Results 31 to 40 of about 1,055,752 (313)
The RNA structure alignment ontology [PDF]
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
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]
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
A formal foundation for ontology alignment interaction models [PDF]
Ontology alignment foundations are hard to find in the literature. The abstract nature of the topic and the diverse means of practice makes it difficult to capture it in a universal formal foundation.
attencia, Manuel +2 more
core +2 more sources
A Compact Brain Storm Algorithm for Matching Ontologies
An ontology can formally present the domain knowledge by specifying the domain concepts and their relationships, which is a kernel technique for addressing the data heterogeneity issue in the semantic web. However, since existing ontologies are developed
Xingsi Xue, Jiawei Lu
doaj +1 more source
Ontology Alignment Repair Through 0-1 Programming
In order to solve the problem of lack of effective methods for ontology inconsistency, a user preferences-oriented ontology alignment repair model is proposed.
Wenning Hao +5 more
doaj +1 more source
DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability.
Jifang Wu +3 more
doaj +1 more source
GO faster ChEBI with Reasonable Biochemistry [PDF]
Chemical Entities of Biological Interest (ChEBI) is a database and ontology that represents biochemical knowledge about small molecules. Recent changes to the ontology have created new opportunities for automated reasoning with description logic, that ...
Duncan Hull
core +2 more sources
Assessing Ontology Mappings on a Level of Concepts and Instances
In recent years, the number of domain ontologies on the Internet has been steadily increasing. Many ontologies describe overlapping universes of discourse in various ways, therefore, the need for an efficient ontology alignment method is required ...
Marcin Pietranik +2 more
doaj +1 more source
Dealing with uncertain entities in ontology alignment using rough sets [PDF]
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Alireza Mousavi +4 more
core +1 more source

