Results 31 to 40 of about 1,019 (134)

Matching Cyber Security Ontologies through Genetic Algorithm‐Based Ontology Alignment Technique

Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021
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

Logmap family participation in the OAEI 2019 [PDF]

, 2019
We present the participation of LogMap and its variants in the OAEI 2019 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   +3 more sources

Matching Sensor Ontologies with Simulated Annealing Particle Swarm Optimization

Mobile Information Systems, Volume 2021, Issue 1, 2021., 2021
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, Xingsi Xue, Aifeng Geng, He Ren, Hsu-Yang Kung   +4 more
wiley   +1 more source

MultiFarm: A benchmark for multilingual ontology matching [PDF]

, 2012
In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between
Svátek, Vojtěch, Stuckenschmidt, H., Wang, Shenghui Shenghui, Wang, Shenghui, Meilicke, C., Meilicke, Christian, van Hage, W.R., Ribeiro de Azevedo, Ryan, García Castro, Raúl, Montiel Ponsoda, Elena, Azevedo, Ryan Ribeiro de, Šváb-Zamazal, Ondřej, Tamalin, A., Freitas, Fred, Trojahn, Cássia, Trojahn dos Santos, Cassia, García-Castro, Raúl, Montiel-Ponsoda, E., Montiel-Ponsoda, Elena, van Hage, Willem Robert, Ribeiro de Azevedo, R., Stuckenschmidt, Heiner, Wang, S., Freitas, F., Freitas, Frederico, Tamilin, Andrei, Svatek, V., Hage, Willem Robert van, Svab-Zamazal, O., Robert van Hage, Willem, García-Castro, R.   +30 more
core   +1 more source

Dealing with uncertain entities in ontology alignment using rough sets [PDF]

, 2012
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Li, M, Qi, M, Mousavi, A, Al-Raweshidy, H   +3 more
core   +1 more source

Multiobjective Sensor Ontology Matching Technique with User Preference Metrics

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
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, Xingsi Xue, Chengcai Jiang, He Ren, Chi-Hua Chen   +4 more
wiley   +1 more source

A Process Model Collection and Gold Standard Correspondences for Process Model Matching

IEEE Access, 2019
Business process models are the conceptual models to depict the workflow of an organization. Process model matching (PMM) refers to the automatic identification of corresponding activities between a pair of process models that show similar or the same ...
Khurram Shahzad, Rao Muhammad Adeel Nawab, Adnan Abid, Kareem Sharif, Faizan Ali, Faisal Aslam, Arslaan Mazhar   +6 more
doaj   +1 more source

Integrating Sensor Ontologies with Global and Local Alignment Extractions

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
In order to enhance the communication between sensor networks in the Internet of things (IoT), it is indispensable to establish the semantic connections between sensor ontologies in this field. For this purpose, this paper proposes an up‐and‐coming sensor ontology integrating technique, which uses debate mechanism (DM) to extract the sensor ontology ...
Xingsi Xue, Xiaojing Wu, Chao Jiang, Guojun Mao, Hai Zhu, Chi-Hua Chen   +5 more
wiley   +1 more source

Matching biomedical ontologies through compact differential evolution algorithm

Systems Science & Control Engineering, 2019
Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
doaj   +1 more source

DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching

Applied Sciences, 2020
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability.
Jifang Wu, Jianghua Lv, Haoming Guo, Shilong Ma   +3 more
doaj   +1 more source