Online Web Research Services & Data Research, Data mining

Web data extraction is widely used for internet marketing, market research and list management. It is difficult to achieve fully automatic extraction of Web page content due to limited language parsing options. You have to specify page structure and semantic contents in order to analyze the web page completely. Web data mining heavily depends on page’s semantic structure. For an instant, a company’s homepage, a freelancer’s homepage and a matrimony page can all have different semantic structures requiring different web extraction techniques.

Semantic structure of a web page and content identification facilitates in-depth analysis of a web page and helps build multilayered information database. Web mining also involve web dynamics. It determines how a change in the web page is reflected into content, semantic structure and access pattern. We can compare information from different time stamps to find out critical updates. Since it is impossible to systematically store previous information or update logs discovering instantaneous changes is nearly impossible.

Exploring and validating information stored in log records can greatly improve the quality and delivery of web research services to the end customer. It can also enhance web server system performance and discover potential customers for e-commerce. Log data offers rich information about web dynamics if you use advance web extraction techniques.

Many times web researchers clean, validate and transform log data to extract useful information about the user visit. For example researchers can use the IP address, time and web page content to discover user access trends and sequential patterns. Using log data one can determine the nature of traffic, calculate user response to web site design and offer customized services to individual users in cost-effective manner.

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