Results 31 to 40 of about 618 (178)
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
TOM matcher results for OAEI 2021. [PDF]
This paper presents the matching system TOM together with its results in the Ontology Alignment Evaluation Initiative 2021 (OAEI 2021). This is the first participation of TOM in the OAEI.
Kossack, Daniel +3 more
openaire +3 more sources
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
With the in‐depth development of economic globalization, the connection and communication between China and other countries in the world are increasingly deepened, so the task of cultivating translation talents in various languages is particularly important.
Wanwan Qian, L. T. T. Nguyen
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
Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment
The amount of multilingual data on the Web proliferates; therefore, developing ontologies in various natural languages is attracting considerable attention.
Shimaa Ibrahim +3 more
doaj +1 more source
Matching Cyber Security Ontologies through Genetic Algorithm‐Based Ontology Alignment Technique
Security ontology can be used to build a shared knowledge model for an application domain to overcome the data heterogeneity issue, but it suffers from its own heterogeneity issue. Finding identical entities in two ontologies, i.e., ontology alignment, is a solution.
Weiwei Lin, Reiko Haga, Pei-Wei Tsai
wiley +1 more source

