Academic journal article Communications of the IIMA

An Experimental Study to Identify the Impact of Expert Filter Tokens for Syllabus Based Searches

Academic journal article Communications of the IIMA

An Experimental Study to Identify the Impact of Expert Filter Tokens for Syllabus Based Searches

Article excerpt


People search using search engines like Google. While specifying the query, some other words (filter tokens) are used with the topic being searched. These help in the filtering of the relevant and effective search results. SBWCE is being developed to make the Syllabus based Web Content Extraction easy and automatic. As SBWCE is based on using Expert Filter Tokens, there was a need to study their impact. Therefore, a framework to study the impact of these expert filter tokens was used on 'Computer Organization and Assembly Language', for experimental study. This paper presents the related details.


The new trend in teaching / learning scenarios necessitate the use of audio-visual aids. With the ease of Internet availability, the vast ocean of the knowledge present on the web needs to be explored. This has helped to remove the constraint of non-availability of information and made the teaching / learning process easier but challenging. People now try to spend more time on Internet than in the library. This leads to the change in the teaching concept. Now, the recent, updated and correct information on any subject area is required from the Internet, thereby reducing the use of only the recommended books by the University. The teachers, especially those in higher learning environments have started accepting the challenge of this changed situation. The teaching today involves the mandatory requirement of syllabus based web content searching, selecting the relevant results and then presenting the content to the learners. There is also limited time available because of the transition to multitasking educational setups. So, for most Web based search needs people use search engines like Google.

A person becomes a search expert if the search process is continued for similar types of searches over a period of time T, where T is the threshold value. The choice of the filter tokens by such experts makes the search process effortless, easy and efficient. A new approach of capturing, specification, selection and prioritization of these Expert filter tokens, is brought forward, (S.A.M Rizvi and Saba Hilal, 2007), and exploited as a technique for filtering the web based educational content in the Syllabus Based Web Content Extractor, SBWCE. The validation plan of SBWCE is designed to ensure that SBWCE will support the users' needs efficiently and correctly. For SBWCE, this means that users will be able to get the information they need efficiently from the Internet. It should cover a range of users with different expectations, backgrounds and experience. The validation plan also includes an evaluation of SBWCE by students and faculty. This necessitates the study of its impact by measuring the quality of the web-based output.

This study includes the user requirement analysis for educational syllabus searching purposes, the experimental stage where the expert filter tokens are applied and case study is conducted. The results are then analyzed and user feedback is taken.


Resource identification is an important aspect of Web Content Mining. It is the process of retrieving the intended web documents. It is done by web search and meta-search engines, or by crawlers. The current methods not only focus on analyzing static web sites but can also deal with constantly changing web sites, such as news sites, as given by (Mendez-Torreblanca, A., Montes-y-Gomez M., and A. Lopez-Lopez, 2002). Choosing the appropriate search engine for resource identification is dependent on various factors, like it should be readily available, and is designed for fast and accurate retrieval of valuable information. Even if a popular and successful search engine is to be used, the different formats for inputting queries, the presentation formats of the retrieval results and quality of retrieved information are also analyzed. …

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