Towards Searching Domain Assets Based on Semantic Similarity

Abstract

Domain Assets are the domain knowledge constructed according to the common requirements in the domain. In order to reuse the domain assets effectively, a domain assets search algorithm is proposed in this paper. Compared with the keyword search, this algorithm is based on semantic similarity, and the domain assets that closely satisfy the users can be selected so as to alleviate the burden of users when users search the domain assets. In addition, an example in transportation domain is illustrated to validate the effect of this algorithm.