| Title |
Selecting the Proper Similarity Algorithm for Supporting Contract Document Review of School BTL Project |
| Authors |
Park Sung-Chul ; Koo Kyo-Jin |
| Keywords |
Similarity Algorithm ; School Facilities ; BTL ; Document Management ; Data-Mining ; Jaccard Similarity Coefficient |
| Abstract |
In the school BTL projects, review of the contract documents is very important for success of the projects. The objective of the research is to select the proper similarity algorithm which can assist owners to effectively reuse the valuable review cases. The literature review found prevailing similarity algorithms. Case analysis was carried out for deeply analyzing the feasibilities of the algorithms after finding the features of the sentences of documents. Finally, the validation step indicated that Jaccard similarity coefficient algorithm is proper for reviewing the contract documents of school BTL projects in terms of precision, recall, and accuracy. |