TY - JOUR
T1 - Balancing manual and automatic indexing for retrieval of paper abstracts
AU - Shin, Kwangcheol
AU - Han, Sang Yong
AU - Gelbukh, Alexander
PY - 2004
Y1 - 2004
N2 - MEDLINE is a widely used very large database of abstracts of research papers in medical domain. Abstracts in it are manually supplied with keywords from a controlled vocabulary called MeSH. The MeSH keywords assigned to a specific document are subdivided into MeSH major headings, which express the main topic of the document, and MeSH minor headings, which express additional information about the document's topic. The search engine supplied with MEDLINE uses Boolean retrieval model with only MeSH keywords used for indexing. We show that (1) vector space retrieval model with the full text of the abstracts indexed gives much better results; (2) assigning greater weights to the MeSH keywords than to the terms appearing in the text of the abstracts gives slightly better results, and (3) assigning slightly greater weight to major MeSH terms than to minor MeSH terms further improves the results.
AB - MEDLINE is a widely used very large database of abstracts of research papers in medical domain. Abstracts in it are manually supplied with keywords from a controlled vocabulary called MeSH. The MeSH keywords assigned to a specific document are subdivided into MeSH major headings, which express the main topic of the document, and MeSH minor headings, which express additional information about the document's topic. The search engine supplied with MEDLINE uses Boolean retrieval model with only MeSH keywords used for indexing. We show that (1) vector space retrieval model with the full text of the abstracts indexed gives much better results; (2) assigning greater weights to the MeSH keywords than to the terms appearing in the text of the abstracts gives slightly better results, and (3) assigning slightly greater weight to major MeSH terms than to minor MeSH terms further improves the results.
UR - http://www.scopus.com/inward/record.url?scp=22944480568&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30120-2_26
DO - 10.1007/978-3-540-30120-2_26
M3 - Artículo de la conferencia
AN - SCOPUS:22944480568
SN - 0302-9743
VL - 3206
SP - 203
EP - 210
JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
T2 - 7th International Conference TSD 2004: Text, Speech and Dialogue
Y2 - 8 September 2004 through 11 September 2004
ER -