Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized,...
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Management of natural and industrial hazards is performed through cooperation of a multitude of actors, sometimes from different institutions sharing common objectives, which belong to virtual organizations responsibl...
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ISBN:
(纸本)9781509038985
Management of natural and industrial hazards is performed through cooperation of a multitude of actors, sometimes from different institutions sharing common objectives, which belong to virtual organizations responsible of monitoring risks and responding to emergency situations. The information systems dedicated to this domain are multi-disciplinary, highly distributed, and characterized by the co-existence of physical and computational artifacts. The paper introduces a modeling framework for the description and development of hazard management systems, implemented for prediction, decision support and early warning. The framework is not dependent of any modeling language and it is applied here for the characterization and the comparative analysis of two platforms: one for accidental river pollution and the other for the propagation of radioactive clouds in case of nuclear plants incidents.
We consider the public understanding of software and its engineering to be imperative for citizens in the rapidly digitizing world. In this vision paper, we explore the possibilities of using software and systems engi...
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ISBN:
(纸本)9798400706226
We consider the public understanding of software and its engineering to be imperative for citizens in the rapidly digitizing world. In this vision paper, we explore the possibilities of using software and systems engineering models for communicating quality aspects of software-intensive systems to their users. We provide a scope, vision, and research challenges in this direction, aiming to facilitate transparency about design choices and relevant quality attributes in areas such as safety, security, and privacy. Ultimately, we envision that these efforts can contribute to an improved public understanding of softwaresystems.
Information Extraction (IE) processes are often business-critical, but very hard to automate due to a heterogeneous data basis. Specific document characteristics, also called features, influence the optimal way of pro...
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ISBN:
(纸本)9789897585883
Information Extraction (IE) processes are often business-critical, but very hard to automate due to a heterogeneous data basis. Specific document characteristics, also called features, influence the optimal way of processing. Architecture for Automated Generation of Distributed Information Extraction Pipelines (ARTIFACT) supports businesses in successively automating their IE processes by finding optimal IE pipelines. However, ARTIFACT treats each document the same way, and does not enable document-specific processing. Single solution strategies can perform extraordinarily well for documents with particular traits. While manual approvals are superfluous for these documents, ARTIFACT does not provide the opportunity for Fully Automatic Processing (FAP). Therefore, we introduce an enhanced pattern that integrates an extensible and domain-independent concept of feature detection based on microservices. Due to this, we create two fundamental benefits. First, the document-specific processing increases the quality of automated generated IE pipelines. Second, the system enables FAP to eliminate superfluous approval efforts.
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