Mining valuable hidden knowledge from large-scale data relies on the support of reasoning
technology. Knowledge graphs, as a new type of knowledge representation, have gained …

The knowledge graph (KG) that represents structural relations among entities has become
an increasingly important research field for knowledge-driven artificial intelligence. In this …

Embedding knowledge graphs into continuous vector spaces has recently attracted
increasing interest. Most existing methods perform the embedding task using only fact …

One hundred and five generic types of Pleosporales are described and illustrated. A brief
introduction and detailed history with short notes on morphology, molecular phylogeny as …

Ontologies play a crucial role in the development of the Semantic Web as a means for
defining shared terms in web resources. They are formulated in web ontology languages …

This book is the first to combine coverage of fuzzy logic and Semantic Web languages. It
provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and …

Classical ontologies are not suitable to represent vague pieces of information, which has
lead to the birth of Fuzzy Description Logics as an appropriate formalism to represent this …

The internet and the development of the semantic web have created the opportunity to
provide structured legal data on the web. However, most legal information is in text. It is …

Abstract Recent success of Knowledge Graph has spurred widespread interests in methods
for the problem of Knowledge Graph completion. However, efforts to understand the quality …

The last couple of years it is widely acknowledged that uncertainty and fuzzy extensions to
ontology languages, like Description Logics (DLs) and OWL, could play a significant role in …