Title :
Studies on Ontology-based irrigation management information systems modeling
Author :
Li, Kairong ; Gao, Weiying ; Cheng, Jilin
Author_Institution :
Coll. of Inf. Eng., Yangzhou Univ., Yangzhou, China
Abstract :
Research and development irrigation management information systems are the important measures of making irrigation management more modernized and standardized. The difficulties of building information systems have been increased along with the continuous development of information technology and the complexity of information systems, information systems put forward higher request to “shared” and “reuse”. Ontology-based information systems modeling can eliminate semantic differences, and carry out knowledge sharing and interoperability of different systems. In this paper, we introduce several common models which used in information systems modeling briefly; and then we introduce ontology, summarize ontology-based information systems modeling process; finally, we discuss the applications of ontology-based information systems modeling in irrigation management information systems preliminary.
Keywords :
information systems; information technology; irrigation; ontologies (artificial intelligence); research and development; information systems modeling; information technology; ontology-based irrigation management; research and development; Computational modeling; Ontologies; Semantics; irrigation management information systems; ontology; systems modeling;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824