Results 21 to 30 of about 201 (160)
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
SANOM Results for OAEI 2019 [PDF]
Information and Communication ...
Mohammadi, Majid (author) +3 more
openaire +3 more sources
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 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
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 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
Multiobjective Sensor Ontology Matching Technique with User Preference Metrics
Due to the problem of data heterogeneity in the semantic sensor networks, the communications among different sensor network applications are seriously hampered. Although sensor ontology is regarded as the state‐of‐the‐art knowledge model for exchanging sensor information, there also exists the heterogeneity problem between different sensor ontologies ...
Hai Zhu +4 more
wiley +1 more source

