Baliková, M.: Looking for the best way of subject access (2008)
0.01
0.012924549 = product of:
0.051698197 = sum of:
0.051698197 = weight(_text_:digital in 2187) [ClassicSimilarity], result of:
0.051698197 = score(doc=2187,freq=2.0), product of:
0.19770671 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.050121464 = queryNorm
0.26148933 = fieldWeight in 2187, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.046875 = fieldNorm(doc=2187)
0.25 = coord(1/4)
- Abstract
- M-CAST which stands for »Multilingual Content Aggregation System based on TRUST Search Engine« is a multilingual indexing and retrieval system based on semantic technology; it allows asking a question in one language and finding an exact answer in digitalized resources in different languages. It can serve as a monolingual query-answering system as well. Presently, we have a prototype of the M-CAST system; it was developed to evaluate both retrieval effectiveness and correctness of the interpretation process and has been tested in real-world situations. Further research will be done to increase the capabilities of the system. The M-CAST question-answering could be applied in both digital and hybrid libraries, because it enables to pose questions using either a set of search terms or natural-language questions. In addition, it enables to narrow a search in advanced search module using UDC (Universal Decimal Classification) system, which is widely used in libraries.
