Concept-Based Indexing in Text Information Retrieval

Concept-based indexing and retrieval of hypermedia information

The key to unlocking the information retrieval potential of hypermedia systems lies in the design of effective indexing structures for the multimedia documents stored in these systems, and in the development of appropriate retrieval mechanisms which use these index structures to overcome the shortcomings of the basic hypertext navigation mechanism. In this report, we review in detail a number o...

Concept-Centric Indexing and Retrieval on Medical Text

Concept Based Information Retrieval

Accounting for textual variation in the documents and queries processed by information retrieval systems is considered essential for achieving good retrieval. Recent research has called into question several ofthe techniques used to support this endeavor This paper reports on experiments with a concept based information retrieval system which relies on a program called MetaMap to accountfor tex...

Using Syllables As Indexing Terms in Full-Text Information Retrieval

This paper describes empirical results of information retrieval in 13 languages of the Cross Language Evaluation Forum (CLEF) collection augmented with results of Turkish using syllables as a means to manage morphological variation in the languages. This kind of approach has been used in speech retrieval (e.g. Larson and Eickeler 2003), but for some reason it has not been much tried out in text...

Information Retrieval and Text Categorization with Semantic Indexing

In this paper, we present the effect of the semantic indexing using WordNet senses on the Information Retrieval (IR) and Text Categorization (TC) tasks. The documents have been sense-tagged using a Word Sense Disambiguation (WSD) system based on Specialized Hidden Markov Models (SHMMs). The preliminary results showed that a small improvement of the performance was obtained only in the TC task. ...