Results 71 to 80 of about 1,139,414 (359)
Structural Weights in Ontology Matching
International journal of Web & Semantic Technology, 2013 Ontology matching finds correspondences between similar entities of different ontologies. Two ontologies may be similar in some aspects such as structure, semantic etc. Most ontology matching systems integrate multiple matchers to extract all the similarities that two ontologies may have.
Mohammad Ali Nematbakhsh +2 more
openaire +3 more sources
Matching biomedical ontologies through compact differential evolution algorithm
Systems Science & Control Engineering, 2019 Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
doaj +1 more source
A Comparative Study of Ontology Matching Systems via Inferential Statistics
IEEE Transactions on Knowledge and Data Engineering, 2019 Ontology matching systems are typically compared by comparing their average performances over multiple datasets. However, this paper examines the alignment systems using statistical inference since averaging is statistically unsafe and inappropriate. The
M. Mohammadi, W. Hofman, Yao-Hua Tan
semanticscholar +1 more source
Towards more Challenging Problems for Ontology Matching Tools [PDF]
, 2011 We motivate the need for challenging problems in the evaluation of ontology matching tools. To address this need, we propose mapping sets between well-known biomedical ontologies that are based on the UMLS Metathesaurus. These mappings could be used as a
Bernardo Cuenca Grau +1 more
core +3 more sources
Molecular Oncology, EarlyView.Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi +12 more
wiley +1 more source
Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm
Sensors, 2020 Semantic Sensor Web (SSW) links the semantic web technique with the sensor network, which utilizes sensor ontology to describe sensor information. Annotating sensor data with different sensor ontologies can be of help to implement different sensor ...
Xingsi Xue, Junfeng Chen
doaj +1 more source
A Large Scale Dataset for the Evaluation of Ontology Matching Systems [PDF]
, 2008 Recently, the number of ontology matching techniques and systems has increased significantly. This makes the issue of their evaluation and comparison more severe.
Avesani, Paolo +3 more
core
Molecular Oncology, EarlyView.AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
Improving Ontology Matching Using Application Requirements for Segmenting Ontologies [PDF]
Journal of Universal Computer Science, 2019 Ontology matching is concerned with finding relations between elements of different ontologies. In large-scale settings, some significant challenges arise, such as how to achieve a reduction in the time it takes to perform matching and how to improve the
Diego Pessoa +2 more
doaj +3 more sources
Matching Biomedical Ontologies via a Hybrid Graph Attention Network
Frontiers in Genetics, 2022 Biomedical ontologies have been used extensively to formally define and organize biomedical terminologies, and these ontologies are typically manually created by biomedical experts. With more biomedical ontologies being built independently, matching them
Peng Wang, Peng Wang, Yunyan Hu
doaj +1 more source