Research on Query System of Knowledge Service Search Engine Based on Internet Big Data
- Resource Type
- Conference
- Authors
- Qing, Nie; Nan, Zhang; Wenqiang, Zhang; Fang, He
- Source
- 2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) Power, Electronics and Computer Applications (ICPECA), 2022 IEEE 2nd International Conference on. :852-856 Jan, 2022
- Subject
- Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Annotations
Databases
Conferences
Semantics
Search engines
Ontologies
Libraries
internet
big data
knowledge service
search engine
knowledge query system
- Language
Providing users with effective personalized knowledge services is one of the development directions of information services in institutions such as libraries. The article constructs a personalized knowledge service system based on ontology by introducing ontology theory. The system uses the ontology to uniformly describe and reconstruct the multi-domain and cross-database document library. On this basis, a user personality characteristic model and a personalized knowledge retrieval model are further proposed, so that the system can realize personalized retrieval on the semantic level among multiple document databases. The system improves the efficiency and quality of knowledge services.