通过搜索行为分析支持文化遗产信息的发掘

Noemi Mauro
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引用次数: 4

摘要

主题地图,传统上是为了在确定的地理区域内呈现特定主题而开发的,由于它们提供了对领土的抽象视图,因此是文化遗产探索的有趣信息呈现模式。然而,为了应对可能存在的用户兴趣异质性,应根据用户的具体兴趣,根据用户的具体兴趣,对其进行调整,包括相关类型的信息。在之前的一篇论文中,我们提出了一种在OnToMap参与式地理信息系统(GIS)中集成专题地图的方法,以支持探索性搜索任务期间的查询扩展。我们提出的地图是建立在一项调查的基础上的,在这项调查中,我们要求人们对一组概念与我们开发地图所围绕的五个主题的相关性进行评级。在本文中,我们更进一步,在分析搜索引擎查询日志中频繁出现的搜索兴趣的基础上,提出了一种更通用的信息搜索支持方法,以自动创建主题地图。这种类型的分析支持识别人们在同一会话中经常搜索的概念集群,并帮助识别在探索信息空间时可以向用户提出的共同出现的主题。这样,当用户浏览文化遗产信息目录时,既可以可视化与搜索上下文相关的专题地图,又可以在信息类型的导航中被引导,寻找可能互补的数据类型来满足他/她的需求。
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Supporting the Exploration of Cultural Heritage Information via Search Behavior Analysis
Thematic maps, traditionally developed to present specific themes within defined geographical areas, are an interesting information presentation model for Cultural Heritage exploration because of the abstract view on the territory they provide. However, in order to cope with possibly heterogeneous user interests, they should be adapted to the individual user by including the relevant types of information, given her/his specific interests. In a previous paper, we proposed an approach to the integration of thematic maps in the OnToMap Participatory GIS (Geographic Information System), in order to support query expansion during an exploratory search task. The proposed maps were built on the basis of a survey in which we asked people to rate the relevance of a set of concepts to five main themes around which we developed the maps. In this paper we go one step forward and we propose a more general approach to information search support in order to automatically create thematic maps, based on the analysis of frequently co-occurring search interests in a search engine query log. This type of analysis supports the identification of clusters of concepts that people frequently search within the same sessions and helps the identification of co-occurring topics that can be proposed to users when exploring an information space. In this way, when the user browses a catalog of Cultural Heritage information, (s)he can both visualize the thematic maps relevant to the search context, and be guided in the navigation within types of information, looking for possibly complementary types of data to satisfy her/his needs.
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