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Semantic technologies for historical research: A survey
During the nineties of the last century, historians and computer scientists created together a
research agenda around the life cycle of historical information. It comprised the tasks of …
research agenda around the life cycle of historical information. It comprised the tasks of …
Adaptive malicious URL detection: Learning in the presence of concept drifts
G Tan, P Zhang, Q Liu, X Liu, C Zhu… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Hackers can implant malwares (eg Trojans, Worms, etc.) in the web pages to steal user
information and acquire money illegally. In fact, it is noted that close to one-third of all …
information and acquire money illegally. In fact, it is noted that close to one-third of all …
[HTML][HTML] Detecting interdisciplinary semantic drift for knowledge organization based on normal cloud model
Z Wang, S Peng, J Chen, AG Kapasule… - Journal of King Saud …, 2023 - Elsevier
To reduce the conceptual ambiguity in interdisciplinary knowledge organization systems
(KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework …
(KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework …
CEDAR: the Dutch historical censuses as linked open data
Here, we describe the CEDAR dataset, a five-star Linked Open Data representation of the
Dutch historical censuses. These were conducted in the Netherlands once every 10 years …
Dutch historical censuses. These were conducted in the Netherlands once every 10 years …
SemaDrift: A hybrid method and visual tools to measure semantic drift in ontologies
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 …
ontologies across versions in time, closely related to several fields such as ontology …
[HTML][HTML] Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change
The consistent evolution of ontologies is a major challenge for systems using semantically
enriched data, for example, for annotating, indexing, or reasoning. The biomedical domain is …
enriched data, for example, for annotating, indexing, or reasoning. The biomedical domain is …
What is linked historical data?
Datasets that represent historical sources are relative newcomers in the Linked Open Data
(LOD) cloud. Following the standard LOD practices for publishing historical sources raises …
(LOD) cloud. Following the standard LOD practices for publishing historical sources raises …
[PDF][PDF] A Framework for Measuring Semantic Drift in Ontologies.
Semantic drift is an active field of research, aiming to identify and measure changes in
ontologies across time and versions, closely related to ontology evolution. However …
ontologies across time and versions, closely related to ontology evolution. However …
Generating executable map**s from RDF data cube data structure definitions
Data processing is increasingly the subject of various internal and external regulations, such
as GDPR which has recently come into effect. Instead of assuming that such processes avail …
as GDPR which has recently come into effect. Instead of assuming that such processes avail …
A physical metaphor to study semantic drift
In accessibility tests for digital preservation, over time we experience drifts of localized and
labelled content in statistical models of evolving semantics represented as a vector field …
labelled content in statistical models of evolving semantics represented as a vector field …