In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

There is a large number of datasets published as Linked (Open) Data (LOD/LD). At the same
time, there is also a multitude of tools for publication of LD. However, potential LD …

A fundamental query in labeled graphs is to determine if there exists a path between a given
source and target vertices, such that the path satisfies a given label constraint. One of the …

Knowledge graphs (KGs) model facts about the world; they consist of nodes (entities such as
companies and people) that are connected by edges (relations such as founderOf). Facts …

Users increasingly rely on social media feeds for consuming daily information. The items in
a feed, such as news, questions, songs, etc., usually result from the complex interplay of a …

Search engines leverage knowledge to improve information access. In order to effectively
leverage knowledge, search engines should account for context, ie, information about the …

Tables and spreadsheets on the Internet often contain valuable information, but are created
by people who have different individuation. As a result, the similar data are often issued with …

Background Hetnets, short for “heterogeneous networks,” contain multiple node and
relationship types and offer a way to encode biomedical knowledge. One such example …

Analysing and explaining relationships between entities in a graph is a fundamental
problem associated with many practical applications. For example, a graph of biological …

Modern Knowledge Graphs such as DBPedia contain significant information regarding
Named Entities and the logical relationships which exist between them. Twitter on the other …