Results 21 to 30 of about 1,019 (134)
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
LPHOM results for OAEI 2016 [PDF]
This paper presents the results obtained by LPHOM (Linear Program for Holistic Ontology Matching) system in the OAEI 2016 campaign. This is the first participation of our system in the OAEI campaigns.
Trojahn dos Santos, Cassia +4 more
core +3 more sources
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
LogMap family participation in the OAEI 2020 [PDF]
We present the participation of LogMap and its variants in the OAEI 2020 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system.
Jimenez-Ruiz, E.
core +2 more sources
[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
LogMap family participation in the OAEI 2017 [PDF]
We present the participation of LogMap and its variants in the OAEI 2017 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system.
Jimenez-Ruiz, E., Grau, B. C., Cross, V.
core +3 more sources
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

