Results 21 to 30 of about 318 (125)
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 Competitive Binary Particle Swarm Optimization Algorithm for Matching Sensor Ontologies
Developing sensor ontologies and using them to annotate the sensor data is a feasible way to address the data heterogeneity issue on Internet of Things (IoT). However, the heterogeneity issue exists between different sensor ontologies hampers their communications. Sensor ontology matching aims at finding all the heterogeneous entities in two ontologies,
Lei Xiao +4 more
wiley +1 more source
Since Internet of Everything (IoE) makes all the connections that come online more relevant and valuable, they are subject to numerous security and privacy concerns. Cybersecurity ontology is a shared knowledge model for tackling the security information heterogeneity issue on IoE, which has been widely used in the IoE domain.
Xingsi Xue, Wenbin Tan, Youliang Tian
wiley +1 more source
Integrating Cross‐lingual Ontologies through Co‐Evolutionary Algorithm
To support the collaborations among intelligent applications, it is necessary to integrate various ontologies which are developed and maintained by different organizations. One of the challenges is that different ontologies in the same application domain might use different languages to describe the same concept, which yields the cross‐lingual ...
Lili Huang, Leong Ko, Jianhui Lv
wiley +1 more source
Solving Sensor Ontology Metamatching Problem with Compact Flower Pollination Algorithm
To implement co‐operation among applications on the Internet of Things (IoT), we need to describe the meaning of diverse sensor data with the sensor ontology. However, there exists a heterogeneity issue among different sensor ontologies, which hampers their communications.
Wenwu Lian +5 more
wiley +1 more source
[Retracted] Semisupervised Learning‐Based Sensor Ontology Matching
Sensor ontology models the sensor information and knowledge in a machine‐understandable way, which aims at addressing the data heterogeneity problem on the Internet of Things (IoT). However, the existing sensor ontologies are maintained independently for different requirements, which might define the same concept with different terms or context ...
Hai Zhu +3 more
wiley +1 more source
Aggregating Heterogeneous Sensor Ontologies with Fuzzy Debate Mechanism
Aiming at enhancing the communication and information security between the next generation of Industrial Internet of Things (Nx‐IIoT) sensor networks, it is critical to aggregate heterogeneous sensor data in the sensor ontologies by establishing semantic connections in diverse sensor ontologies.
Xingsi Xue +6 more
wiley +1 more source
Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm
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 of transportation domain that can be used as a reference for information integration. However, due to
Xingsi Xue +6 more
wiley +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
Matching Sensor Ontologies with Simulated Annealing Particle Swarm Optimization
In recent years, innovative positioning and mobile communication techniques have been developing to achieve Location‐Based Services (LBSs). With the help of sensors, LBS is able to detect and sense the information from the outside world to provide location‐related services.
Hai Zhu +4 more
wiley +1 more source

