Research Article
Research on Latent Semantic Relationship Search Engine Based on Knowledge Graph
@INPROCEEDINGS{10.1007/978-3-031-55471-1_20, author={Minqin Mao and Jielan Zhang}, title={Research on Latent Semantic Relationship Search Engine Based on Knowledge Graph}, proceedings={Mobile Networks and Management. 13th EAI International Conference, MONAMI 2023, Yingtan, China, October 27-29, 2023, Proceedings}, proceedings_a={MONAMI}, year={2024}, month={3}, keywords={Knowledge graph Potential semantic relationships Search Engines}, doi={10.1007/978-3-031-55471-1_20} }- Minqin Mao
Jielan Zhang
Year: 2024
Research on Latent Semantic Relationship Search Engine Based on Knowledge Graph
MONAMI
Springer
DOI: 10.1007/978-3-031-55471-1_20
Abstract
Knowledge graph is a large database composed of entities, relationships and attributes, which can provide rich semantic information for search engines. The potential semantic relation search engine based on Knowledge graph is a novel search engine. It obtains potential semantic relationships from the Knowledge graph, and then uses these potential semantic relationships to search for data sources such as web pages and documents. This paper first analyzes the characteristics of the Knowledge graph, then lists the construction process of the Knowledge graph based on WordNet, and finally proposes the potential semantic relationship search engine architecture based on the Knowledge graph.
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