Fox, K.L.; Frieder, O.; Knepper, M.M.; Snowberg, E.J.: SENTINEL: a multiple engine information retrieval and visualization system (1999)
0.01
0.00771415 = product of:
0.02314245 = sum of:
0.02314245 = product of:
0.06942735 = sum of:
0.06942735 = weight(_text_:network in 3547) [ClassicSimilarity], result of:
0.06942735 = score(doc=3547,freq=2.0), product of:
0.20157577 = queryWeight, product of:
4.4533744 = idf(docFreq=1398, maxDocs=44218)
0.045263603 = queryNorm
0.3444231 = fieldWeight in 3547, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4533744 = idf(docFreq=1398, maxDocs=44218)
0.0546875 = fieldNorm(doc=3547)
0.33333334 = coord(1/3)
0.33333334 = coord(1/3)
- Abstract
- We describe a prototype Information Retrieval system; SENTINEL, under development at Harris Corporation's Information Systems Division. SENTINEL is a fusion of multiple information retrieval technologies, integrating n-grams, a vector space model, and a neural network training rule. One of the primary advantages of SENTINEL is its 3-dimensional visualization capability that is based fully upon the mathematical representation of information with SENTINEL. The 3-dimensional visualization capability provides users with an intuitive understanding, with relevance/query refinement techniques athat can be better utilized, resulting in higher retrieval precision