Full-Text Indexing Based on Lexical Relations
نویسندگان
چکیده
Tn contrast 10 other killd~ of lihrarie~, sort ware librilri(~s need to be conceptually organizer!. When looking for a component, the main concern of IIser~ is the fllnctionality of the rlesircd comporwnt; iJllplementat.ion rlet.ails are secondary. SoH ware r(,lI~e wou lei he ("II hanCf·d with conceptually organ ized large lihrrnies of ~oftwil re components. Tn this paper, we present CURt!. il 1001 that allows automatical hllilding of ~uch larg(' ~()flwar(' libraries from docllrnent.(·d soft wan' colt1p()n("nl.~. \\'1' focus here on GIJIW's indexing componellt which extracts conceptual al.triblltes from nal.llrallilnguagc dncumentation. This indexing method is ha~erl on wonis' CO-OCClI rrences. It first uses EXTIl'\(~T, 11 co-occn rf(~nce knowledge compiler for extract ing potential attrihll t e~ from textual documents. Conceptllally reln'ilnt cnllocation~ arc then selected according 10 their r("soh'ing power, which scales down the noise rille t() ('''nl(·xl. worrls. Thi~ fully automaled indexing 1001 I hlls goes further than keyword-bil~ed tools in I.he 1I11r1ersl.allclillf,; of a document without t.he hrittl(~lIess of know1eelg'~ ba~ed lools. The indexing componenl nr ClJrlll i~ fll11y implementer!. and some result!' arc ~i\'en in thr pflJH' 1'.
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