Results 21 to 30 of about 814 (138)
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 In recent years, knowledge representation in the Artificial Intelligence (AI) domain is able to help people understand the semantics of data and improve the interoperability between diverse knowledge‐based applications. Semantic Web (SW), as one of the methods of knowledge representation, is the new generation of World Wide Web (WWW), which integrates ...
Yikun Huang +3 more
wiley +1 more source
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
doaj +1 more source
Using Competitive Binary Particle Swarm Optimization Algorithm for Matching Sensor Ontologies
Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022 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
Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022 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
Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022 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
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 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
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 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
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules [PDF]
, 2020 Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In this paper we present an approach that combines a neural embedding model and logic-based modules to accurately divide an input ontology matching task into ...
Agibetov, A. +4 more
core +2 more sources
Aggregating Heterogeneous Sensor Ontologies with Fuzzy Debate Mechanism
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 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
Journal of Advanced Transportation, Volume 2021, Issue 1, 2021., 2021 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