Document summarization plays a vital role in the use and management of information dissemination. This paper investigates a method for the production of summaries from Tamil newspaper text document. The primary goal is to create an effective and efficient tool that is able to summarize the given...

Due to the sudden and explosive increase in web technologies, huge quantity of user generated content is available online. The experiences of people and their opinions play an important role in the decision making process. Although facts provide the ease of searching information on a topic but...

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...

During the last few years, it has become abundantly clear that the technological advances in information technology have led to the dramatic proliferation of information on the web and this, in turn, has led to the appearance of new words in the Internet. Due to the difficulty of reaching the...

With the rapid growth of the World Wide Web comes the need for a fast and accurate way to reach the information required. Search engines play an important role in retrieving the required information for users. Ranking algorithms are an important step in search engines so that the user could...

In this article, the authors introduce their OSSVIRI information retrieval system which composed of three modules. In the analysis module, they have proposed a statistical technique exploiting the word frequency in order to extract the simple, compound and specific terms from the documents. In...

Ontologies are constructed to extract meaningful information from data sources. Constructing ontologies aim at capturing domain knowledge that gives a commonly agreed understanding of a domain, which may be reused, shared, among applications and groups. To ease the process of building ontologies...

With the ever-increasing popularity of Location-based Services, geo-tagging a document - the process of identifying geographic locations (toponyms) in the document - has gained much attention in recent years. There have been several approaches proposed in this regard and some of them have...

This article describes how feature selection for learning to rank algorithms has become an interesting issue. While noisy and irrelevant features influence performance, and result in an overfitting problem in ranking systems, reducing the number of features by illuminating irrelevant and noisy...

Word mismatch between queries and documents is a fundamental problem in information retrieval domain. In this article, the authors present an effective approach to Bengali information retrieval that combines two IR models to tackle the word mismatch problem in Bengali IR. The proposed hybrid...