基于语义相似度的领域资产搜索研究

Wei Guo, Jian Wang, K. He, Dunhui Yu, Pengfei Du
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引用次数: 2

摘要

领域资产是根据领域的共同需求构造的领域知识。为了有效地重用领域资产,本文提出了一种领域资产搜索算法。与关键词搜索相比,该算法基于语义相似度,可以选择用户最满意的领域资产,减轻用户在搜索领域资产时的负担。最后,通过交通领域的实例验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Searching Domain Assets Based on Semantic Similarity
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.
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