A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …

We present a new corpus-based resource and methodology for the annotation of Latin
lexical semantics, consisting of 2,399 annotated passages of 40 lemmas from the Latin …

Semantic drift is an active field of research, aiming to identify and measure changes in
ontologies across versions in time, closely related to several fields such as ontology …

Abstract In a Service-Oriented Architecture (SOA), the need for service evolution comes from
service providers and their clients due to changes in requirements and environments …

Detecting and measuring semantic drift in different versions of ontologies across time is a
novel area of research that rapidly gains attention. Nevertheless, there exist only a few …

Concept drift refers to the phenomenon that concepts change their intensional composition,
and therefore meaning, over time. It is a manifestation of content dynamics, and an important …

Detecting changes in service interfaces during the application life-cycle is essential for both
change analysis and change management. Current approaches focus on structural and …

Nowadays, in the world of technology, where the new technologies are devolved and
replace the old ones every single day, any software product in order to maintain its …

Semantic drift is an active research field, which aims to identify and measure changes in
ontologies across time and versions. Yet, only few practical methods have emerged that are …

Many approaches in machine learning require a measure of distance between data points.
Traditionally, practitioners would choose a standard distance metric (Euclidean, City-Block …