Why using a web data mining tool?

Have you ever felt like you were missing important information during your research?

Have you ever wondered if the data you were looking for might be hidden somewhere on the web, yet inaccessible to you?

Do you want to ensure you have access to the most reliable and accurate search results?

Data Web Mining’s exploration tools are an effective solution. They allow you to optimize your time, get closer to completeness, and confirm the abundance or absence of information on your topics.

Since 2016, Cikisi has been optimizing information search and the strategic information cycle within the companies it equips and advises. For all monitoring activities, Cikisi automates the exploration and search for information on the surface web and the deep web, regardless of language. But what is Data Web Mining and why should you invest in these technologies?

Web mining involves using techniques and algorithms to explore content directly from the surface web and deep web to extract data that can be supplemented with information expected by business teams (innovation, marketing, research, management, etc.). 

What is the visible Web?  

The visible web refers to all pages and sites accessible by search engines and indexed in their results. It is the part of the web that can be easily found and viewed by users via well-known search engines such as Google, Bing, Yahoo, Ecosia, Qwant, etc. 

The invisible web, the hidden part

While the visible web consists of all web pages indexed by public search engines, it represents only a tiny fraction of the data on the web (pages, documents, videos, images, etc.). Experts estimate that the part of the web accessible by these engines is around 4 to 6% of all available data.

The invisible web or deep web consists of web documents that are poorly indexed or not indexed at all by general search engines. This is because the way search engines crawl the web requires, on the one hand, that pages are correctly linked to each other and, on the other hand, that they are identifiable by the search engine’s robots. However, in some cases, navigating and identifying pages is difficult, if not impossible.  

Reasons why part of the web is not accessible to traditional search engines:

Pages or sites are protected by meta tags that can stop robots, or they have a robot.txt file.

Documents or databases are too large to be fully indexed. Conventional engines therefore do not index the entire contents of several thousand databases.

Sites that generate dynamic pages (through queries, for example) often do not have static URLs that differentiate one piece of content from another.

The pages are poorly linked to each other or orphaned, meaning that no links on other pages point to them.

The pages are protected with username and password authentification, which is the case for paid content.

This part of the web, although the largest, is rarely used for information retrieval. This is simply because it requires extraction tools such as web mining, as well as appropriate analysis tools. 

Web Mining

Cikisi has developed a technology for mining information using intelligent web bots. The bots navigate web pages and the web autonomously and can be controlled according to different information search strategies.

The bot performs a preliminary analysis of the information, which improves the relevance of the results and minimizes noise. As an analyst, by combining this approach with bundles of already known sources (a more deterministic approach), you can be much more confident in your results.

The ability to explore the deep web ensures that monitors no longer miss key information that would not have been indexed by a traditional search engine.

In-depth exploration is possible thanks to platforms such as Cikisi and offers several advantages:  

Automate your information searches for forecasting through Web Mining exploration
You will be able to gather all the information you need for your forecasting research. Cikisi smart web bots are reliable, fast, and autonomous. This means you can handle last-minute requests for information, even on topics you know little about or for which you don’t yet have the right sources of information! 
Trust your data
No results with Cikisi software is indeed a result. This is something our customers love! Our robots search continuously, alerting you if new information appears on sources that are not monitored. The absence of results confirmed by the software is very useful for issues of intellectual property, rumors, misinformation, and therefore strategies relative to your competitors.  
Capturing rare information, i.e., information that is not available on the visible web
Our clients can decipher the roadmap of their competitors and suppliers using information from the deep web, find documents that can be used to challenge the prior art of a patent, identify very high-definition photographs of products, lists of players, plans, cases of product fraud, etc., which they would not have been able to obtain through a simple Google search. 
Broaden your vision and sourcing with Web Mining
Cikisi feeds your monitoring topics by indexing documents from lesser-known sources. You can then broaden your sourcing and identify new sources for your thematic and international source bundles.

The Cikisi Web Mining tool allows you to collect more information, but also to pre-analyze this vast amount of content. To fully understand the trends, new entrants, and weak signals that emerge from this monitoring, Cikisi has developed its own analysis and data visualization tools. Automatic data analysis also gives you access to dynamic deliverables, such as relational mapping and interactive dashboards.

All of these tools will help you with your forward-looking monitoring projects, from identifying sources and collecting information to sharing structured and analyzed data. And don’t forget that to be sure that a lack of information is indeed a tangible result, you need Cikisi.    