Example:

Within a research organization, a laboratory working on the strength of materials wants to open a new research program on a specific line.
A Ph.D. student will be in charge to explore any possible tracks matching with the topic.
Prior to starting his search work, he has to realize a complete bibliographical work in order to gather the whole knowledge of the topic, and then to classify and examine its specificities.

Information

Articles come from queries on CSA, Scopus and STN databases.

Method

Identify main themes and validate the corpus to:

• Look up inside the most used keywords in the integrated documents
• Check out the mastered vocabulary associated with the integrated documents
• Validate the well-known authors’ presence

Categorize the topic and identify the sub-themes

• To create custom fields with an expert vocabulary.
• Terminological lists insertion: lexicon, thesaurus.
• To isolate a sub-theme creating a sub-database as needed.

Look up in the corpus to:

• Find relevant documents with a efficient search engine
• Examine your corpus from different point of view and get to the relevant documents with the help of some quite original graphic representations
• Gather the information in whether report or “shopping basket” to keep a bibliographical referential.

Examine the “shadow zones” to detect not or just a bit studied points about the topic

• To Check out the emergent vocabulary
• Reading about uncategorized documents

Conclusion

On 1570 articles, 80% of the corpus was able to be classified. 10% of the information has been deleted cause judged irrelevant.
10% of the corpus leads innovated ideas. The main line of research have been identified and classified.
The confirmation has been done: the targeted theme has not been traded yet. The validation about the research topic of the Ph.D. student has been done.
With the Intellixir system, the individual can quickly dispose of a bibliographical database such as a documentary referential.