Results 11 to 20 of about 43,195 (259)
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 +3 more sources
Using NSGA-III for optimising biomedical ontology alignment
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 +3 more sources
Ontology Alignment Evaluation Initiative: Six Years of Experience [PDF]
In the area of semantic technologies, benchmarking and systematic evaluation is not yet as established as in other areas of computer science, e.g., information retrieval. In spite of successful attempts, more effort and experience are required in order to achieve such a level of maturity.
Euzenat, Jérôme +4 more
openaire +6 more sources
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules [PDF]
Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In this paper we present an approach that combines a neural embedding model and logic-based modules to accurately divide an input ontology matching task into ...
Agibetov, A. +4 more
core +2 more sources
Integrating Sensor Ontologies with Niching Multi-Objective Particle Swarm Optimization Algorithm
Sensor ontology provides a standardized semantic representation for information sharing between sensor devices. However, due to the varied descriptions of sensor devices at the semantic level by designers in different fields, data exchange between sensor
Yucheng Zhuang, Yikun Huang, Wenyu Liu
doaj +1 more source
Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment
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
Results of the ontology alignment evaluation initiative 2022
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities. The OAEI 2022 campaign offered 14 tracks and was attended by 18 participants.
Pour, Mina Abd Nikooie +31 more
openaire +5 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
Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm
Ontology is the kernel technique of the Semantic Web (SW), which models the domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, the cutting-edge technology is to determine the heterogeneous entity ...
Xingsi Xue, Qi Wu, Miao Ye, Jianhui Lv
doaj +1 more source
Sensor ontology is a standard conceptual model that describes information of sensor device, which includes the concepts of various sensor modules and the relationships between them.
Aifeng Geng, Qing Lv
doaj +1 more source

