Today, we are experiencing an unprecedented production of resources, published as Linked Open Data (LOD, for short). This is leading to the creation of knowledge graphs (KGs) that form "the Web of Data" containing billions of RDF (Resource Description Framework) triples. It contains cross-domain knowledge graphs such as DBpedia, YAGO and Wikidata and domain-specific knowledge graphs such as Bio2RDF and eBay Knowledge Graph. They contain knowledge that is typically expressed in RDF, i.e., as statements of the form . Sometimes, the various types and relations are represented in an OWL2 (Web Ontology Language) ontology, which defines their relationships and axioms such as, subsumption, disjunction and functionality of properties.

In this course you will learn the principles of building a Web of data, an overview of the important problems that occur when one aims at enriching and validating the content the available knowledge graphs that are far from being complete and consistant. We will focus on the identity problem which consists in finding and validating identity links between resources and the ontology matching problem. This course will also reserve place to some feedback from applications using knowledge graphs and ontologies such as biology, agronomy and digital humanities.