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 …

Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

In this paper, we propose an algorithm to estimate missing values in tensors of visual data.
The values can be missing due to problems in the acquisition process or because the user …

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 …

Semantic integration is an active area of research in several disciplines, such as databases,
information-integration, and ontologies. This paper provides a brief survey of the …

Sentence representation learning is a crucial task in natural language processing, as the
quality of learned representations directly influences downstream tasks, such as sentence …

Schema and ontology matching is a critical problem in many application domains, such as
semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many …

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

Attentional control of executive function declines during the early stages of Alzheimer's
disease. Controversy exists as to whether this decline results from a single global deficit or …

Automated Semantic Matching of Ontologies with Verification (ASMOV) is a novel algorithm
that uses lexical and structural characteristics of two ontologies to iteratively calculate a …