基于两层向量空间模型和模糊FCA本体学习方法.pdfVIP

计算机研究与发展 ISSN N 111777TP J ournal of Comp ut er Research and Develop ment 46 (3) : 443451 , 2009 基于两层向量空间模型和模糊 FCA 本体学习方法 1 ,2 1 邢 　军 　　韩 　敏 1 (大连理工大学电子与信息工程学院　大连 　116024) 2 (大连工业大学信息科学与工程学院　大连 　116034) (xingj un_tom @tom . com) An Ontology Learning Method Based on Double VSM and Fuzzy FCA Xing J un1 ,2 and Han Min1 1 ( S chool of E lect ronic an d I nf orm ation E ng i nee ri ng , D al i an Uni ve rs i ty of Technology , D al i an 116024) 2 ( S chool of I nf orm ation S cience an d Eng i neeri ng , D al i an Poly technic Uni ve rs i ty , D al i an 116034) Abstract 　Ontolo gy realization p o se s a s t he maj or hindrance to t he evolution of Worl d Wide Web into semantic Web . The manual con st ruction of ontolo gy demands lar ge amount of labor a s well a s la st s for long duration s. Ontolo gy lear ning t echnolo gy make s it po ssible for t he auto matic buil ding of ontolo gy in t ext s and great ly accelerat e s t he sp eed of con st r uction ; yet , t he t echnolo gy i s con st rained by it s lack of generalit y and accuracy . Ba sed on t he o bj ectorient ed analytical met ho ds , a for mal sp atial de scrip tion on o ntolo gy lear nin g dat a source i s p erfor med . The aut hor s revi se t he cla ssical de scrip tive met ho d for t ext s , t hat i s , t he obj ectorient ed sin gle vector sp ace mo del (V SM) and p ropo se a double vector sp ace mo del (DV SM) , sp ecifically , verbal layer and noun layer . Thi s mo del i s charact erized by t he inclu sion of diver se at t ribut e s and solid relation s. To f urt her cop e wit h infor mation redundancy a ssociat ed wit h FCA met ho d an d to imp rove t he a