In the recent years, different Web knowledge graphs, both free and commercial, have been
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …

Knowledge graph (KG) refinement refers to the process of filling in missing information,
removing redundancies, and resolving inconsistencies in KGs. With the growing popularity …

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 …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

Knowledge graphs and vector space models are robust knowledge representation
techniques with individual strengths and weaknesses. Vector space models excel at …

With the advent of the Internet, the amount of Semantic Web documents that describe real-
world entities and their inter-links as a set of statements have grown considerably. These …

Smart speakers such as Alexa and later Google Home have introduced Artificial Intelligence
(AI) into millions, soon to be billions of households, making AI an everyday experience …

This chapter outlines the state of the art of Knowledge Graph technologies by introducing the
process of building a Knowledge Graph. We define the following major steps of an overall …

The Web of data is growing continuously with respect to both the size and number of the
datasets published. Porting a dataset to five-star Linked Data however requires the …

Word embedding is becoming more popular in the Semantic Web community as an effective
approach for capturing semantics in various contexts. In this paper, we combine word …