Results 11 to 20 of about 176,433 (328)
Matching sensor ontologies through siamese neural networks without using reference alignment [PDF]
PeerJ Computer Science, 2021 Sensors have been growingly used in a variety of applications. The lack of semantic information of obtained sensor data will bring about the heterogeneity problem of sensor data in semantic, schema, and syntax levels.
Xingsi Xue +4 more
doaj +3 more sources
Using NSGA-III for optimising biomedical ontology alignment
CAAI Transactions on Intelligence Technology, 2019 To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts
Xingsi Xue +3 more
doaj +2 more sources
Evaluating ontology alignment methods [PDF]
, 2005 Many different methods have been designed for aligning ontologies. These methods use such different techniques that they can hardly be compared theoretically. Hence, it is necessary to compare them on common tests.
Euzenat, Jerome +1 more
core +5 more sources
Alignment of vaccine codes using an ontology of vaccine descriptions [PDF]
Journal of Biomedical Semantics, 2022 Background Vaccine information in European electronic health record (EHR) databases is represented using various clinical and database-specific coding systems and drug vocabularies. The lack of harmonization constitutes a challenge in reusing EHR data in
Benedikt FH Becker +3 more
doaj +2 more sources
Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service [PDF]
Information, 2018 Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail ...
Sotirios Karampatakis +4 more
doaj +2 more sources
Ontology Alignment: An annotated Bibliography [PDF]
, 2005 Ontology mapping, alignment, and translation has been an active research component of the general research on semantic integration and interoperability. In our talk, we gave our own classification of different topics in this research.
Mapping and Translation +2 more
core +4 more sources
SANA NetGO: A combinatorial approach to using Gene Ontology (GO) terms to score network alignments
, 2017 Gene Ontology (GO) terms are frequently used to score alignments between protein-protein interaction (PPI) networks. Methods exist to measure the GO similarity between two proteins in isolation, but pairs of proteins in a network alignment are not ...
Wayne B. Hayes, Nil Mamano
openalex +4 more sources
TOWARDS THE AUTOMATIC ONTOLOGY GENERATION AND ALIGNMENT OF BIM AND GIS DATA FORMATS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Establishing semantic interoperability between BIM and GIS is vital for geospatial information exchange. Semantic web have a natural ability to provide seamless semantic representation and integration among the heterogeneous domains like BIM and GIS ...
A. U. Usmani, M. Jadidi, G. Sohn
doaj +1 more source
Ontology Alignment Method Based on Self-attention [PDF]
Jisuanji kexue, 2022 With the development of knowledge graph in the field of artificial intelligence,there is an increasing demand to integrate knowledge graph from different sources to obtain a big knowledge graph with wider coverage.Ontology is the superstructure that can ...
WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng
doaj +1 more source
Matching sensor ontologies with unsupervised neural network with competitive learning [PDF]
PeerJ Computer Science, 2021 Sensor ontologies formally model the core concepts in the sensor domain and their relationships, which facilitates the trusted communication and collaboration of Artificial Intelligence of Things (AIoT).
Xingsi Xue, Haolin Wang, Wenyu Liu
doaj +2 more sources