In this paper the combination of two new techniques in fact retrieval is discussed: A fuzzy logic based interpretation mechanism allowing the construction and translation of queries containing vague concepts (linguistic variables) and a graphical retrieval tool for factual data in which the user can specify queries by directly manipulating line charts of data sets in the database or drawing typ...

Social media communities (e.g. Wikipedia, Flickr, Live Q&A) give rise to distinct types of content, foremost among which are relational content (discussion, chat) and factual content (answering questions, problem-solving). Both users and researchers are increasingly interested in developing strategies that can rapidly distinguish these types of content. While many text-based and structural stra...

Many modern goods have both factual and perceptual features. While factual features such as technical specifications can easily be handled by existing database technology, perceptual features such as design or usage experience are very hard to deal with. However, with the huge success and growing market share of online shopping, retailers face the need to provided detailed and structured inform...

When reasoning about the facts of a case, we typically use stories to link the known events into coherent wholes. One way to establish coherence is to appeal to past examples, real or fictitious. These examples can be chosen and critiqued using the case-based reasoning (CBR) techniques from the AI and Law literature. In this paper, we apply these techniques to factual stories, assessing a story...

A commonly used dynamic epistemic logic is one obtained by adding common knowledge and public announcements to a basic epistemic logic. It is known from Kooi (2007) that adding public substitutions to such a logic adds expressivity over the class K of models. Here I show that substitutions also add expressivity over the classes KD45, S4 and S5 of models. Since the combination of common knowledg...

The significance of counterfactual thinking in the causal judgment process has been emphasized for nearly two decades, yet no previous research has directly compared the relative effect of thinking counterfactually versus factually on causal judgment. Three experiments examined this comparison by manipulating the task frame used to focus participants’ thinking about a target event. Prior to mak...

The extremely large number of association rules that can be drawn from – even reasonably sized datasets, bootstrapped the development of more acute techniques or methods to reduce the size of the reported rule sets. In this context, the battery of results provided by the Formal Concept Analysis (FCA) allowed one to define “irreducible” nuclei of association rule subset better known as generic b...

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