In accordance to our assumption, the confidence score s e represents the degree of remoteness between the candidate concept e and the concept cluster H to which it belongs.
searching: For each concept c ij in a potential cluster H i , we search its directly-connected concepts in knowledge base KB, e.g., (c ij , r, e) with e ∈ E and r ∈ R, and use the distance between e and c ij to determine whether to merge it into H i .