Eckert, K.; Pfeffer, M.; Stuckenschmidt, H.: Assessing thesaurus-based annotations for semantic search applications (2008)
0.02
0.017406443 = product of:
0.078329 = sum of:
0.05872617 = weight(_text_:applications in 1528) [ClassicSimilarity], result of:
0.05872617 = score(doc=1528,freq=2.0), product of:
0.17247584 = queryWeight, product of:
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.03917671 = queryNorm
0.34048924 = fieldWeight in 1528, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.4025097 = idf(docFreq=1471, maxDocs=44218)
0.0546875 = fieldNorm(doc=1528)
0.01960283 = weight(_text_:of in 1528) [ClassicSimilarity], result of:
0.01960283 = score(doc=1528,freq=14.0), product of:
0.061262865 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.03917671 = queryNorm
0.31997898 = fieldWeight in 1528, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0546875 = fieldNorm(doc=1528)
0.22222222 = coord(2/9)
- Abstract
- Statistical methods for automated document indexing are becoming an alternative to the manual assignment of keywords. We argue that the quality of the thesaurus used as a basis for indexing in regard to its ability to adequately cover the contents to be indexed and as a basis for the specific indexing method used is of crucial importance in automatic indexing. We present an interactive tool for thesaurus evaluation that is based on a combination of statistical measures and appropriate visualisation techniques that supports the detection of potential problems in a thesaurus. We describe the methods used and show that the tool supports the detection and correction of errors, leading to a better indexing result.
- Source
- International Journal of Metadata, Semantics and Ontologies. 3(2008) no.1, S.53-67
Pfeffer, M.; Eckert, K.; Stuckenschmidt, H.: Visual analysis of classification systems and library collections (2008)
0.01
0.014485389 = product of:
0.06518425 = sum of:
0.018934188 = weight(_text_:of in 317) [ClassicSimilarity], result of:
0.018934188 = score(doc=317,freq=10.0), product of:
0.061262865 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.03917671 = queryNorm
0.3090647 = fieldWeight in 317, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.0625 = fieldNorm(doc=317)
0.046250064 = weight(_text_:systems in 317) [ClassicSimilarity], result of:
0.046250064 = score(doc=317,freq=4.0), product of:
0.12039685 = queryWeight, product of:
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.03917671 = queryNorm
0.38414678 = fieldWeight in 317, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.0731742 = idf(docFreq=5561, maxDocs=44218)
0.0625 = fieldNorm(doc=317)
0.22222222 = coord(2/9)
- Abstract
- In this demonstration we present a visual analysis approach that addresses both developers and users of hierarchical classification systems. The approach supports an intuitive understanding of the structure and current use in relation to a specific collection. We will also demonstrate its application for the development and management of library collections.
- Source
- Research and advanced technology for digital libraries : proceedings of the 12th European conference, ECDL '08, Aarhus, Denmark