A Semantic Search Engine Based on SKOS Model Ontology in Agriculture

Abstract : A simple agriculture ontology system was constructed under extended SKOS model in this paper. A theme relevance algorithm based on terms’ distances in ontology system was tested and applied in improving the Pagerank evaluating. And also an online agricultural semantic search engine named as Sonong was implemented and deployed for service on internet. This online engine provides semantic hierarchy inference with the ontology system and a satisfying ranking list of retrieved information.
Document type :
Conference papers
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01559599
Contributor : Hal Ifip <>
Submitted on : Monday, July 10, 2017 - 5:28:24 PM
Last modification on : Tuesday, July 18, 2017 - 3:29:58 PM
Long-term archiving on : Wednesday, January 24, 2018 - 6:27:03 PM

File

978-3-642-18333-1_15_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Yong Yang, Jinhui Xiong, Shuyan Wang. A Semantic Search Engine Based on SKOS Model Ontology in Agriculture. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.110-118, ⟨10.1007/978-3-642-18333-1_15⟩. ⟨hal-01559599⟩

Share

Metrics

Record views

86

Files downloads

124