Retrieval of Relevant Web Pages by a New Filtering Method

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Author(s): Sahar Maâlej Dammak (MIRACL Laboratory, Tunisia), Anis Jedidi (MIRACL Laboratory, Tunisia)and Rafik Bouaziz (MIRACL Laboratory, Tunisia)
Copyright: 2019
Pages: 26
Source title: Knowledge-Intensive Economies and Opportunities for Social, Organizational, and Technological Growth
Source Author(s)/Editor(s): Miltiadis D. Lytras (Effat University, Saudi Arabia), Linda Daniela (University of Latvia, Latvia)and Anna Visvizi (Effat University, Saudi Arabia)
DOI: 10.4018/978-1-5225-7347-0.ch012

Keywords: Education / Educational Technologies / Human Aspects of Technology / Information Science Reference

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Abstract

With the great mass of the pages managed through the world, and especially with the advent of the web, it has become more difficult to find the relevant pages after an interrogation. Furthermore, the manual filtering of the indexed web pages is a laborious task. A new filtering method of the annotated web pages (by a semantic annotation process) and the non-annotated web pages (retrieved from search engine Google) is then necessary to group the relevant web pages for the user. In this chapter, the authors first synthesize their previous work of the semantic annotation of web pages. Then, they define a new filtering method based on three activities. They also present their querying and filtering component of web pages; their purpose is to demonstrate the feasibility of our filtering method. Finally, the authors present an evaluation of this component, which has proved its performance for multiple domains, and they discuss the use of the extended Boolean retrieval method in the new filtering method.

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Retrieval of Relevant Web Pages by a New Filtering Method

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