Introducing the Concept of Decisional DNA-Based Web Content Mining

This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. With very fast expansion of the Internet, several problems and challenges are created by the persistent growth of the amount of information in Web content. These challenges are related mainly to the difficulty of extracting potentially useful information and knowledge from Internet pages. To support Web content knowledge capture we propose a concept that integrates a novel decisional DNA knowledge structure with the traditional Web crawler technologies. Decisional DNA as a knowledge representation platform can be used to deal with noisy and incomplete data and can help to learn from experience and make precise decisions and predictions in vague and fuzzy environments. We illustrate our proposed concept with a set of experiments to prove its initial efficiency and effectiveness. INTRODUCTION As one of the main sources of information, the Internet plays a very important role in daily life. In fact, the Internet is a massive information and knowledge resource but it also contains a huge amount of data that consists of useless and not needed spam (Azam et al. 2010). Thus, it becomes increasingly important for users to be able to apply appropriate techniques that can help finding the information that is truly desired. On this basis, Web data mining has become one of the most dynamically expanding research areas in the domain of high technology (Azam et al. 2010). This article introduces a novel and explicit Web searching approach that integrates the traditional technique of a Web crawler with the decisional DNA (DDNA) knowledge structure introduced by Sanin and Szczerbicki (2006, 2009).