Jarvelin, K.: ¬A deductive data model for thesaurus navigation and query expansion (1996)
0.00
0.0024217735 = product of:
0.018163301 = sum of:
0.012581941 = weight(_text_:und in 5625) [ClassicSimilarity], result of:
0.012581941 = score(doc=5625,freq=2.0), product of:
0.06422601 = queryWeight, product of:
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.028978055 = queryNorm
0.19590102 = fieldWeight in 5625, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.216367 = idf(docFreq=13101, maxDocs=44218)
0.0625 = fieldNorm(doc=5625)
0.0055813594 = product of:
0.011162719 = sum of:
0.011162719 = weight(_text_:information in 5625) [ClassicSimilarity], result of:
0.011162719 = score(doc=5625,freq=4.0), product of:
0.050870337 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.028978055 = queryNorm
0.21943474 = fieldWeight in 5625, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=5625)
0.5 = coord(1/2)
0.13333334 = coord(2/15)
- Abstract
- Describes a deductive data model based on 3 abstraction levels for representing vocabularies for information retrieval: conceptual level; expression level; and occurrence level. The proposed data model can be used for the representation and navigation of indexing and retrieval thesauri and as a vocabulary source for concept based query expansion in heterogeneous retrieval environments
- Series
- Finnish information studies; 5
- Theme
- Konzeption und Anwendung des Prinzips Thesaurus