Direct, ad-hoc interaction with databases has typically been performed over console-
oriented conversational interfaces using query languages such as SQL. With the rise in …

Pioneered by Google's Pregel, many distributed systems have been developed for large-
scale graph analytics. These systems expose the user-friendly" think like a vertex" …

Text mining, also known as Intelligent Text Analysis is an important research area. It is very
difficult to focus on the most appropriate information due to the high dimensionality of data …

There is a growing need to explore attributed graphs such as social networks, expert
networks, and biological networks. A well-known mechanism for non-technical users to …

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 …

Keyword search is the most popular technique for querying large tree-structured datasets,
often of unknown structure, in the web. Recent keyword search approaches return lowest …

Keyword search has become an effective information retrieval method for structured data.
Existing works in relational database keyword search have addressed the problems of …

Real-world databases often have extremely complex schemas. With thousands of entity
types and relationships, each with a hundred or so attributes, it is extremely difficult for new …

Keyword query interfaces (KQIs) for databases provide easy access to data, but often suffer
from low ranking quality, ie low precision and/or recall, as shown in recent benchmarks. It …

Keyword search is a popular technique which allows querying multiple data sources on the
web without having full knowledge of their structure. This flexibility comes with a drawback …