The area of Information Retrieval deals with problems of storage and retrieval within a huge collection of text documents. In IR models, the semantics of a document is usually characterized using a set of terms. A common need to various IR models is an efficient term retrieval provided via a term index. Existing approaches of term indexing, e. g. the inverted list, support efficiently only simp...

The IR society has made efforts in free-term indexing for a long time. By contrast, few efforts are made in controlled-vocabulary indexing. A new model for controlled-vocabulary indexing is proposed in this paper. This proposed model, TF×OSDF×CSIDF, distinguishes subjectspecific words from common words and domain-specific words in documents. 60,400 MEDLINE records are used as training data and ...

In spite of long controversy, effectiveness of phrasal indexing is not yet clear. Recently, correlation between query length and effect of phrasal indexing is reported. In this paper, terms extracted from the topic set of the NACSIS test collection 1 are analyzed utilizing statistic tools in order to show distribution characteristics of single word/phrasal terms with regard to relevant/nonrelev...

Much information is hard to retrieve because the need to do so was not foreseen at the time the information was stored. This problem appears hard to solve with the aid of computers. However, research in the area of autobiographical memory suggests the use of retrieval cues relating to the kinds of activities in which the user was engaged at the time of storage. These are highly correlated with ...

Background Non-book materials have unique characteristics in subject analysis that influence their information retrieval process. It is obvious that online search studies intended for books are not appropriate for music materials. There are not enough empirical studies based on what objects focus on music materials. This study aims to explore useful tools for subject search of music scores in o...

A method is proposed for creating vector space representations of documents based on modeling target inter-document similarity values. The target similarity values are assumed to capture semantic relationships, or associations, between the documents. The vector representations are chosen so that the inner product similarities between document vector pairs closely match their target inter-docume...