1996 ◽  
Vol 60 (6) ◽  
pp. 305-311 ◽  
Author(s):  
Seyit Kocberber ◽  
Fazli Can

Author(s):  
Yangjun Chen ◽  
Yong Shi

An important question in information retrieval is how to create a database index which can be searched efficiently for the data one seeks. Today, one or more of the following four techniques have been frequently used: full text searching, B-trees, inversion, and the signature file. Full text searching imposes no space overhead but requires long response time. In contrast, B-trees, inversion, and the signature file work quickl, but need a large intermediary representation structure (index), which provides direct links to relevant data. In this paper, we concentrate on the techniques of signature files and discuss different construction approaches of a signature file.


2009 ◽  
Vol 50 (4) ◽  
pp. 510-519 ◽  
Author(s):  
Vincent P. Magnini ◽  
Earl D. Honeycutt

1994 ◽  
Vol 79 (1-2) ◽  
pp. 89-108
Author(s):  
D. Dervos ◽  
Y. Manolopoulos ◽  
P. Linardis
Keyword(s):  

2003 ◽  
Vol 107 (1) ◽  
pp. 61-74 ◽  
Author(s):  
J. Patrick Williams

This article discusses one way in which cultural studies theories can be applied to current research of subcultures on the internet. Starting from Clarke's and Hebdige's theories of subcultural style and Frith's theory of music and identity, a case study of an online subcultural website is used to highlight the ways in which resistance is displayed by members of the ‘straightedge’ music subculture. In particular, usernames and signature files are analysed to demonstrate how style is constructed to communicate subcultural values and beliefs. At the same time, a critique of semiotic analyses of subcultural style is raised. It is argued that ethnographic methods are better suited to interpreting social psychological and cultural meanings attributed to subcultural activities in cyberspace.


2016 ◽  
Vol 6 (4) ◽  
pp. 16-29 ◽  
Author(s):  
Arun Kumar Yadav ◽  
Divakar Yadav ◽  
Rajesh Prasad

Searching on the web is one of the most progressive and expanding field nowadays. A large amount of information is available on the World Wide Web, motivating the need of efficient text indexing method that support fast text retrieval. In the past, two main indexing techniques: Signature files and Inverted files have been proposed. First require much larger space to store index and are more expensive to construct and update than inverted files. Second has been efficiently implemented using different structures like Sorted array and B-Tree. Sorted array was very expensive in updating the indices while appending a new keyword and B-tree method breaks down if there are many words with the same prefix. This paper presents a modified index structure for text retrieval that keeps a good result to optimize the space needed to store and time to search document. The proposed index is designed using the Wavelet Tree (WT), which was originally designed as wavelet transform for images. Experimental results show that on increasing the query length, the WT based index performs better than others.


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