activity
20032022
most citedHarnessing the Deep Web: Present and Future

94 citations · 140 across the 8 of their papers we have counts for

collaborators
Showing cs.DBShow all

6 papers · 1 filter

cs.DB20252 cited

CoddLLM: Empowering Large Language Models for Data Analytics

Jiani Zhang, Hengrui Zhang, Rishav Chakravarti +6

Large Language Models (LLMs) have the potential to revolutionize data analytics by simplifying tasks such as data discovery and SQL query synthesis through natural language interac…

cs.DB20191 cited

Voyageur: An Experiential Travel Search Engine

Sara Evensen, Aaron Feng, Alon Halevy +10

We describe Voyageur, which is an application of experiential search to the domain of travel. Unlike traditional search engines for online services, experiential search focuses on…

cs.DB2019

Subjective Databases

Yuliang Li, Aaron Xixuan Feng, Jinfeng Li +4

Online users are constantly seeking experiences, such as a hotel with clean rooms and a lively bar, or a restaurant for a romantic rendezvous. However, e-commerce search engines on…

cs.DB2018

Scalable Semantic Querying of Text

Xiaolan Wang, Aaron Feng, Behzad Golshan +4

We present the KOKO system that takes declarative information extraction to a new level by incorporating advances in natural language processing techniques in its extraction langua…

cs.DB200994 cited

Harnessing the Deep Web: Present and Future

Jayant Madhavan, Loredana Afanasiev, Lyublena Antova +1

Over the past few years, we have built a system that has exposed large volumes of Deep-Web content to Google.com users. The content that our system exposes contributes to more than…

cs.DB20036 cited

The Lowell Database Research Self Assessment

Serge Abiteboul, Rakesh Agrawal, Phil Bernstein +26

A group of senior database researchers gathers every few years to assess the state of database research and to point out problem areas that deserve additional focus. This report su…