| Title |
Semantic Matching Through Knowledge Graphs: A Smart City Case |
| ID_Doc |
38186 |
| Authors |
Voelz, A; Amlashi, DM; Lee, M |
| Title |
Semantic Matching Through Knowledge Graphs: A Smart City Case |
| Year |
2023 |
| Published |
|
| DOI |
10.1007/978-3-031-34985-0_10 |
| Abstract |
Using selected building blocks of the Semantic Web vision to enhance domain-specific modeling methods is advancing as a new research area. The study at hand aims to contribute to this novel area of research by proposing a Semantic Matching Model that serves as a foundation for matching the purpose of a certain modeling method with the intention of future users. Within this matching model, Linked Open Data is utilized to semantically align user inputs in the form of words or phrases with resources from the Semantic Web, which can then form the basis for semantic enrichment of model instances. An experimental proof-of-concept is provided in the form of a smart city-related implementation scenario. In this scenario, tour models are first matched with relevant information from the Semantic Web and then translated into semantic-rich knowledge graphs that enable the publication of the enriched models. |
| Author Keywords |
Conceptual Modeling; Domain-Specific Modeling Methods; Knowledge Graph; Semantic Matching; Linked Open Data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001284645300010 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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