Results 1 to 10 of about 6,317 (92)
A multi-objective particle swarm optimization with density and distribution-based competitive mechanism for sensor ontology meta-matching [PDF]
Complex & Intelligent Systems, 2022 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.
Qing Lv
exaly +13 more sources
Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm
Mathematics, 2022 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
exaly +5 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
exaly +3 more sources
Evaluation of two heuristic approaches to solve the ontology meta-matching problem [PDF]
Knowledge and Information Systems, 2009 Nowadays many techniques and tools are available for addressing the ontology matching problem, however, the complex nature of this problem causes existing solutions to be unsatisfactory. This work aims to shed some light on a more flexible way of matching ontologies.
Jorge Martinez-Gil +2 more
exaly +5 more sources
An Overview of Current Ontology Meta-Matching Solutions [PDF]
The Knowledge Engineering Review, 2017 Nowadays, there are a lot of techniques and tools for addressing the ontology matching problem; however, the complex nature of this problem means that the existing solutions are unsatisfactory. This work intends to shed some light on a more flexible way of matching ontologies using ontology meta-matching.
Jorge Martinez-Gil +1 more
+14 more sources
IEEE AccessOntology matching is a key technology for solving the problem of semantic heterogeneity between ontologies. In past years, scholars have proposed many approaches committed to improve the quality of ontology matching.
Zhaoming Lv
exaly +3 more sources
Deep Reinforcement Learning Based Ontology Meta-Matching Technique
IEICE Transactions on Information and Systems, 2023 Xingsi Xue, Yirui Huang, Zeqing Zhang
exaly +2 more sources
Answer Counting under Guarded TGDs [PDF]
Logical Methods in Computer Science, 2023 We study the complexity of answer counting for ontology-mediated queries and for querying under constraints, considering conjunctive queries and unions thereof (UCQs) as the query language and guarded TGDs as the ontology and constraint language ...
Cristina Feier +2 more
doaj +1 more source
Integrating Sensor Ontologies with Niching Multi-Objective Particle Swarm Optimization Algorithm
Sensors, 2023 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
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