Understanding user’s search intent in vertical websites like IT service crowdsourcing platform relies heavily on domain knowledge. Meanwhile, searching for services accurately on crowdsourcing platforms is still difficult, because these platforms do not contain enough information to support high-performance search. To solve these problems, we build and leverage a knowledge graph named ITServiceKG to enhance search performance of crowdsourcing IT services. The main ideas are to (1) build an IT service knowledge graph from Wikipedia, Baidupedia, CN-DBpedia, StuQ and data in IT service crowdsourcing platforms, (2) use properties and relations of entities in the knowledge graph to expand user query and service information, and (3) apply a listwise approach with relevance features and topic features to re-rank the search results. The results of our experiments indicate that our approach outperforms the traditional search approaches.

中文翻译：

---

IT 众包平台中的语义服务搜索：基于知识图谱的方法

在 IT 服务众包平台等垂直网站中了解用户的搜索意图在很大程度上依赖于领域知识。同时，在众包平台上准确搜索服务仍然很困难，因为这些平台没有足够的信息来支持高性能搜索。为了解决这些问题，我们构建并利用名为 ITServiceKG 的知识图谱来提高众包 IT 服务的搜索性能。主要思想是：（1）从维基百科、百度百科、CN-DBpedia、StuQ和IT服务众包平台中的数据构建IT服务知识图谱；（2）利用知识图谱中实体的属性和关系来扩展用户查询和服务信息，以及 (3) 应用具有相关性特征和主题特征的列表方法来重新排列搜索结果。