In the last few years, the interest in knowledge bases has grown exponentially in both the
research community and the industry due to their essential role in AI applications. Entity …

The task of entity alignment between knowledge graphs aims to find entities in two
knowledge graphs that represent the same real-world entity. Recently, embedding-based …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

8.1 The World Wide Web has radically altered the way we share knowledge, by lowering the
barrier to publishing and accessing documents as part of a global information space …

The DBpedia project is a community effort to extract structured information from Wikipedia
and to make this information accessible on the Web. The resulting DBpedia knowledge base …

Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent entities in
different languages. The task of cross-lingual entity alignment is to match entities in a source …

ABSTRACT The Linked Data paradigm has evolved into a powerful enabler for the transition
from the document-oriented Web into the Semantic Web. While the amount of data …

ABSTRACT The Web of Data is built upon two simple ideas: Employ the RDF data model to
publish structured data on the Web and to set explicit RDF links between entities within …

Abstract The Web of Data is built upon two simple ideas: Employ the RDF data model to
publish structured data on the Web and to create explicit data links between entities within …

Entity alignment plays an essential role in the knowledge graph (KG) integration. Though
large efforts have been made on exploring the association of relational embeddings …