Add to ORKGKnowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the Semantic Web, with the vision of providing a well-defined meaning to information and services on the Web through a set of standards. Particularly, linked data and ontologies have been quite essential for data sharing, discovery, integration, and reuse. In this paper, we provide a systematic literature review on knowledge graph creation from structured and semi-structured data sources using Semantic Web technologies. The review takes into account four prominent publication venues, namely, Extended Semantic...
Much has been written about knowledge graphs in the past years by authors coming from diverse commun...
Automatic knowledge graph (KG) construction is widely used in industry for data integration and acce...
Knowledge graphs have been shown to be an important data structure for many applications, including ...
Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typ...
The term "knowledge graph" has for the past, almost 10 years, been a hot topic within the internet i...
The internet is constantly expanding across millions of web pages. Using the internet effectively is...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving h...
International audienceThis book provides a comprehensive and accessible introduction to knowledge gr...
Knowledge graphs have been shown to be an important data structure for many applications, including ...
The evolution of the Web of documents into a Web of services and data has resulted in an increased a...
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garne...
The field of semantic computing is highly diverse, linking areas such as artificial intelligence, da...
Much has been written about knowledge graphs in the past years by authors coming from diverse commun...
Automatic knowledge graph (KG) construction is widely used in industry for data integration and acce...
Knowledge graphs have been shown to be an important data structure for many applications, including ...
Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typ...
The term "knowledge graph" has for the past, almost 10 years, been a hot topic within the internet i...
The internet is constantly expanding across millions of web pages. Using the internet effectively is...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving h...
International audienceThis book provides a comprehensive and accessible introduction to knowledge gr...
Knowledge graphs have been shown to be an important data structure for many applications, including ...
The evolution of the Web of documents into a Web of services and data has resulted in an increased a...
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garne...
The field of semantic computing is highly diverse, linking areas such as artificial intelligence, da...
Much has been written about knowledge graphs in the past years by authors coming from diverse commun...
Automatic knowledge graph (KG) construction is widely used in industry for data integration and acce...
Knowledge graphs have been shown to be an important data structure for many applications, including ...