We propose a demonstration of PATTY, a system for learning semantic relationships from
the Web. PATTY is a collection of relations learned automatically from text. It aims to be to …

Under the context of large-scale scientific literatures, this paper provides a user-centric
approach for refining and processing incomplete or vague query based on cognitive-and …

Equip** machines with knowledge, through the construction of machinereadable
knowledge bases, presents a key asset for semantic search, machine translation, question …

From a user perspective, data and services provide a complementary view of an information
source: data provide detailed information about specific needs, while services execute …

In the recent years, an increasingly large amount of biomedical and biomolecular
information and data has become available to researchers, allowing the scientific community …

The use of patterns in data management is not new: in data warehousing, data marts are
simple conceptual schemas with exactly one core entity, describing facts, surrounded by …

Search Computing (SeCo) aims at building search applications that bridge the gap between
general-purpose and vertical search engines. SeCo queries extract ranked information …

The challenges associated with information overload have been discussed within various
academic disciplines for decades. With data being gathered via the pervasive Web at …

We demonstrate the Search Computing framework for multi-domain queries upon ranked
data collected from Web sources. Search Computing answers to queries like" Find a good …

There are major trends to advance the functionality of search engines to a more expressive
semantic level. This is enabled by the advent of knowledgesharing communities such as …