Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …

After years of research on ontology matching, it is reasonable to consider several questions:
is the field of ontology matching still making progress? Is this progress significant enough to …

In this paper, we present LogMap—a highly scalable ontology matching system with 'built-
in'reasoning and diagnosis capabilities. To the best of our knowledge, LogMap is the only …

An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

Whilst there has been growing progress in Entity Linking (EL) for general language, existing
datasets fail to address the complex nature of health terminology in layman's language …

Links build the backbone of the Linked Data Cloud. With the steady growth in size of
datasets comes an increased need for end users to know which frameworks to use for …

Ontology alignment identifies semantically matching entities in different ontologies. Various
ontology alignment strategies have been proposed; however, few systems have explored …

A large number of information systems use many different individual schemas to represent
data. Semantically linking these schemas is a necessary precondition to establish …

Ontology alignment is an important part of enabling the semantic web to reach its full
potential. The vast majority of ontology alignment systems use one or more string similarity …

Ontologies play a key role in the advent of the Semantic Web. An important problem when
dealing with ontologies is the modification of an existing ontology in response to a certain …