In this paper, we present a comparative analysis of the leading rule- based information extraction systems in both research and industry, focusing on their main characteristics and their performance. Our evaluation was performed on a dataset of text documents about financial product descriptions...
04b Atto di convegno in volume
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We propose a new framework for combining entity resolution and query answering in knowledge bases (KBs) with tuple-generating dependencies (tgds) and equality-generating dependencies (egds) as rules. We define the semantics of the KB in terms of special instances that involve equivalence classes of...
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Query answering for Knowledge Bases (KBs) amounts to extracting information from the various models of a KB, and presenting the user with an object that represents such information. In the vast majority of cases, this object consists of those tuples of constants that satisfy the query expression...
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Italian Arthroplasty Registry (Registro Italiano ArtroProtesi, RIAP) is organized as a federation of regional registries, involved on voluntary basis, with the purpose of collecting data to monitor joint prostheses safety and quickly recall patients in case of adverse events. Data collection flows...
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We consider prophet inequalities under downward-closed constraints. In this problem, a decision-maker makes immediate and irrevocable choices on arriving elements, subject to constraints. Traditionally, performance is compared to the expected offline optimum, called the Ratio of Expectations ( )....
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According to recent research, geometric deep learning allows to reach unprecedented accuracy for online misinformation detection. By fully leveraging the news social context, URL propagation paths in social networks are first represented as graphs and then classified using Graph Neural Network (GNN...
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In recent years, there has been a growing interest in employing intelligent techniques for managing manufacturing processes in smart manufacturing. These processes often involve tens of resources distributed across several different companies that make up the supply chain. The status of these...
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The problem of non-cooperative load balancing arises in multi-agent scenarios where users/services compete for some limited resources. This study, leveraging on results from set stability and switched systems control theory, analyses the convergence properties of a class of load-balancing...
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We present a framework devised to help teachers analysing a collection of learners’ concept maps, with the aim to give priority to maps that could reveal learners’ cognitive problems, irrespective of the actual validity of the maps. The framework offers a 3-D visualization of maps’ features, that...
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Nowadays, overwhelmed as people are by the amount of information available, it becomes more and more difficult to build an adequate cognitive process of knowledge building and discovery, on any one knowledge domain. Therefore, having knowledge-building tools at disposition, especially in the age of...