One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …

Despite a decade of active research, there has been a marked lack in clone detection
techniques that scale to large repositories for detecting near-miss clones. In this paper, we …

Natural language has been the holy grail of query interface designers, but has generally
been considered too hard to work with, except in limited specific circumstances. In this …

K-Nearest Neighbor Graph (K-NNG) construction is an important operation with many web
related applications, including collaborative filtering, similarity search, and many others in …

Entity resolution is central to data integration and data cleaning. Algorithmic approaches
have been improving in quality, but remain far from perfect. Crowdsourcing platforms offer a …

Answering questions with data is a difficult and time-consuming process. Visual dashboards
and templates make it easy to get started, but asking more sophisticated questions often …

We present a new solution for finding joinable tables in massive data lakes: given a table
and one join column, find tables that can be joined with the given table on the largest …

Abstract In Dynamic Symmetric Searchable Encryption (DSSE), forward privacy ensures that
previous search queries cannot be associated with future updates, while backward privacy …

Despite the huge amount of recent research efforts on entity resolution (matching) there has
not yet been a comparative evaluation on the relative effectiveness and efficiency of …