In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

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 …

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 …

Abstract The Linked Data initiative comprises structured databases in the Semantic-Web
data model RDF. Exploring this heterogeneous data by structured query languages is …

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

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 …

Previously proposed approaches to ad-hoc entity retrieval in the Web of Data (ERWD) used
multi-fielded representation of entities and relied on standard unigram bag-of-words retrieval …

Knowledge bases and the Web of Linked Data have become important assets for search,
recommendation, and analytics. Natural-language questions are a user-friendly mode of …

The primary problem confronting any new kind of search task is how to boot-strap a reliable
and repeatable evaluation campaign, and a crowd-sourcing approach provides many …

RDF knowledge graphs are typically searched using triple-pattern queries. Often, triple-
pattern queries will return too many or too few results, making it difficult for users to find …