Abstract : This paper studied the construction of Pomology Domain Ontology (PDO), and the realization of PDO-based query system. First, an approach to build PDO based on Agriculture Science Thesaurus (AST) was proposed, which consists of confirming core concepts, adding the properties of concepts, confirming the relationships between concepts, adding the instances of concepts, and representing domain ontology. Then the PDO-based query system model and implementation algorithm were given. The query system realized class query, instance query, and property query by Jena. Query results indicate that the algorithm is practical and the search time is shortened. Through the query system pomology knowledge can be obtained from PDO according to user needs.
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.180-187, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_23〉
https://hal.inria.fr/hal-01351809
Contributeur : Hal Ifip
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Soumis le : jeudi 4 août 2016 - 17:06:44
Dernière modification le : vendredi 5 août 2016 - 09:27:45
Document(s) archivé(s) le : samedi 5 novembre 2016 - 12:56:55
Qian Sun, Qiulan Wu, Yong Liang. Study on Query System Based on Pomology Domain Ontology. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.180-187, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_23〉. 〈hal-01351809〉
