Results 31 to 40 of about 201 (161)
LPHOM results for OAEI 2016. [PDF]
, 2016 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. It has participated in four tracks (Benchmark, Anatomy, Conference, and Multifarm).
Megdiche-Bousarsar, Imen +2 more
openaire +2 more sources
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 +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 +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 +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 +3 more
doaj +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
An Iterative Automatic Final Alignment Method in the Ontology Matching System
Journal of Information and Organizational Sciences, 2018 Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used.
Marko Gulić +2 more
doaj +1 more source
Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm
Mathematics, 2022 Ontology is the kernel technique of the Semantic Web (SW), which models the domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, the cutting-edge technology is to determine the heterogeneous entity ...
Xingsi Xue, Qi Wu, Miao Ye, Jianhui Lv
doaj +1 more source
Mathematics, 2023 Ontology is the kernel technique of Semantic Web (SW), which enables the interaction and cooperation among different intelligent applications. However, with the rapid development of ontologies, their heterogeneity issue becomes more and more serious ...
Xingsi Xue +3 more
doaj +1 more source