Skriptum VL Text Indexing

Skriptum VL Text-Indexierung

In this section we will introduce suffix trees, which, among many other things, can be used to solve the string matching task (find pattern P of length m in a text T of length n in O(n+m) time). In the exercises, we have already seen that other methods (Boyer-Moore, e.g.) solve this task in the same time. So why do we need suffix trees? The advantage of suffix trees over the other string-matchi...

A Comparing between the impacts of text based indexing and folksonomy on ranking of images search via Google search engine

Background and Aim: The purpose of this study was to compare the impact of text based indexing and folksonomy in image retrieval via Google search engine. Methods: This study used experimental method. The sample is 30 images extracted from the book “Gray anatomy”. The research was carried out in 4 stages; in the first stage, images were uploaded to an “Instagram” account so the images are tagge...

تأملاتی بر نمایه‌ سازی تصاویر: یک تصویر ارزشی برابر با هزار واژه

Purpose: This paper presents various  image indexing techniques and discusses their advantages and limitations.             Methodology: conducting a review of the literature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique. Findings: Concept-based image indexing is te...

مدل دو مرحله ای شکاف- گلچین برای نمایه سازی خودکار متون فارسی

Purpose: Each language has its own problems. This leads to consider appropriate models for automatic indexing of every language. These models should concern the exhaustificity and specificity of indexing.   This paper aims at introduction and evaluation of a model which is suited for Persian automatic indexing. This model suggests to break the text into the particles of candidate terms and to c...

Information Retrieval. Skriptum zur Vorlesung