计算机技术与发展
計算機技術與髮展
계산궤기술여발전
COMPUTER TECHNOLOGY AND DEVELOPMENT
2014年
6期
166-169,173
,共5页
领域本体%相似度矩阵%权值%语义关系%向量空间模型
領域本體%相似度矩陣%權值%語義關繫%嚮量空間模型
영역본체%상사도구진%권치%어의관계%향량공간모형
domain ontology%similarity matrices%weighting%semantic relation%VSM
针对VSM不能揭示文档中特征词间的潜在语义关系,相似度计算准确性较低的问题,结合本体模型的结构特点,从语义重合度、语义距离以及本体结构等因素综合考虑概念间的相似度计算,提出了一种基于领域本体的文档向量空间模型。该模型通过构建概念间的语义相似度矩阵对特征词权值进行调整,建立包含语义关系的标准(学生)答案的向量空间模型,并用“VSM模型+余弦值”算法评估学生答案和标准答案的相似度。实验表明,与传统方法相比,该方法提高了评测效果及准确率。
針對VSM不能揭示文檔中特徵詞間的潛在語義關繫,相似度計算準確性較低的問題,結閤本體模型的結構特點,從語義重閤度、語義距離以及本體結構等因素綜閤攷慮概唸間的相似度計算,提齣瞭一種基于領域本體的文檔嚮量空間模型。該模型通過構建概唸間的語義相似度矩陣對特徵詞權值進行調整,建立包含語義關繫的標準(學生)答案的嚮量空間模型,併用“VSM模型+餘絃值”算法評估學生答案和標準答案的相似度。實驗錶明,與傳統方法相比,該方法提高瞭評測效果及準確率。
침대VSM불능게시문당중특정사간적잠재어의관계,상사도계산준학성교저적문제,결합본체모형적결구특점,종어의중합도、어의거리이급본체결구등인소종합고필개념간적상사도계산,제출료일충기우영역본체적문당향량공간모형。해모형통과구건개념간적어의상사도구진대특정사권치진행조정,건립포함어의관계적표준(학생)답안적향량공간모형,병용“VSM모형+여현치”산법평고학생답안화표준답안적상사도。실험표명,여전통방법상비,해방법제고료평측효과급준학솔。
In view of the problems that VSM couldn't reveal the latent semantic relations between the key words in a document,and have a low accuracy in document similarity calculation,combined the structural feature of ontology model,considering the concept similarity from the semantic contact ratio,semantic distance and the ontology structure,a document vector space model based on domain ontology is proposed. The model adjusts the weight of feature words by building concept semantic similarity matrix,constructing the standard answer and the student answer VSM contains semantic relation, and making use of the “VSM+cosine” algorithm to assess similarity of the student answer and the standard answer. Compared with the traditional method,experiments show that this method improves the scoring results and accuracy.