Buckland, M.K.; Chen, A.; Gebbie, M.; Kim, Y.; Norgard, B.: Variation by subdomain in indexes to knowledge organization systems (2000)
0.00
0.002991431 = product of:
0.005982862 = sum of:
0.005982862 = product of:
0.011965724 = sum of:
0.011965724 = weight(_text_:a in 97) [ClassicSimilarity], result of:
0.011965724 = score(doc=97,freq=14.0), product of:
0.059167966 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.051314447 = queryNorm
0.20223314 = fieldWeight in 97, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=97)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Bibliographies and their knowledge organization systems commonly cover broad topical areas. Indexes to knowledge organization systems, such as the Subject Index to the Dewey Decimal Classification, provide a general index to the entirety. However, every community and every specialty develops its own specialized vocabulary. An index derived from the specialized use of language within a single subdomain could well be different from a general-purpose index for all domains and preferable for that subdomain. Statistical association techniques can be used to create indexes to knowledge systems. A preliminary analysis based on the INSPEC database shows that subdomain indexes differ significantly from each other and from a general index. The greater the polysemy of individual words the greater difference in the indexes
- Type
- a