Results 101 to 110 of about 13,471 (129)

Meta-analysis of genetic mapping studies in mice reveals candidate epilepsy modifier genes that are outside the current drug development landscape. [PDF]

Epilepsia
Durante GL, Tyler AL, Scott RC, Hernan AE, Mahoney JM.   +4 more
europepmc   +1 more source

Pre-Meta: priors-augmented retrieval for LLM-based metadata generation. [PDF]

Bioinformatics
Tinn P, Sørbø S, Jiang S, Voutetakis K, Giounis SM, Pilalis E, Papadodima O, Roman D.   +7 more
europepmc   +1 more source

Neuro-symbolic AI for auditable cognitive information extraction from medical reports. [PDF]

Commun Med (Lond)
Prenosil GA, Weitzel TK, Bello SC, Mingels C, Manzini G, Meier LP, Shi KY, Rominger A, Afshar-Oromieh A.   +8 more
europepmc   +1 more source

A Structured Computational Roadmap for Lipidomics in R: Reproducible Workflows from Raw Data to Functional Insight. [PDF]

Metabolites
Papatheodorou MP, Vlamos P, Krokidis MG.
europepmc   +1 more source

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A Prey–Predator Approach for Ontology Meta-matching

Journal on Data Semantics, 2021
Ontology matching has become one of the main research topics to address problems related to semantic interoperability on the web. The main goal is to find ways to make different ontologies interoperable. Due to the high heterogeneity in the knowledge representation of each ontology, several matchers are proposed in the literature, each seeking to ...
Nicolas Ferranti, Jairo FRANCISCO De Souza, Stenio Sa Rosario Furtado Soares   +2 more
exaly   +2 more sources

A framework for evaluating ontology meta-matching approaches

Journal of Intelligent Information Systems, 2020
Ontology matching has become a key issue to solve problems of semantic heterogeneity. Several researchers propose diverse techniques that can be used in distinct scenarios. Ontology meta-matching approaches are a specialization of ontology matching and have achieved good results in pairs of ontologies with different types of heterogeneities.
Nicolas Ferranti, Jairo FRANCISCO De Souza, Stenio Sa Rosario Furtado Soares   +2 more
exaly   +2 more sources

Interpretable ontology meta-matching in the biomedical domain using Mamdani fuzzy inference

Expert Systems With Applications, 2022
Ontology meta-matching techniques have been consolidated as one of the best approaches to face the problem of discovering semantic relationships between knowledge models that belong to the same domain but have been developed independently. After more than a decade of research, the community has reached a stage of maturity characterized by increasingly ...
Jorge Martinez-Gil
exaly   +3 more sources

A novel meta-matching approach for ontology alignment using grasshopper optimization

Knowledge-Based Systems, 2020
Abstract Ontology alignment is a fundamental task to support information sharing and reuse in heterogeneous information systems. Optimizing the combination of matchers by evolutionary algorithms to align ontology is an effective method. However, such methods have two significant shortcomings: weights need to be set manually to combine matchers, and a
Rong Peng
exaly   +2 more sources

A Compact Co-Evolutionary Algorithm for sensor ontology meta-matching

Knowledge and Information Systems, 2017
With the proliferation of sensors, semantic web technologies are becoming closely related to sensor network. The linking of elements from semantic web technologies with sensor networks is called semantic sensor web whose main feature is the use of sensor ontologies.
Xingsi Xue, Jeng-Shyang Pan, Xue Xingsi   +2 more
exaly   +2 more sources