The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Organizations face a data discovery problem when their analysts spend more time looking
for relevant data than analyzing it. This problem has become commonplace in modern …

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 …

Analog and mixed signal (AMS) designs are an important part of embedded systems that
link digital designs to the analog world. Due to challenges associated with its verification …

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 …

Recently, community search over graphs has attracted significant attention and many
algorithms have been developed for finding dense subgraphs from large graphs that contain …

This article provides a comprehensive overview of the broad area of semantic search on text
and knowledge bases. In a nutshell, semantic search is “search with meaning”. This …

The World-Wide Web consists of a huge number of unstructured documents, but it also
contains structured data in the form of HTML tables. We extracted 14.1 billion HTML tables …

In this paper, we present ATHENA, an ontology-driven system for natural language querying
of complex relational databases. Natural language interfaces to databases enable users …

Publisher Summary DISCOVER operates on relational databases and facilitates information
discovery on them by allowing its user to issue keyword queries without any knowledge of …