Results 21 to 30 of about 821,533 (281)
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
In cloud manufacturing systems, the multi-granularity of service resource and design task models leads to the complexity of cloud service matching. In order to satisfy the preference of resource requesters for large-granularity service resources, we ...
Shuhui Ding +3 more
doaj +1 more source
Interactive Cross-Lingual Ontology Matching
Recently, with the growing number of ontologies defined in different languages, to bridge the semantic gaps between them, it is necessary to identify the correspondences between their heterogeneous entities, so-called cross-lingual ontology matching. Due
Junfeng Chen +3 more
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Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences
Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and ontology is regarded as a solution to this problem. However, since different ontologies are constructed and maintained independently, there also exists the ...
Xingsi Xue +5 more
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Reusability ontology in business processes with similarity matching
The working technology will provide information and knowledge. Information and technology can be developed in various ways, by reusing the technologies. In this study modeled the ontology of SOPs using protege. Ontology will be matched between ontology A
Meida Cahyo Untoro +2 more
doaj +1 more source
Towards more Challenging Problems for Ontology Matching Tools [PDF]
We motivate the need for challenging problems in the evaluation of ontology matching tools. To address this need, we propose mapping sets between well-known biomedical ontologies that are based on the UMLS Metathesaurus. These mappings could be used as a
Grau, B.Cuenca +5 more
core +1 more source
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
Ontology-based composition and matching for dynamic service coordination [PDF]
Service engineering needs to address integration problems allowing services to collaborate and coordinate. The need to address dynamic automated changes - caused by on-demand environments and changing requirements - can be addressed through service ...
Yapa Bandara, Kosala +8 more
core +3 more sources
Matching sensor ontologies with unsupervised neural network with competitive learning [PDF]
Sensor ontologies formally model the core concepts in the sensor domain and their relationships, which facilitates the trusted communication and collaboration of Artificial Intelligence of Things (AIoT).
Xingsi Xue, Haolin Wang, Wenyu Liu
doaj +2 more sources
Reaching agreement over ontology alignments [PDF]
When agents communicate, they do not necessarily use the same vocabulary or ontology. For them to interact successfully, they must find correspondences (mappings) between the terms used in their respective ontologies.
Terry Payne +10 more
core +2 more sources

