Concept Linkage
Concept linkage tools connect related documents by identifying their commonly shared concepts and help users find information that they perhaps wouldn’t have found using traditional searching methods. It promotes browsing for information rather than searching for it. Concept linkage is a valuable concept in text mining.
In our project, we are also going to create concepts linkage between our documents. Imagine the scenario.
Scenario 1:
A user is searching for Hajj. As he enters the keyword Hajj, the text mining engine creates concepts linkages between Hajj and other related concepts.
Like
Hajj ----------------------------------------------à Ramadan
----------------------------------------------à Arafat
----------------------------------------------à Safa / Marwa
----------------------------------------------à Eid-ul-Azha
So the user is presented with documents which contain Hajj, or documents which have information related to Ramadhan, Arafat etc. This is called “Browsing for Information”.
Scenario 2:
A user is searching for Bai (Business Transaction). As he enters the keyword Bai, the text mining engine creates concepts linkages between Bai and other related concepts.
Like
Bai -----------------------------------------------à Different Types of Bai
----------------------------------------------à Loan
----------------------------------------------à Profit and Loss
The results clearly show the benefit of using concept linkage.
Why Text Mining ?
In ordinary searching, only those documents are returned which contain the occurrence of the search keyword. So if a search is performed on Islam and all the document is full of discussion about Islam, but if the Islam keyword is not present, then ordinary searching will not yield that document as a result. On the contrary it we use Text Mining then the document will be correctly identified as of high priority due to use of shallow semantics, concept linkage etc.
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