with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...

purpose:ferdowsi university of mashhad has developed its institutional repository (saed) for academic staff to storage and manage their scholarly information. however, there is no knowledge about the extent to which academics use such an integrated system and the problems they face in storage and retrieval of their publications. the aim of this research is, therefore, to investigate the usage s...

information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. the document processor, matching function and query analyzer are the main components of an information retrieval system. document retrieval system is fundamentally based on: boolean, vector-space, probabilistic, and language models. in this paper, a new methodology for mat...

This paper provides a snapshot of the state-of-the-art in information retrieval and information extraction from text through a selection of commercial, market-leading tools. Rooted in a research project conducted for the Belgian Police, we give an overview of the main (desired) features provided or lacked by these tools, along with their measured quality in operation. Various shortcomings and s...

We evaluate and compare the storage efficiency of different sparse matrix storage formats as index structure for text collection and their corresponding sparse matrixvector multiplication algorithm to perform query processing in information retrieval (IR) application. We show the results of our implementations for several sparse matrix algorithms such as Coordinate Storage (COO), Compressed Spa...