We investigate the potential of several artificial neural network architectures to be used as an index on a sorted set strings, namely, mapping from query string (an estimate of) its lexicographic rank in set, which allows solving some interesting string-search operations such range and prefix searches. Our evaluation variety real synthetic datasets shows that learned models can beat space vs e...

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...

boplastin inhibitor, mechanism of clot formation, zeta-potential, the conversion of prothrombin to thrombin, the role of platelets, and a synthetic anticoagulant. In addition, there is a special discussion of the general problem of standardization of thromboplastin. Those with a special interest in blood clotting from the clinical or laboratory standpoints can hardly afford to be unacquainted w...

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 ...

There are various methods of indexing the hidden web database like novel indexing, distributed indexing or indexing using map reduce framework. Our goal is to find an optimized indexing technique keeping in mind the various factors like searching, distribute database, updating of web, etc. Here, we propose an optimized method for indexing the hidden web database. This research uses Hierarchical...