activity
20172026
most citedDetecting Opportunities for Differential Maintenance of Extracted Views

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2026

Novel Table Search [Technical Report]

Besat Kassaie, Renée J. Miller

Avoiding redundancy in query results has been extensively studied in relational databases and information retrieval, yet its implications for data lakes remain largely unexplored.…

cs.DB2025

Improving Unstructured Data Quality via Updatable Extracted Views

Besat Kassaie, Frank Wm. Tompa

Improving data quality in unstructured documents is a long-standing challenge. Unstructured data, especially in textual form, inherently lacks defined semantics, which poses signif…

cs.DB2020★ 1 cited

Detecting Opportunities for Differential Maintenance of Extracted Views

Besat Kassaie, Frank Wm. Tompa

Semi-structured and unstructured data management is challenging, but many of the problems encountered are analogous to problems already addressed in the relational context. In the…

cs.CL2017

De-identification In practice

Besat Kassaie

We report our effort to identify the sensitive information, subset of data items listed by HIPAA (Health Insurance Portability and Accountability), from medical text using the rece…

cs.CL2017

Job Detection in Twitter

Besat Kassaie

In this report, we propose a new application for twitter data called \textit{job detection}. We identify people's job category based on their tweets. As a preliminary work, we limi…

cs.DB2017

SPARQL over GraphX

Besat Kassaie

The ability of the RDF data model to link data from heterogeneous domains has led to an explosive growth of RDF data. So, evaluating SPARQL queries over large RDF data has been cru…