Results 31 to 40 of about 1,038,617 (321)
Wuhan University Journal of Natural Sciences, 2022 Ontology alignment is an essential and complex task to integrate heterogeneous ontology. The meta-heuristic algorithm has proven to be an effective method for ontology alignment.
Zhaoming Lv, Rong Peng
semanticscholar +1 more source
Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences
Complex, 2021 Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and ontology is regarded as a solution to this problem. However, since different ontologies are constructed and maintained independently, there also exists the ...
Xingsi Xue +5 more
semanticscholar +1 more source
Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment
Future Internet, 2023 Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse.
Mohammed Suleiman Mohammed Rudwan +1 more
doaj +1 more source
Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm
Journal of Advanced Transportation, 2021 The development of intelligent transportation systems (ITSs) faces the challenge of integrating data from multiple unrelated sources. As one of the core technologies of knowledge integration in ITS, an ontology typically provides a normative definition ...
Xingsi Xue +5 more
doaj +1 more source
VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 Ontology Alignment is an important research problem applied to various fields such as data integration, data transfer, data preparation, etc. State-of-the-art (SOTA) Ontology Alignment systems typically use naive domain-dependent approaches with ...
Vivek Iyer, A. Agarwal, Harshit Kumar
semanticscholar +1 more source
Matching heterogeneous ontologies with adaptive evolutionary algorithm
Connection Science, 2022 An ontology provides a formal description on the domain concepts and their relationships. Due to the subjectivity of ontology engineers, one concept might be expressed in various ways, yielding the so-called ontology heterogeneity problem, and ontology ...
Xingsi Xue +4 more
doaj +1 more source
FOntCell: Fusion of Ontologies of Cells
Frontiers in Cell and Developmental Biology, 2021 High-throughput cell-data technologies such as single-cell RNA-seq create a demand for algorithms for automatic cell classification and characterization. There exist several cell classification ontologies with complementary information.
Javier Cabau-Laporta +10 more
doaj +1 more source
The RNA structure alignment ontology [PDF]
RNA, 2009 Multiple sequence alignments are powerful tools for understanding the structures, functions, and evolutionary histories of linear biological macromolecules (DNA, RNA, and proteins), and for finding homologs in sequence databases. We address several ontological issues related to RNA sequence alignments that are informed by structure.
James W, Brown +10 more
openaire +2 more sources
IEEE Access, 2021 Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic Web, but the heterogeneity problem between two ontologies seriously affects their communication.
Qing Lv, Chengcai Jiang, He Li
doaj +1 more source
Using Partial Reference Alignments to Align Ontologies [PDF]
, 2009 In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them.
Lambrix, Patrick, Liu, Qiang
openaire +2 more sources