The formulation of analytical queries over Knowledge Graphs in RDF is a challenging task that presupposes familiarity with the syntax of the corresponding query languages and the contents of the graph. To alleviate this problem, we introduce a model for aiding users in formulating analytic queries over complex, i.e., not necessarily star schema-based, RDF Knowledge Graphs. To come up with an intuitive interface, we leverage the familiarity of users with Faceted Search systems. In particular, we start from a general model for Faceted Search over RDF data, and we extend it with actions that enable users to formulate analytic queries, too. Thus, the proposed model can be used not only for formulating analytic queries but also for exploratory purposes, i.e., for locating the desired resources in a Faceted Search manner. We describe the model from various perspectives, i.e., (1) we propose a generic user interface for intuitively analyzing RDF Knowledge Graphs, (2) we define formally the state space of the interaction model and the required algorithms for producing the user interface actions, (3) we present an implementation of the model that showcases its feasibility, and (4) we discuss the results of an evaluation with users that provides evidence for the acceptance of the method by users. Apart from being intuitive for end users, another distinctive characteristic of the proposed model is that it allows the gradual formulation of complex analytic queries (including nested ones).

在 RDF 中对知识图进行分析查询的制定是一项具有挑战性的任务，其前提是熟悉相应查询语言的语法和图的内容。为了缓解这个问题，我们引入了一种模型，用于帮助用户在复杂的（即不一定基于星型模式）RDF 知识图上制定分析查询。为了提供直观的界面，我们利用用户对分面搜索系统的熟悉程度。特别是，我们从 RDF 数据上分面搜索的通用模型开始，并通过允许用户制定分析查询的操作来扩展它。因此，所提出的模型不仅可以用于制定分析查询，还可以用于探索目的，即，用于以分面搜索方式定位所需资源。我们从不同的角度描述模型，即（1）我们提出了一个通用的用户界面来直观地分析 RDF 知识图，（2）我们正式定义了交互模型的状态空间和生成用户界面操作所需的算法， （3）我们提出模型的实现，展示其可行性，（4）我们与用户讨论评估结果，为用户接受该方法提供证据。除了对最终用户来说直观之外，所提出的模型的另一个显着特征是它允许逐步制定复杂的分析查询（包括嵌套查询）。