Integrating Community Question and Answer Archives
Integrating Community Question and Answer Archives
复制标题
DOI：
10.1609/aaai.v25i1.8086
复制
发表时间：
2011-08
期刊：
影响因子：
--
通讯作者：
Wei Wei-Wei;G. Cong;X. Li;See-Kiong Ng;Guohui Li
中科院分区：
文献类型：
--
作者：
Wei Wei-Wei;G. Cong;X. Li;See-Kiong Ng;Guohui Li
社区问答服务中的问题和答案对被组织成层次结构或分类，以方便用户方便地找到他们的问题的答案。我们观察到，不同的CQA服务有自己的知识重点，并使用不同的分类来组织他们的问题和答案对在他们的档案。由于CQA服务的分类之间没有简单的语义映射，因此CQA服务的集成是一项具有挑战性的任务。现有的分类法集成方法忽略了源分类法的层次结构。在本文中，我们提出了一种新的方法，能够将父子和兄弟信息的层次结构的源分类准确的分类集成。我们的实验结果与真实的世界CQA数据表明，该方法显着优于国家的最先进的方法。
Question and answer pairs in Community Question Answering (CQA) services are organized into hierarchical structures or taxonomies to facilitate users to find the answers for their questions conveniently. We observe that different CQA services have their own knowledge focus and used different taxonomies to organize their question and answer pairs in their archives. As there are no simple semantic mappings between the taxonomies of the CQA services, the integration of CQA services is a challenging task. The existing approaches on integrating taxonomies ignore the hierarchical structures of the source taxonomy. In this paper, we propose a novel approach that is capable of incorporating the parent-child and sibling information in the hierarchical structures of the source taxonomy for accurate taxonomy integration. Our experimental results with real world CQA data demonstrate that the proposed method significantly outperforms state-of-the-art methods.