Results 181 to 190 of about 1,174,184 (329)
Matching heterogeneous ontologies via transfer learning
Ontology matching plays a pivotal role in aligning entities across diverse ontologies, enhancing interoperability and data exchange. Similarity features are the foundation of ontology matching, which assess entity similarities from multiple perspectives.
Xingsi Xue, Osamah Ibrahim Khalaf
doaj
Interactive Ontology Matching with Cost-Efficient Learning [PDF]
The creation of high-quality ontologies is crucial for data integration and knowledge-based reasoning, specifically in the context of the rising data economy. However, automatic ontology matchers are often bound to the heuristics they are based on, leaving many matches unidentified.
arxiv
Enhanced arginine uptake is a critical feature of metabolic reprogramming in PTCL, characterized by elevated expression of the arginine transporter SLC3A2. SLC3A2‐mediated arginine uptake facilitates PTCL proliferation and survival by enhancing OXPHOS metabolism and inducing immune evasion.
Yimin Ren+13 more
wiley +1 more source
A Multi-Agent Improved Semantic Similarity Matching Algorithm Based on Ontology Tree [PDF]
Qian Gao, Young Im Cho
openalex +1 more source
Evaluating Ontology Matching Systems on Large, Multilingual and Real-world Test Cases [PDF]
In the field of ontology matching, the most systematic evaluation of matching systems is established by the Ontology Alignment Evaluation Initiative (OAEI), which is an annual campaign for evaluating ontology matching systems organized by different ...
Aguirre, J-L.+6 more
core
MP3 tumor cells, a specific subpopulation of tumor cells in D‐TGCT, regulated the differentiation of CD34+ Fbs into MMP3+ Fbs and APOE+ Fbs through COL6A3 − (ITGAV + ITGB8) interaction. APOE+ Fbs activated IL‐1B+CCL20+ Mφs through the CXCL12/CXCR4 axis. IL‐1B+CCL20+ Mφs and MMP3+ Fbs participated in the local invasion of D‐TGCT.
Yubin Xie+15 more
wiley +1 more source
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language Models [PDF]
Biomedical ontologies, which comprehensively define concepts and relations for biomedical entities, are crucial for structuring and formalizing domain-specific information representations. Biomedical code mapping identifies similarity or equivalence between concepts from different ontologies.
arxiv
Improving Ontology Matching Using Meta-level Learning
Kai Eckert+2 more
openalex +1 more source
The biosynthetic mechanism of novel natural tetramic acid S‐TeA in Alternaria alternata is elucidated. Threonine acts as a precursor for 2‐amino‐3‐methylhexanoic acid (AMHA) synthesis via eight key enzymes from the branched‐chain amino acid biosynthetic pathway in the mitochondrion, wherein three unique enzymes (IPMS, IPMDH, and ISMD) play critical ...
He Wang+9 more
wiley +1 more source
Ontological Relations from Word Embeddings [PDF]
It has been reliably shown that the similarity of word embeddings obtained from popular neural models such as BERT approximates effectively a form of semantic similarity of the meaning of those words. It is therefore natural to wonder if those embeddings contain enough information to be able to connect those meanings through ontological relationships ...
arxiv