Results 81 to 90 of about 38,633 (261)
The Evaluation of Ontology Matching versus Text [PDF]
Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain.
Andreea-Diana MIHIS
doaj
Today, there is a rapid increase of the available data because of advances in information and communications technology. Therefore, many mutually heterogeneous data sources that describe the same domain of interest exist. To facilitate the integration of
Marko Gulić +2 more
doaj +1 more source
Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction
Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch +13 more
wiley +1 more source
We measure the cell‐specific responses of administering infusible ECM (iECM) in acute myocardial infarction (MI) across multiple timepoints. Using single‐nucleus RNA sequencing and spatial transcriptomics, we measure macrophage activation, fibroblast remodeling, increased vascular development, lymphangiogenesis, cardioprotection, and neurogenesis ...
Joshua M. Mesfin +18 more
wiley +1 more source
Background Ontologies are increasingly used to structure and semantically describe entities of domains, such as genes and proteins in life sciences. Their increasing size and the high frequency of updates resulting in a large set of ontology versions ...
Kirsten Toralf +3 more
doaj +1 more source
Ontology Matching aims to find the semantic correspondences between ontologies that belong to a single domain but that have been developed separately. However, there are still some problem areas to be solved, because experts are still needed to supervise the matching processes and an efficient way to reuse the alignments has not yet been found.
openaire +1 more source
This work presents ARC‐3D, a soft 3D model that recreates how brain support cells, called astrocytes, react to oxidative stress. The system visualizes rapid calcium changes and inflammatory signals, and shows how the drug KDS12025 can protect cells from damage. ARC‐3D offers a simple, reliable way to study early drivers of brain inflammation.
Ju‐Kang Kim +6 more
wiley +1 more source
In this work, we present our experience when developing the Matching Framework (MaF), a framework for matching ontologies that allows users to configure their own ontology matching algorithms and it allows developers to perform research on new complex algorithms.
openaire +1 more source
Towards Ontology Matching for Intelligent Gadgets [PDF]
The FAST gadget development environment allows users to graphically compose intelligent, i.e., semantically annotated gadgets from predefined building blocks and deploy them on various mashup platforms, thus enabling the interconnection of different systems and services.
Ambrus O., Moller K., Handschuh S.
openaire +1 more source
Engineered microparticle topographies direct human mesenchymal stem cell osteogenesis without biochemical additives. This osteogenic commitment is driven by canonical Hedgehog signaling and followed by temporal IGF‐II engagement. Two‐photon polymerization demonstrates spatial control, enabling the engineering of topographical gradients that pattern ...
Fatmah I. Ghuloum +5 more
wiley +1 more source

