Methodologies and Technologies to Retrieve Information From Text Sources

Methodologies and Technologies to Retrieve Information From Text Sources

Anu Singha (South Asian University, India) and Phub Namgay (Sherubtse College, Royal University of Bhutan, Bhutan)
Copyright: © 2018 |Pages: 25
DOI: 10.4018/978-1-5225-2805-0.ch004


A tool which algorithmically traces the effectiveness of the text files would be helpful in determining whether the text file have all the characteristic of important concepts. Every text source is build up on key phrases, and these paramount phrases follow a certain grammatical linguistic pattern widely used. An enormous amount of information can be derived from these key concepts for the further analysis such as their dispersion, relationship among the concepts etc. The relationship among the key concepts can be used to draw a concept graphs. So, this chapter presents a detailed methodologies and technologies which evaluate the effectiveness of the extracted information from text files.
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An extensive study on how information technology can be used to improve education system is carried out by IBM (IBM, 2005). The report identified lack of language clarity, incoherent concepts and inadequacy of information provided as a major problem in the text files used as a part of academics.

There are many websites aimed to enrich learning experience; for example: allows users to download text files, ask questions on the topic of the file, and annotate them for quick reference. The members are also invited to contribute videos that can be viewed by many other readers (Agarwal, Gollapudi, Kenthapadi, Srivastaya & Velu, 2010). The problems with this video sharing are that though many of the videos have relevance to the text files, their quality are varied. This variance creates a comprehension burden to the user in relating the insight of the document with the video content. It is important that these supplementary files is authoritative, must be contextually related and is linked as close to where the abstract concepts needs deep elaboration.

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