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基于结构分类的个性化概念搜索与数据网络探索

Personalized Concept - based Search and Exploration on the Web of Data using Results Categorization
课程网址: http://videolectures.net/eswc2013_wade_results_categorization/  
主讲教师: Vincent Wade
开课单位: 都柏林圣三一大学
开课时间: 2013-07-08
课程语种: 英语
中文简介:
随着链接开放数据(LOD)的大小增加,搜索和探索LOD变得更具挑战性。为了克服这个问题,我们基于基于概念的结果分类,为数据Web(WoD)提出了一种新颖的个性化搜索和探索机制。在我们的方法中,搜索结果(LOD资源)在概念上被分类为UMBEL概念,以形成概念镜头,这有助于探索性搜索和浏览。当用户选择用于探索的概念镜头时,立即对结果进行个性化。特别地,所有概念镜头根据它们与所选概念镜头的相似性使用相似性度量进行个人重组。在选定的概念镜头内;使用结果重新排序和查询扩展包括更相关的结果,并且建议相关概念镜头支持结果探索。这是我们的方法提供的创新功能,因为它允许动态调整结果到用户的本地选择。我们还支持互动个性化;当用户点击结果时,在交互镜头内,使用结果重新排序和查询扩展来包括相关类别和结果。我们的个性化方法非侵入性,隐私保护和可扩展性,因为它不需要登录并在客户端实现。为了评估提议的个性化搜索的效果,在旅游领域创建了基准。结果表明,所提出的方法比基于非自适应基线概念的搜索和传统排序列表呈现动作表现得更好。
课程简介: As the size of the Linked Open Data (LOD) increases, searching and exploring LOD becomes more challenging. To overcome this issue, we propose a novel personalized search and exploration mechanism for the Web of Data (WoD) based on concept based results categorization. In our approach , search results (LOD resources) are conceptually categorized into UMBEL concepts to form concept lenses, which assist exploratory search and browsing. When the user selects a concept lens for exploration, results are immediately personalized. In particular, all concept lenses are personally reorganized according to their similarity to the selected concept lens using a similarity measure. Within the selected concept lens; more relevant results are included using results re-ranking and query expansion, as well as relevant concept lenses are suggested to support results exploration. This is an innovative feature offered by our approach since it allows dynamic adaptation of results to the user’s local choices. We also support interactive personalization; when the user clicks on a result, within the interacted lens, relevant categories and results are included using results re-ranking and query expansion. Our personalization approach is non intrusive, privacy preserving and scalable since it does not require log in and implemented at the client side. To evaluate efficacy of the proposed personalized search, a benchmark was created on a tourism domain. The results showed that the proposed approach performs significantly better than a non adaptive baseline concept based search and traditional ranked list present action.
关 键 词: 链接开放数据; 数据Web; 概念镜头
课程来源: 视频讲座网
最后编审: 2020-09-18:chenxin
阅读次数: 53