With the prevalence of Internet access and online services, various big graphs are
generated in many real applications (eg, online social networks and knowledge graphs). An …

Large knowledge bases consisting of entities and relationships between them have become
vital sources of information for many applications. Most of these knowledge bases adopt the …

Question answering over RDF data like knowledge graphs has been greatly advanced, with
a number of good systems providing crisp answers for natural language questions or …

Direct answering of questions that involve multiple entities and relations is a challenge for
text-based QA. This problem is most pronounced when answers can be found only by …

With regard to keyword search systems for structured data, research during the past decade
has largely focused on performance. Researchers have validated their work using ad hoc …

Graph databases are enjoying enormous popularity, through both their RDF and Property
Graphs (PG) incarnations, in a variety of applications. To query graphs, query languages …

Extending the keyword search paradigm to relational data has been an active area of
research within the database and IR community during the past decade. Many approaches …

Given an expertise social network and a task consisting of a set of required skills, the team
formation problem aims at finding a team of experts who not only satisfy the requirements of …

This paper gives an overview on the YAGO-NAGA approach to information extraction for
building a conveniently searchable, large-scale, highly accurate knowledge base of …

Modern search engines employ advanced techniques that go beyond the structures that
strictly satisfy the query conditions in an effort to better capture the user intentions. In this …