Results 71 to 80 of about 176,433 (328)
On partitioning for ontology alignment [PDF]
, 2017 On Partitioning for Ontology Alignment?Sunny Pereira1, Valerie Cross1, Ernesto Jiménez-Ruiz21Miami University, Oxford, OH 45056, United States2University of Oslo, Norway1 IntroductionOntology Alignment (OA) is the process of determining the mappings ...
Cross, V., Jimenez-Ruiz, E., Pereira, S.
core
Ontology Matching with Knowledge Rules
, 2015 Ontology matching is the process of automatically determining the semantic equivalences between the concepts of two ontologies. Most ontology matching algorithms are based on two types of strategies: terminology-based strategies, which align concepts ...
Dou, Dejing +2 more
core +1 more source
Molecular Oncology, EarlyView.This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
Ontology alignment through argumentation [PDF]
, 2012 Currently, the majority of matchers are able to establish simple correspondences between entities, but are not able to provide complex alignments. Furthermore, the resulting alignments do not contain additional information on how they were extracted ...
Luz, Nuno +3 more
core
Shiva: A Framework for Graph Based Ontology Matching [PDF]
, 2014 Since long, corporations are looking for knowledge sources which can provide structured description of data and can focus on meaning and shared understanding.
Darbari, Hemant +3 more
core +1 more source
Conversational Ontology Alignment with ChatGPT
, 2023 This study evaluates the applicability and efficiency of ChatGPT for ontology alignment using a naive approach. ChatGPT's output is compared to the results of the Ontology Alignment Evaluation Initiative 2022 campaign using conference track ontologies.
Norouzi, Sanaz Saki +2 more
openaire +2 more sources
YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma
Molecular Oncology, EarlyView.The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy +9 more
wiley +1 more source
, 1939 With the proliferation of ontologies and their use in semantically-enabled applications, the issue of finding and repairing defects in ontologies has become increasingly important. Current work mostly targets debugging semantic defects in ontologies.
Lambrix, Patrick, Liu, Qiang
core +3 more sources
Exploiting Visual Similarities for Ontology Alignment
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015 This work was supported by MULTISENSOR (contract no. FP7-610411) and KRISTINA (contract no./nH2020-645012) projects, partially funded by the European Commission.
Doulaverakis, Charalampos +2 more
openaire +3 more sources
Emerging role of ARHGAP29 in melanoma cell phenotype switching
Molecular Oncology, EarlyView.This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster +3 more
wiley +1 more source