利用维基百科进行跨域搜索

Chen Liu, Sai Wu, Shouxu Jiang, A. Tung
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引用次数: 12

摘要

各种媒体格式的丰富Web 2.0资源要求更好的资源集成,以丰富用户体验。这自然会导致新的跨模态资源搜索需求,其中查询是一种模态中的资源,而结果是其他模态中密切相关的资源。通过跨模式搜索,我们可以更好地利用现有资源。与Web 2.0资源关联的标记是将不同形态的资源链接在一起的直观媒介。然而,标记本质上是一种特别的活动。它们通常包含噪音,并受到贴标者主观倾向的影响。因此,简单地通过标签链接资源是不可靠的。在本文中,我们提出了一种将标记资源链接到从维基百科中提取的概念的方法,维基百科在过去几年中已经成为一个相当可靠的参考。因此,与标签相比,概念的质量更高。我们基于与资源相关的概念开发了有效的跨模式搜索方法。进行了大量的实验,结果表明我们的解决方案取得了良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross Domain Search by Exploiting Wikipedia
The abundance of Web 2.0 resources in various media formats calls for better resource integration to enrich user experience. This naturally leads to a new cross-modal resource search requirement, in which a query is a resource in one modal and the results are closely related resources in other modalities. With cross-modal search, we can better exploit existing resources. Tags associated with Web 2.0 resources are intuitive medium to link resources with different modality together. However, tagging is by nature an ad hoc activity. They often contain noises and are affected by the subjective inclination of the tagger. Consequently, linking resources simply by tags will not be reliable. In this paper, we propose an approach for linking tagged resources to concepts extracted from Wikipedia, which has become a fairly reliable reference over the last few years. Compared to the tags, the concepts are therefore of higher quality. We develop effective methods for cross-modal search based on the concepts associated with resources. Extensive experiments were conducted, and the results show that our solution achieves good performance.
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