Research and Construction of Semantic Retrieval Based on Knowledge Graph
| Autor: | Guojian Xian, Kou Yuantao, Jiao Li, Yongwen Huang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Information retrieval
Computer science 020206 networking & telecommunications 02 engineering and technology Construct (python library) Ontology (information science) Semantics Field (computer science) Search engine Mode (computer interface) Knowledge graph 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Knowledge retrieval |
| Zdroj: | 2018 5th International Conference on Information Science and Control Engineering (ICISCE). |
| DOI: | 10.1109/icisce.2018.00095 |
| Popis: | This paper is to gain an overall view of the current research status of semantic retrieval systems based on knowledge graph, and construct such a system of rice field. The authors selected several well-known semantic retrieval models of various industries, such as Google, Bing, Elsevier, Baidu ZhiXin, etc., and comprehensively analyzed them from the aspects of entity type, field, entity source, retrieval mode, and information presentation, and then proposed a semantic retrieval system on basis of ontology, knowledge graph and nature language processing with multi-source of rice. The survey result shows that semantic retrieval is stepping toward the multi-field and instantiation stably, and the future research is concerned with semantization depth and multi-field knowledge graph. The proposed system can provide services of entity and knowledge retrieval, visual navigation and analysis, which meet users' retrieval needs in semantic to a certain extent. |
| Databáze: | OpenAIRE |
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