Application of Apriori algorithm in government ontology construction
Sun Qin-shan · Jisuanji gongcheng yu sheji · 2007
To obtain frequent terms of government affair is the premise to establish practical government affair ontology and achieve the deep exploitation and utilization of government affair information. An Apriori algorithm based method is proposed to discover frequent terms and term clusters in government training documents. First of all, a government affair dictionary is constructed to obtain government affair sentences database. On that basis, government affair frequent term and term clusters in that sentence database is found by Apriori algorithm.