, borderline, or definitely 10 minutes -- based on reviews, reviewer discussions, and their own judgment, without knowing the identity of authors. Their recommendation is not necessarily a quality metric. They recommended 'definitely 10' for some papers highly-rated by reviewers, because the topic was narrow, could be explained in 10 minutes, or couldn't be explained in 20 minutes so extra time wouldn't help. For borderline papers, the final decision was based on many factors, such as topic diversity, institutional diversity, and the time available in the relevant session.
The Research Program Committee consisted of a Program Chair, two Program Vice Chairs, 15 group leaders, and 173 Program Committee Members. There were two rounds of submissions, with deadlines in July and November, respectively. Initially, each paper received three reviews. Additional reviews were solicited in cases where the reviewers did not have enough confidence, or where there was a significant score discrepancy in the first three reviews. Papers were extensively discussed online. Of the 458 submissions, 20 were desk rejected (i.e., without reviews), 9 were accepted based on the first round of reviews, and 327 were rejected. Authors of the remaining 102 papers were asked to revise their papers to address reviewers' criticisms; 81 of those revisions were ultimately accepted. While the entire program committee worked hard to select an excellent program, the chairs and area leaders are especially grateful to the following program committee members for their very high quality work on the committee: Ashraf Aboulnaga, Manos Athanassoulis, Sebastian Breβ, Graham Cormode, Sudipto Das, Khuzaima Daudjee, Aaron Elmore, Ada Fu, Michael Hay, Yuxiong He, Yannis Katsis, Alexandra Meliou, Dan Olteanu, Andrew Pavlo, Peter Pietzuch, Lucian Popa, Semih Salihoglu, Ryan Stutsman, Yufei Tao, and Alexander Thomson.
The program also includes industry papers, demonstrations, tutorials, workshops, a Student Research Competition, and a New Researcher Symposium. We thank the organizers of all the technical events, including research PC vice-chairs Xin Luna Dong and Mohamed Mokbel, industrial PC chairs Samuel Madden and Neoklis Polyzotis, demonstration chairs Georgia Koutrika and Feifei Li, tutorial chairs Ihab Ilyas and Stratis Viglas, workshop chairs Ihab Ilyas and Benny Kimelfeld, Student Research Competition chairs Alvin Cheung and Jana Giceva, and New Research Symposium chairs Katja Hose and Eugene Wu. We are also grateful to the CMT team, who modified their reviewing system to accommodate new aspects of this year's PC process.
Cited By
- Chen H, Dou Z, Hao X, Tao Y, Song S and Sheng Z Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (4839-4849)
-
Zhang Y, zhao w, Freris N and Chen L (2023). Research on SQL statement optimization rules for relational heterogeneous database 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 10.1117/12.2683349, 9781510666665, (17)
-
Tu Y, Sun Y, Yao L, Wu H and Yang Y (2022). A cost-effective real-time distributed computing platform with apache spark structured streaming for DAS Thirteenth International Conference on Information Optics and Photonics (CIOP 2022), 10.1117/12.2654611, 9781510660632, (119)
-
Varma G, Chauhan R and Singh D (2022). Sarve: synthetic data and local differential privacy for private frequency estimation, Cybersecurity, 10.1186/s42400-022-00129-6, 5:1, Online publication date: 1-Dec-2022.
-
Harris D, Miknis M, Smith C and Wilson I (2020). Metrics for Evaluating Cyber Security Data Visualizations in Virtual Reality, PRESENCE: Virtual and Augmented Reality, 10.1162/pres_a_00363, 29, (223-240), Online publication date: 1-Dec-2020.
-
Dosso D, Setti G and Silvello G (2019). Learning to Cite: Transfer Learning for Digital Archives Digital Libraries: Supporting Open Science, 10.1007/978-3-030-11226-4_8, (97-106),
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
SIGMOD '19 | 430 | 88 | 20% |
SIGMOD '18 | 461 | 90 | 20% |
SIGMOD '15 | 415 | 106 | 26% |
SIGMOD '14 | 421 | 107 | 25% |
SIGMOD '13 | 372 | 76 | 20% |
SIGMOD '12 | 289 | 48 | 17% |
SIGMOD '03 | 342 | 53 | 15% |
SIGMOD '02 | 240 | 42 | 18% |
SIGMOD '01 | 293 | 44 | 15% |
SIGMOD '00 | 248 | 42 | 17% |
SIGMOD '97 | 202 | 42 | 21% |
SIGMOD '96 | 290 | 47 | 16% |
Overall | 4,003 | 785 | 20% |