Title :
Study of agricultural search engine based on FAO agrovoc ontology and google API
Author :
Yunpeng, Cui ; Peng, Tang ; Shihong, Liu ; Sufen, Sun
Author_Institution :
Key Lab. of Digital Agric. Early-warning Technol., Minist. of Agric., Beijing, China
Abstract :
This paper introduces an application developed with FAO Agrovoc ontology and Google AJAX API. FAO Agrovoc ontology is not only an agricultural concepts collection but also the relationships among the concepts, Google API can be used to submit keywords to Google search engine and get the retrieval results from Google, the combination of these two things can help users in agriculture field find information they want to search better and navigate the knowledge in some degree.
Keywords :
agricultural engineering; application program interfaces; information retrieval; ontologies (artificial intelligence); search engines; Agrovoc ontology; FAO; Google API; agricultural search engine; information retrieval; Agriculture; Computers; Google; Navigation; Ontologies; Search engines; Vocabulary;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
