We present an unsupervised approach for harvesting the data exposed by a set of structured
and partially overlap** data-intensive web sources. Our proposal comes within a formal …

The success of knowledge-sharing communities like Wikipedia and the advances in
automatic information extraction from textual and Web sources have made it possible to …

Entity-relationship-structured data is becoming more important on the Web. For example,
large knowledge bases have been automatically constructed by information extraction from …

The schemalessness, one of the major advantages of JSON representation format, comes
with high penalties in querying and operations by denying various critical functions such as …

Entity search over text corpora is not geared for relationship queries where answers are
tuples of related entities and where a query often requires joining cues from multiple …

Abstract SPARQL, the W3C standard for RDF query languages, has gained significant
popularity in recent years. An increasing amount of effort is currently being exerted to …

Given a dataset containing sensitive personal information, a statistical database answers
aggregate queries in a manner that preserves individual privacy. We consider the problem …

Recently answers for fact lookup queries have appeared on major search engines. For
example, for the query Barack Obama date of birth Google directly shows" 4 August 1961" …

By incorporating human workers into the query execution process crowd-enabled databases
facilitate intelligent, social capabilities like completing missing data at query time or …

With the increasing popularity of XML for data representations, there is a lot of interest in
searching XML data. Due to the structural heterogeneity and textual content's diversity of …