Zachary Ives

Finding Related Tables in Data Lakes for Interactive Data Science

2020 · 93 citations

, schema-agnostic repositories of data files and data products that offer limited organization and management capabilities. There is a need to build data lake search capabilities into data science environments, so scientists and analysts can find tables, schemas, workflows, and datasets useful to their task at hand. We develop search and management solutions for the Jupyter Notebook data science platform, to enable scientists to augment training data, find potential features to extract, clean da…

“Who said it, and Why?” Provenance for Natural Language Claims

2020 · 12 citations

In an era where generating content and publishing it is so easy, we are bombarded with information and are exposed to all kinds of claims, some of which do not always rank high on the truth scale. This paper suggests that the key to a longer-term, holistic, and systematic approach to navigating this information pollution is capturing the provenance of claims. To do that, we develop a formal definition of provenance graph for a given natural language claim, aiming to understand where the claim ma…

Modeling Shifting Workloads for Learned Database Systems

Proceedings of the ACM on Management of Data · 2024-03-12 · 10 citations

Learned database systems address several weaknesses of traditional cost estimation techniques in query optimization: they learn a model of a database instance, e.g., as queries are executed. However, when the database instance has skew and correlation, it is nontrivial to create an effective training set that anticipates workload shifts, where query structure changes and/or different regions of the data contribute to query answers. Our predictive model may perform poorly with these out-of-distri…

Implementation Strategies for Views over Property Graphs

Proceedings of the ACM on Management of Data · 2024-05-29 · 8 citations

The need to query complex interactions and relationships has motivated interest in property graph database platforms. For some graph applications, graph views are required to abstract the data, e.g., to capture individual-level vs. organization-level relationships; or show single computational steps vs. composite workflows. Emerging efforts to standardize graph query languages have developed semantics and language constructs for graph views. This paper considers the task of implementing such vie…

What is Your Article Based On? Inferring Fine-grained Provenance

2021-01-01 · 3 citations

Yi Zhang, Zachary Ives, Dan Roth. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.