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 …

In this paper, we propose a novel embedding model, named ConvKB, for knowledge base
completion. Our model ConvKB advances state-of-the-art models by employing a …

While considering the spatial and temporal features of traffic, capturing the impacts of
various external factors on travel is an essential step towards achieving accurate traffic …

The ability to handle large scale graph data is crucial to an increasing number of
applications. Much work has been dedicated to supporting basic graph operations such as …

This article presents YAGO, a large ontology with high coverage and precision. YAGO has
been automatically derived from Wikipedia and WordNet. It comprises entities and relations …

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 …

Query languages for graph databases started to be investigated some 25 years ago. With
much current data, such as linked data on the Web and social network data, being graph …

Wikipedia is a goldmine of information; not just for its many readers, but also for the growing
community of researchers who recognize it as a resource of exceptional scale and utility. It …

Querying heterogeneous and large-scale knowledge graphs is expensive. This paper
studies a graph summarization framework to facilitate knowledge graph search.(1) We …

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 …