236 research outputs found
Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks
Providing descriptions of isolated sensors and sensor networks in natural language, understandable by the general public, is useful to help users find relevant sensors and analyze sensor data. In this paper, we discuss the feasibility of using geographic knowledge from public databases available on the Web (such as OpenStreetMap, Geonames, or DBpedia) to automatically construct such descriptions. We present a general method that uses such information to generate sensor descriptions in natural language. The results of the evaluation of our method in a hydrologic national sensor network showed that this approach is feasible and capable of generating adequate sensor descriptions with a lower development effort compared to other approaches. In the paper we also analyze certain problems that we found in public databases (e.g., heterogeneity, non-standard use of labels, or rigid search methods) and their impact in the generation of sensor descriptions
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Computational Journalism
This chapter provides a summary of, and commentary on, academic studies focused on computational journalism. This chapter considers computational journalism to be the advanced application of computing, algorithms, and automation to the gathering, evaluation, composition, presentation, and distribution of news. As will be shown, the focus of computational journalism’s literature has broadened over time. An initial emphasis on searching for and analyzing data as part of investigative journalism endeavors has faded as automated news writing, novel forms of interactive news presentation, and personalized news distribution have been addressed. There has also been a growing critical engagement, tempering the early, broadly optimistic analyses with more realistic assessments of computation’s effects on the practice of journalism, its content, and reception. The chapter ends with a discussion of how the literature is evolving, addressing new practices — such as “sensor journalism” and interactive chatbots—and also questioning whether computational journalism’s technical essence has been adequately addressed by the sociological contributions to its current corpus
The Original Version of Soccer News Generator „Newerator”
Bakalaureusetöö eesmärk oli luua programm, mis on võimeline genereerima eestikeelseid jalgpalli tulemusuudiseid Euroopa viie suurima kõrgliiga – Inglismaa, Saksamaa, Hispaania, Itaalia, Prantsusmaa – kohta. Valminud programm aitab lihtsustada ajakirjaniku tööd jalgpalliuudise koostamisel ja tuua tavalugejani valitud mängu uudis, ilma et peaks seda mõnelt kindlalt veebilehelt otsima.The aim of this thesis was to create a program, which is able to generate Estonian language soccer news. The program helps to simplify work of a sports journalist and allows a common user to get news of a certain game, without searching the results from websites
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Social media monitoring apps in news work: A mixed-methods study of professional practices and journalists’ and citizens’ opinions
Social media plays an important role for journalists, as a source of breaking news and a way of monitoring trends and sentiment. To help journalists find and filter newsworthy social media content, a number of sophisticated apps have been developed, some by social media platforms themselves and others by third parties. This article explores the use of such apps by UK journalists and the opinions of social media users who are surveilled by them. The results reveal that, as of 2018, a third of UK journalists use social media monitoring apps, and that some of these journalists believe these apps have pushed them to increase their reporting of social media trends. Journalists appreciate the speed with which such apps can alert them to newsworthy information but are sceptical about the claim that verification can be automated. Citizens raise concerns about social media surveillance, especially, but not exclusively, that occurring in the journalism context
Advances in Grid Computing
This book approaches the grid computing with a perspective on the latest achievements in the field, providing an insight into the current research trends and advances, and presenting a large range of innovative research papers. The topics covered in this book include resource and data management, grid architectures and development, and grid-enabled applications. New ideas employing heuristic methods from swarm intelligence or genetic algorithm and quantum encryption are considered in order to explain two main aspects of grid computing: resource management and data management. The book addresses also some aspects of grid computing that regard architecture and development, and includes a diverse range of applications for grid computing, including possible human grid computing system, simulation of the fusion reaction, ubiquitous healthcare service provisioning and complex water systems
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