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Enriching user profiles using geo-social place semantics in geo-folksonomies

机译:在地理民俗分类法中使用地理社交场所语义丰富用户个人资料

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摘要

Geo-folksonomies link social web users to geographic places through the tags users choose to label the places with. These tags can be a valuable source of information about the user's perception of place and can reflect their experiences and activities in the places they label. By analysing the associations between users, places and tags, an understanding of a place and its relationships with other places can be drawn. This place characterisation is unique, dynamic and reflects the perception of a particular user community that generated the geo-folksonomy. In this work, an approach is proposed to analysing geo-folksonomies that builds on and extends existing statistical methods by considering specific concepts of relevance to geographic place resources, namely, place types and place-related activities, and by building a place ontology to encode those concepts and relationships. The folksonomy analysis and evaluation are demonstrated using a realistic geo-folksonomy data set. The resulting ontology is used to build user profiles from the folksonomy. The derived profiles reflect the association between users and the specific places they tag as well as other places with relevant associated place type and activities. The methods proposed here provide the potential for many interesting and useful applications, including the harvesting of useful insight on geographic space and employing the derived user profiles to enhance the search experience and to identify similarities between users based on their association to geographic places.
机译:地理民俗分类通过用户选择用来标记地点的标签将社交网络用户链接到地理位置。这些标签可以成为有关用户对位置的感知的有价值的信息来源,并且可以在他们标记的位置反映他们的体验和活动。通过分析用户,地点和标签之间的关联,可以得出对地点及其与其他地点的关系的理解。这个地方的特征是独特的,动态的,并反映了产生地理民俗学的特定用户社区的看法。在这项工作中,提出了一种分析地理-人类分类的方法,该方法建立在并扩展了现有的统计方法,方法是考虑与地理资源相关的特定概念,即场所类型和与场所相关的活动,并通过构建场所本体进行编码这些概念和关系。使用现实的地理民俗调查数据集证明了民俗调查分析和评估。所得的本体用于根据民俗分类法建立用户档案。派生的配置文件反映了用户与其标记的特定地点以及具有相关的相关地点类型和活动的其他地点之间的关联。此处提出的方法为许多有趣和有用的应用提供了潜力,包括收获对地理空间的有用见解,并使用派生的用户资料来增强搜索体验并基于用户与地理位置的关联来识别用户之间的相似性。

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