The scope of research is beyond measure and cannot be structured or contained in a single research guide for which knowledge web is need of the hour. Considering the vast well of information, researchers often face problems in zeroing-in on articles that are most suited for their research area. They often take recourse to the World Wide Web in their quest for articles of interest. In this process, researchers use the web crawlers of their favorite search engines. This generates hundreds of sites that store information on the topic of interest. Usually, the first few search results show articles that are cited repeatedly and are the most relevant references for the research. This leads researchers to the important journals and authors related to the field of interest and helps them adopt strategies accordingly.
Although the search results are displayed within few seconds, the researcher needs to devote considerable time in building a mental model of a research field and giving the most apt query for the search engine to return the best and most relevant results. Therefore, a mechanical search on the Web will be grossly insufficient. Instead, the researcher needs to conduct a search for material other than that found on the Web, and must follow up with a wide reading on the subject. That will help the researcher identify the precise data or information require from the search engine. Even after thorough scrutiny of the material, there is a high risk of information masking that could lead to missing out on an important piece of work.
The best way to obtain an overview of a research field is to conduct knowledge domain visualizations. This process expands the ability of researchers to recognize and analyze a knowledge area through several quantitative and qualitative methods. They are able to use tools such as visual analytics and information visualization to analyze data, retrieve information, and mine text from available sources. This process will answer most of their research queries and help avoid repeated searches on the Internet.
Knowledge domain visualizations save valuable time of the researcher in searching, indexing, and structuring data. Knowledge domain visualizations are not only beneficial for individual researchers or a single subject, but also provide a platform for accessing specific publications. It even provides a quick overview of a research field.
In searching for research material on the Web, the automated or mechanical procedure falls woefully sort. On the other hand, manual interventions can improve results significantly and lead to a more substantial research output.
